Publications

Below, you will find a complete list of our publications, showcasing our work in the artificial intelligence field. Our publications offer a glimpse into the innovative approaches we are taking to shape the future of AI and education.

Discover Our Research on Google Scholar

2025

An, S., Hammock, J., & Goel, A. (2025). How Online Learners Engage in Self-Directed Modeling: A Behavioral Analysis. International Journal of Artificial Intelligence in Education, 1-28. View More...
Dass, R. K., Madhusudhana, R. H., Deye, E. C., Verma, S., Bydlon, T. A., Brazil, G., & Goel, A. K. (2025, July). Ivy: a hybrid knowledge-based and generative AI coach for explaining procedural skills. In International Conference on Artificial Intelligence in Education (pp. 233-246). Cham: Springer Nature Switzerland. View More...
Wang, L., Anyi, C. L., Xu, K., Liu, Y., Arriaga, R. I., & Goel, A. K. (2025, July). Explainable AI for Daily Scenarios from End-Users’ Perspective: Non-Use, Concerns, and Ideal Design. In Proceedings of the 2025 ACM Designing Interactive Systems Conference (pp. 2328-2349). View More...
J. Wójcik, B. Harbison, V. Nadana, H.W. Tai, P. Thajchayapong, A. Goel. (2025) Measuring the Impact of AI Social Agents on Belonging in Learning Communities. In Proc. EDULEARN25. View More...
J.A. Santana, P. Thajchayapong, S. Rugaber, A. Goel. (2025) A Highly Configurable Data Analytics Pipeline for Learning. In Proc. EDULEARN25. View More...
J. Kos, R. Singh, C. Lum, A. Goel. (2025) Scaffolding Learners' Ecological Domain Knowledge to Support Inquiry Based Modeling. In Prod. EDULEARN25. View More...
K. Fryer, P. Thajchayapong, A. Goel. (2025) AI Adoption in Education: How Cognitive, Motivational, and Demographic Factors Shape Help-Seeking with a Virtual Teaching Assistant. In Proc. EDULEARN25. View More...
Lum, C., Deye, E., Brazil, G., Bydlon, T., Verma, S., Madhusudhana, R., ... & Goel, A. (2025, June). Designing an AI coaching system for interactive video-based skill learning. In International Conference on Intelligent Tutoring Systems (pp. 281-291). Cham: Springer Nature Switzerland. View More...
Thajchayapong, P., & Goel, A. K. (2025, May). Personalized learning through ai-driven data pipeline. In Proceedings of the AAAI Symposium Series (Vol. 5, No. 1, pp. 111-114). View More...
Park, J., & Goel, A. K. (2025, May). Human-Centric Teaching at Scale in Online Education through Bidirectional Feedback in Human-AI Interaction. In Proceedings of the AAAI Symposium Series (Vol. 5, No. 1, pp. 93-94). View More...
Wang, L., & Goel, A. K. (2025, May). Reimagining Human-AI Social Collaboration. In Proceedings of the AAAI Symposium Series (Vol. 5, No. 1, pp. 122-123). View More...
Basu, S., Brown, J., Lum, C., Park, J., & Goel, A. K. (2025, May). Bidirectional Feedback-Based Personalization of Learning using Multi-tier AI: A Real-World Assessment of its Efficacy in Classrooms. In Proceedings of the AAAI Symposium Series (Vol. 5, No. 1, pp. 50-51). View More...
Goel, A., Thajchayapong, P., Nandan, V., Sikka, H., & Rugaber, S. (2025). A4L: An Architecture for AI-Augmented Learning. arXiv preprint arXiv:2505.06314. View More...
Wang, L., Liu, Y., & Goel, A. K. (2025). " Good" XAI Design: For What? In Which Ways?. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-13). View More...
Dass, R. K., Madhusudhana, R. H., Deye, E. C., Verma, S., Bydlon, T. A., Brazil, G., & Goel, A. K. (2025). Enhanced Question-Answering for Skill-based learning using Knowledge-based AI and Generative AI. arXiv preprint arXiv:2504.07463. View More...
Taneja, K., Singh, A., & Goel, A. K. (2025, July). Towards a Multimodal Document-grounded Conversational AI System for Education. In International Conference on Artificial Intelligence in Education (pp. 92-99). Cham: Springer Nature Switzerland. View More...
Maiti, P., & Goel, A. (2025, March). Can an AI Partner Empower Learners to Ask Critical Questions?. In Proceedings of the 30th International Conference on Intelligent User Interfaces (pp. 314-324). View More...
de Miranda, M. P., Islam, M., Basappa, R., Taylor, T., & Goel, A. (2025). Adaptable Social AI Agents. ToM4AI 2025, 26. View More...
Buckley, S., Kos, J., Dass, R., Teng, C., Eaton, K., Zhang, S., & Goel, A. (2024). A Personalized AI Coach to Assist in Self-Directed Learning. View More...
Kos, J., Eaton, K., Zhang, S., Dass, R., & Goel, A. (2025). Using Comparative Machine Learning Methods to Validate Educational Content. View More...
Taneja, K., & Goel, A. K. (2025). MuDoC: An Interactive Multimodal Document-grounded Conversational AI System. arXiv preprint arXiv:2502.09843. View More...
Basappa, R., Tekman, M., Lu, H., Faught, B., Kakar, S., & Goel, A. K. (2025). Self-Explanation in Social AI Agents. arXiv preprint arXiv:2501.13945. View More...
Olson, A., Maiti, P., & Goel, A. (2025). The Textbook of Tomorrow: Rethinking Course Material Interfacing in the Era of GPT. arXiv preprint arXiv:2501.03618. View More...

2024

Taneja, K., & Goel, A. (2024). Can Active Label Correction Improve LLM-based Modular AI Systems?. arXiv preprint arXiv:2401.05467. View More...
Madhusudhana, R. H., Dass, R. K., Luu, J., & Goel, A. K. (2024). Integrating Cognitive AI with Generative Models for Enhanced Question Answering in Skill-based Learning. arXiv preprint arXiv:2407.19393 View More...
Sushri, S., Dass, R., Basappa, R., Lu, H., & Goel, A. (2024). Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents. arXiv preprint arXiv:2407.18335. View More...
Lindgren, R., Kakar, S., Maiti, P., Taneja, K., & Goel, A. (2024). Does Jill Watson Increase Teaching Presence?. In Proceedings of the Eleventh ACM Conference on Learning@ Scale (pp. 269-273). View More...
Maiti, P., & Goel, A. K. (2024). How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings?. arXiv preprint arXiv:2407.17429. View More...
Taneja, K., Maiti, P., Kakar, S., Guruprasad, P., Rao, S., & Goel, A. (2024) Jill Watson: A Virtual Teaching Assistant powered by ChatGPT. In International Conference on Artificial Intelligence in Education, pp. 324-337. Cham: Springer Nature Switzerland. View More...
Basappa, R., Tekman, M., Lu, H., Faught, B., Kakar, S., & Goel, A. K. (2024, June). Social ai agents too need to explain themselves. In International Conference on Intelligent Tutoring Systems (pp. 351-360). Cham: Springer Nature Switzerland. View More...
Kos, J., Ayyappan, D., & Goel, A. (2024, June). A Constructivist Framing of Wheel Spinning: Identifying Unproductive Behaviors with Sequence Analysis. In International Conference on Intelligent Tutoring Systems (pp. 174-187). Cham: Springer Nature Switzerland. View More...
Kos, J., Ayyappan, D., & Goel, A. (2024, June). A Constructivist Framing of Wheel Spinning: Identifying Unproductive Behaviors with Sequence Analysis. In International Conference on Intelligent Tutoring Systems (pp. 174-187). Cham: Springer Nature Switzerland. View More...
Kakar, S., Maiti, P., Taneja, K., Nandula, A., Nguyen, G., Zhao, A., ... & Goel, A. (2024, June). Jill Watson: scaling and deploying an AI conversational agent in online classrooms. In International Conference on Intelligent Tutoring Systems (pp. 78-90). Cham: Springer Nature Switzerland. View More...
Wang, Q., Anyi, C. L., Swain, V. D., & Goel, A. K. (2024). Navigating AI Fallibility: Examining People's Reactions and Perceptions of AI after Encountering Personality Misrepresentations. arXiv preprint arXiv:2405.16355. View More...
Wang, Q. (2024). Mutual theory of mind for human-AI communication in AI-mediated social interaction (Doctoral dissertation, Ph. D. Dissertation. Georgia Institute of Technology). View More...
Wang, L., Li, X., Zhou, D., & Goel, A. K. (2024). Applying Theory of Mind to Personalize AI for Supporting Life Transitions. Proceedings of ToMinHAI at CHI. View More...
Wang, Q., Walsh, S., Si, M., Kephart, J., Weisz, J. D., & Goel, A. K. (2024, May). Theory of mind in human-ai interaction. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-6). View More...
Lyndgaard, S. F., Goel, A., & Kanfer, R. (2024, April) Personalization of AI-supported ecological learning: Affective experiences as a function of traits, beliefs, and behaviors. In V. Castro (Chair), AI Across Educational Contexts. [Paper session]. American Educational Research Association Annual Meeting, Philadephia, PA. https://doi.org/10.3102/2103270 View More...
Goel, A., Dede, C., Garn, M., & Ou, C. (2024). AI‐ALOE: AI for reskilling, upskilling, and workforce development. Ai Magazine, 45(1), 77-82. View More...
Goel, A., Ou, C. (2024) Introduction to the Special Issue. AI Mag. 45(1): 4-5 View More...
Goel, A., Nandan, V., Gregori, E., An, S., & Rugaber, S. (2024). Explanation as Question Answering Based on User Guides. In S. Tulli & D. W. Aha (Eds.), Explainable Agency in Artificial Intelligence: Research and Practice. CRC Press. View More...

2023

Kos, J., Eaton, K., Zhang, S., Dass, R., Buckley, S., An, S., & Goel, A. (2023). Using Analytics on Student Created Data to Content Validate Pedagogical Tools. arXiv preprint arXiv:2312.06871. View More...
Holmes, L., Crossley, S., Sikka, H., & Morris, W. (2023). PIILO: an open-source system for personally identifiable information labeling and obfuscation. Information and Learning Sciences, 124(9/10), 266-284. View More...
Hornback, A., An, S., Bunin, S., Buckley, S., Kos, J., & Goel, A. (2023). Conducting A/B Experiments with a Scalable Architecture. arXiv preprint arXiv:2309.13450. View More...
Lee, J., Nandan, V., Sikka, H., Rugaber, S., & Goel, A. (2023). Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent. arXiv preprint arXiv:2308.00813. View More...
Hornback, A., Buckley, S., Kos, J., Bunin, S., An, S., Joyner, D., & Goel, A. (2023, July). A Scalable Architecture for Conducting A/B Experiments in Educational Settings. In Proceedings of the Tenth ACM Conference on Learning@ Scale (pp. 373-377). View More...
Holmes, L., Crossley, S. A., Morris, W., Sikka, H., & Trumbore, A. (2023). Deidentifying Student Writing with Rules and Transformers. International Conference on Artificial Intelligence in Education. View More...
Donlon, J., & Goel, A. (2023). Looking back, looking ahead: Strategic initiatives in AI and NSF's AI Institutes Program. AI Magazine, 44(3), 345-348. View More...
Wang, Q., Madaio, M., Kane, S., Kapania, S., Terry, M., & Wilcox, L. (2023, April). Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-16). View More...

2022

Parashar, P., Goel, A. K., & Christensen, H. I. (2022). Using meta-reasoning for incremental repairs in multi-object robot manipulation tasks. Frontiers in Physics, 10, 975247. View More...
An, S., Bates, R., Rugaber, S., Hammock, J., Weigel, E., & Goel, A. K. (2022). Cognitive Assistance for Inquiry-Based Modeling. arXiv preprint arXiv:2209.02576. View More...
Keech, M., & Goel, A. (2022). Why Are Some Online Educational Programs Successful? Student Cognition and Success. arXiv preprint arXiv:2209.05462. View More...
Wang, Q., Camacho, A. & Goel , A.K. (2022). Investigating the Potential of AI-Based Social Matching Systems to Facilitate Social Interaction Among Online Learners. View More...
An, S., Rugaber, S., Hammock, J., & Goel, A. (2022, July). Understanding Self-Directed Learning with Sequential Pattern Mining. In International Conference on Artificial Intelligence in Education. Springer, Cham. View More...
Wang, Q., Jing, S., & Goel, A. K. (2022, June). Co-designing AI agents to support social connectedness among online learners: functionalities, social characteristics, and ethical challenges. In Proceedings of the 2022 ACM Designing Interactive Systems Conference (pp. 541-556). View More...
Wang, Q., & Goel, A. K. (2022). Mutual theory of mind for human-AI communication. arXiv preprint arXiv:2210.03842. View More...
Taneja, K., Sikka, H., & Goel, A. (2022). Human-ai interaction design in machine teaching. arXiv preprint arXiv:2206.05182. View More...
Goel, A., Nandan, V., Gregori, E., An, S., & Rugaber, S. (2024). Explanation as question answering based on user guides. In Explainable Agency in Artificial Intelligence (pp. 70-85). CRC Press. View More...
Bunin, S., Celestin, W., Hornback, A., & Rugaber, S. (2022, June). Incorporating Habitats in Conceptual Models and Agent-Based Simulations: Expanding the Virtual Ecological Research Assistant (VERA). In Proceedings of the Ninth ACM Conference on Learning@ Scale (pp. 472-474). View More...
An, S., Rugaber, S., Hammock, J., & Goel, A. K. (2022). Contextualizing Large-Scale Domain Knowledge for Conceptual Modeling and Simulation. arXiv preprint arXiv:2209.02579. View More...
Lu, H., Hornback, A., Rugaber, S., & Goel, A. K. (2022, July). Recognizing the structure of biological designs in text documents. In International Conference on-Design Computing and Cognition (pp. 21-37). Cham: Springer International Publishing. View More...
Ou, C., Goel, A. K., & Joyner, D. A. (2022). Towards a Pedagogical Framework for Designing and Developing iTextbooks. iTextbooks@ AIED, 2022. View More...
An, S., Weigel, E., & Goel, A. K. (2022, June). Effects of guidance on learning about Ill-defined problems. In International Conference on Intelligent Tutoring Systems (pp. 303-312). Cham: Springer International Publishing. View More...
Goel, A. (2022). Looking back, looking ahead: Humans, ethics, and AI. AI Magazine, 43(2), 267-269. View More...
An, S., Rugaber, S., Hammock, J., & Goel, A. (2022, June). Understanding Self-Directed Learning in an Online Laboratory. arXiv preprint arXiv:2206.02742 View More...
Lyndgaard, S., Tatel, C., Kanfer, R., Melkers, J., & Sabree, J. (2022). Hidden Costs: COVID-19’s Disproportionate Impact on Underrepresented Groups in Online Computing Education. View More...
Xu, W., Shegheva, S., & Goel, A. (2022). Symmetry as a Representation of Intuitive Geometry?. arXiv preprint arXiv:2206.02019. View More...
Goel, A. K., Sikka, H., & Gregori, E. (2022). Agent Smith: Machine Teaching for Building Question Answering Agents. In AAAI Spring Symposium: MAKE. View More...
Taneja, K., Sikka, H., & Goel, A. (2022). A framework for interactive knowledge-aided machine teaching. arXiv preprint arXiv:2204.10357. View More...
Robson, R., Kelsey, E., Goel, A., Nasir, S., Robson, E., Garn, M., ... & Ray, F. (2022). Intelligent links: AI-supported connections between employers and colleges. AI Magazine, 43(1), 75-82. View More...
Wang, Q., Camacho, I., Jing, S., & Goel, A. K. (2022). Understanding the design space of AI-mediated social interaction in online learning: challenges and opportunities. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), 1-26. View More...
Kelsey, E., Goel, A., Egerton, L., Nasir, S., Lisle, M., LaFleur, A., & Robson, E. (2022, April). Making AI work for skills-based training: A case study. In International Training Technology Exhibition & Conference (IT²EC). View More...
Goel, A. K. (2022). National AI Institute for Adult Learning and Online Education: Vision, Goals and Plans. View More...
Goel, A., Nandan, V., Gregori, E., An, S., & Spencer, R. (2022, Feb). Explanation as Question Answering based on User Guides. In AAAI Workshop: Explainable Agency in Artificial Intelligence. View More...
Goel, A., Hagopian, K., Zhang, S., & Rugaber, S. (2022). Towards a virtual librarian for biologically inspired design. In Design Computing and Cognition’20 (pp. 369-386). Cham: Springer International Publishing. View More...
Cascini, G., Nagai, Y., Georgiev, G. V., Zelaya, J., Becattini, N., Boujut, J. F., ... & Wodehouse, A. (2022). Perspectives on design creativity and innovation research: 10 years later. International Journal of Design Creativity and Innovation, 10(1), 1-30. View More...
Goel, A. K. (2021). Looking back, looking ahead: Symbolic versus connectionist AI. AI Magazine, 42(4), 83-85. View More...
Tatel, C. E., Lyndgaard, S. F., Kanfer, R., & Melkers, J. E. (2022). Learning While Working: Course Enrollment Behaviour as a Macro-Level Indicator of Learning Management among Adult Learners. Journal of Learning Analytics, 9(3), 104-124. View More...
McCarthy, K. S., Crossley, S. A., Meyers, K., Boser, U., Allen, L. K., Chaudhri, V. K., ... & Zampieri, M. (2022). Toward more effective and equitable learning: Identifying barriers and solutions for the future of online education. Technology, Mind, and Behavior, 3(1). View More...

2021

Goel, A., Sikka, H., & Gregori, E. (2021). Agent smith: teaching question answering to Jill Watson. arXiv preprint arXiv:2112.13677. View More...
Goel, A., Nandan, V., Gregori, E., An, S., & Rugaber, S. (2021). Explanation as question answering based on design knowledge. arXiv preprint arXiv:2112.09616. View More...
Fitzgerald, T., Goel, A., & Thomaz, A. (2021). Modeling and learning constraints for creative tool use. Frontiers in Robotics and AI, 8, 674292. View More...
Parashar, P., & Goel, A. K. (2021). Meta-reasoning in assembly robots. In Systems Engineering and Artificial Intelligence (pp. 425-449). Cham: Springer International Publishing. View More...
Fitzgerald, T., Goel, A., & Thomaz, A. (2021). Abstraction in data-sparse task transfer. Artificial Intelligence, 300, 103551. View More...
Goel, A., & Hancock, W. (2021). Multifunctional and domain independent? A meta-analysis of case studies of biologically inspired design. Design Science, 7, E24. View More...
Goel, A. (2021). Rethinking AI magazine again. AI Magazine, 42(2), 87-88. View More...
An, S., Rugaber, S., Weigel, E., & Goel, A. (2021). Cognitive strategies for parameter estimation in model exploration. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43, No. 43). View More...
An, S., Broniec, W., Rugaber, S., Weigel, E., Hammock, J., & Goel, A. (2021, June). Recognizing novice learner’s modeling behaviors. In International Conference on Intelligent Tutoring Systems (pp. 189-200). Cham: Springer International Publishing. View More...
Goel, A. K., Kuthalam, M., Hong, S., & McGreggor, K. (2021). Entrepreneurship: A New Frontier in a Computational Science of Creativity. In ICCC (pp. 367-376). View More...
Wang, Q. , Camacho, I. & Goel, A.K. ( 2021). Examining the Design Space of AI-Mediated
Social Matching Among Online Learners. Social and Emotional Learning- An Inclusive Learning Analytics Perspective, edited by Elle Wang et al, Springer. View More...
Wang, Q., Saha, K., Gregori, E., Joyner, D., & Goel, A. (2021). Towards Mutual Theory of Mind in Human-AI Interaction: How Language Reflects What Students Perceive About a Virtual Teaching Assistant. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. View More...
Tong, R., & Goel, A. (2021). AAAI’s New Award for the Societal Benefits of AI — An Interview with Richard Tong. AI Magazine, 42(1), 95-100. View More...
Goel, A. (2021). The Association for the Advancement of Artificial Intelligence's New Award for the Societal Benefits of Artificial Intelligence - An Interview with Richard Tong. AI Magazine, 42(1), 95-100. View More...
Shegeva, S., & Goel, A. (2021). The Role of Symmetry in Geometric Intelligence. Baltic Journal of Modern Computing, 9(3), 260-275. View More...
Broniec, W. (2021). Guiding parameter estimation of agent-based modeling through knowledge-based function approximation. In Proceedings of the AAAI 2021 spring symposium on combining machine learning and knowledge engineering (AAAI-MAKE 2021). View More...
Petit-Bois, R., Jacob, J., Rugaber, S., & Goel, A. K. (2021). Towards a Virtual Librarian for Biologically Inspired Design Knowledge-Based Methods for Document Understanding. In SDU@ AAAI. View More...

2020

An, S., Bates, R., Hammock, J., Rugaber, S., Weigel, E., & Goel, A. (2020, July). Scientific Modeling Using Large Scale Knowledge. In International Conference on Artificial Intelligence in Education (pp. 20-24). Springer, Cham. View More...
Joyner, D.A., Wang, Q., Thakare, S., Jing, S., Goel, A. & MacIntyre, B. (August 2020).The Synchronicity Paradox in Online Education. View More...
Miller Rigoli, C., Goel, A., Bender, A., Goldstone, R. & Nunez, R. (2020). Where is Cognitive Science Now?
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Goel, A. (2020). Ai-powered learning: making education accessible, affordable, and achievable. View More...
Wang, Q., Jing, S., Camacho, I., Joyner, D., & Goel, A. (2020, April). Jill Watson SA: Design and evaluation of a virtual agent to build communities among online learners. In Extended abstracts of the 2020 CHI conference on human factors in computing systems (pp. 1-8). View More...
Shegheva, S. & Goel, A. ( April 2020). Symmetry as an Organizing Principle for Geometric Intelligence. View More...
Broniec, W., An, S., Rugaber, S., & Goel, A. K. (2020). Using VERA to explain the impact of social distancing on the spread of COVID-19. arXiv preprint arXiv:2003.13762. View More...
Goel, A.K., Fitzgerald,T. & Parashar, P. ( 2020).Analogy and metareasoning: Cognitive strategies for robot learning. View More...
Wang, Q., Camacho, I., & Goel, A. (2020). Designing for agent-mediated online social connections: Lessons learned and potential challenges. In URL http://speechinteraction. org/CSCW2020/papers/3-Wang. pdf, presented at the Conversational User Interface Workshop at Computer Supported Cooperative Work (CSCW). View More...

2019

Goel, A. ( October 2019). A Cognitive Reformation. View More...
An, S., Bates, R., Hammock J., Rugaber, S., Weigel, E., & Goel, A. (2019) Cognitive Assistance for Inquiry‐based Modeling. Poster presented at the 7th Annual Conference on Advances in Cognitive Systems (ACS), Cambridge, Aug 2019. View More...
Goel, A.( July 2019).Computational Design, Analogy, and Creativity. View More...
Gonzales, M., Goel, A., "Why Are Some Online Educational Programs Successful?: A Cognitive Science Perspective ", Poster at the 41st Annual Meeting of the Cognitive Science Society (COGSCI). Montreal, Canada. July 201. View More...
An, S., Bates, R., Hammock J., Rugaber, S., Weigel, E., & Goel, A. (2019) Learning by doing:  Supporting experimentation in inquiry-based modeling. Poster presented at the 41st Annual Meeting of the Cognitive Science Society, Montreal, July 2019. View More...
Joyner, D. A., Isbell, C., Starner, T., & Goel, A. (2019, May). Five years of graduate CS education online and at scale. In Proceedings of the ACM conference on global computing education (pp. 16-22). View More...
Fitzgerald, T., Short, E., Goel, A., & Thomaz, A. (2019, May). Human-guided trajectory adaptation for tool transfer. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1350-1358). View More...
Wiltgen, B. J., & Goel, A. K. (2019). A computational theory of evaluation in creative design. IBM Journal of Research and Development, 63(1), 1-1.
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2018

Parashar, P., Goel, A., Sheneman, B., & Christensen, H. (2018). Towards life-long adaptive agents: Using metareasoning for combining knowledge-based planning with situated learning. The Knowledge Engineering Review, 33, E24. doi:10.1017/S0269888918000279 View More...
Eicher, B., Polepeddi, L., & Goel, A. (2018, December). Jill Watson doesn't care if you're pregnant: Grounding AI ethics in empirical studies. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (pp. 88-94). View More...
Ballapuram, P., Christopher C., Abbinayaa S., Sungeun A., Robert B., Spencer R.r, Jennifer H., and Ashok G. (2018) "Question Answering with Encyclopedia of Life: Accessing Large-Scale Biological Knowledge." View More...
Camacho, I., & Goel, A. (2018, June). Longitudinal trends in sentiment polarity and readability of an Online Masters of Computer Science course. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale (pp. 1-4). View More...
An S., Bates R., Hammock J., Rugaber S., Goel A. (2018) VERA: Popularizing Science Through AI. In: Penstein Rosé C. et al. (eds) Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science, vol 10948. Springer, Cham View More...
Agarwal, A., Hartman, T., & Goel, A. (2018). From Middle School to Graduate School: Combining Conceptual and Simulation Modeling for Making Science Learning Easier. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 40). View More...
Goel, A.K. and Polepeddi, L. (2018) Jill Watson: A Virtual Teaching Assistant for Online Education. In Learning Engineering for Online Education (pp. 120-143). Routledge. View More...
Gregori, E. (2018). Developing a Document Trained Automated Advisor. Georgia Institute of Technology. http://hdl.handle.net/1853/62918 View More...
Goel, A. (2018). Accentuating the Magazine in AI Magazine. AI Magazine, 39(1), 4. https://doi.org/10.1609/aimag.v39i1.2790 View More...
Shegheva, S., & Goel, A. (2018). The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for Intelligence. In AAAI. View More...

2017

Gregori, E. (2017). Evaluation of modern tools for an omscs advisor chatbot. View More...
Parashar, P., Sheneman, B., & Goel, A. K. (2017, May). Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning. In International Conference on Autonomous Agents and Multiagent Systems (pp. 86-100). Springer, Cham. View More...
Ackerman, M., Goel, A., Johnson, C. G., Jordanous, A., León, C., y Pérez, R. P., ... & Ventura, D. (2017, May) Teaching Computational Creativity. In Proc. 8th Int. Conf. Computational Creativity. View More...
Goel, A. (2017 May). Computational Processes of Creativity [Conference Talk]. In Procs. Fifth Annual Conference on Advances in Cognitive Systems, RPI, Troy, New York. View More...
Goel, A. K., & Diaz-Agudo, B. (2017). What's Hot in Case-Based Reasoning. In AAAI (pp. 5067-5069).
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Eicher, B., Cunningham, K., Gonzales, M., Peterson, S., "Toward Mutual Theory of Mind as a Foundation for Co-Creation", Presented at the Eighth International Conference on Computational Creativity (ICCC). Atlanta, Georgia. June 2017.
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Fitzgerald, T., Goel, A. K., & Thomaz, A. (2017, June). Human-Robot Co-Creativity: Task Transfer on a Spectrum of Similarity. In ICCC (pp. 104-111). View More...
Summers, J. D., Eckert, C., & Goel, A. K. (2017). Function in engineering: benchmarking representations and models. AI EDAM, 31(4), 401-412. View More...
Goel, A. (2017). AI Education for the World. AI Magazine, 38(2), 3-4. View More...
Goel, A. (2017). Expository AI applications. AI Magazine, 38(1), 3. View More...
Diaz-Agudo, B., & Goel, A. K. (2017). Report on the 24th International Conference on Case-Based Reasoning Research and Development (ICCBR-2016). AI Magazine, 38(4), 89-91. View More...
Goel, A. K., & Rugaber, S. (2017). GAIA: A CAD-like environment for designing game-playing agents. IEEE Intelligent Systems, 32(3), 60-67. View More...
Goel, A. K., & Joyner, D. A. (2017). Using AI to teach AI: lessons from an online AI class. AI Magazine, 38(2), 48-59. View More...

2016

Rugaber, S., Bhati, S., Goswami, V., Spiliopoulou, E., Azad, S., Koushik, S., ... & Goel, A. (2016, September). Knowledge extraction and annotation for cross-domain textual case-based reasoning in biologically inspired design. In International Conference on Case-Based Reasoning (pp. 342-355). Cham: Springer International Publishing. View More...
Goel, A., Awasthy, P., Creeden, B., Kumble, M., Salunke, S., Sarathy, S., ... & Wiltgen, B. (2016). Using Watson for Supporting Design Creativity. In DS86: Proceedings of The Fourth International Conference on Design Creativity, Georgia Institute of Technology, Atlanta, GA, USA. View More...
Goel, A., Hancock, W., Frazer, K., & Tuchez, C. (2016). Does the Solution Based Design Process Result in More Multifunctional Designs?. In DS86: Proceedings of The Fourth International Conference on Design Creativity, Georgia Institute of Technology, Atlanta, GA, USA. View More...
McGreggor, K., & Goel, A. (2016, August). Bistable Perception and Fractal Reasoning. In International Conference on Theory and Application of Diagrams (pp. 226-231). Springer, Cham. View More...
Goel, A., Anderson, T., Belknap, J., Creeden, B., Hancock, W., Kumble, M., ... & Wiltgen, B. (2016). Using Watson for constructing cognitive assistants. Adv. Cognit. Syst, 4, 1-16. View More...
Goel, A. K., Tuchez, C., Hancock, W., & Frazer, K. (2017). Is Biologically Inspired Design Domain Independent?. In Design Computing and Cognition'16 (pp. 157-171). Springer, Cham. View More...
Fitzgerald, T., Bullard, K., Thomaz, A., & Goel, A. (2016). Situated mapping for transfer learning. In Fourth annual conference on advances in cognitive systems. View More...
Joyner, D. A., Goel, A. K., & Isbell, C. (2016, April). The Unexpected Pedagogical Benefits of Making Higher Education Accessible. In Proceedings of the Third (2016) ACM Conference on Learning@ Scale (pp. 117-120). ACM. View More...
Joyner, D. A., Ashby, W., Irish, L., Lam, Y., Langston, J., Lupiani, I., ... & Bruckman, A. (2016, April). Graders as Meta-Reviewers: Simultaneously Scaling and Improving Expert Evaluation for Large Online Classrooms. In Proceedings of the Third (2016) ACM Conference on Learning@ Scale (pp. 399-408). ACM. View More...
Ou, C., Goel, A. K., Joyner, D. A., & Haynes, D. F. (2016, April). Designing Videos with Pedagogical Strategies: Online Students' Perceptions of Their Effectiveness. In Proceedings of the Third (2016) ACM Conference on Learning@ Scale (pp. 141-144). ACM. View More...
Goel, A. K., & Joyner, D. A. (2016, February). Design of an Online Course on Knowledge-Based AI. In AAAI (pp. 4089-4094). View More...
Wollowski, M., Selkowitz, R., Brown, L. E., Goel, A. K., Luger, G., Marshall, J., ... & Norvig, P. (2016, February). A Survey of Current Practice and Teaching of AI. In AAAI (pp. 4119-4125). View More...
Fitzgerald, T., Thomaz, A., & Goel, A. K. (2016, January). Abstraction for Analogical Reasoning in Robotic Agents. In ICCBR Workshops (pp. 61-66). View More...
Wiltgen, B., & Goel, A. (2016). Functional model simulation for evaluating design concepts. Advances in Cognitive Systems, 4, 151-168. View More...
Kunda, M., Soulières, I., Rozga, A., & Goel, A. K. (2016). Error patterns on the Raven's Standard Progressive Matrices Test. Intelligence, 59, 181-198. View More...
Hoeller, N., Farnsworth, M., Jacobs, S., Chirazi, J., Mead, T., Goel, A., & Salustri, F. (2016). A Systems View of Bio-inspiration: Bridging the Gaps. INSIGHT, 19(1), 36-40. View More...
Goel, A. K. (2016). Rethinking AI Magazine. AI Magazine, 37(4), 3-4. View More...

2015

Goel, A.K., Creeden, B., Kumble, M., Salunke, S., Shetty, A., & Wiltgen, B. (2015, September). Using watson for enhancing human-computer co-creativity. In 2015 AAAI Fall Symposium Series. View More...
Joyner, D.A. & Goel, A.K. (2015).Organizing Metacognitive Tutoring Around Functional Roles of Teachers. View More...
Goel, A. K. (2015, June). Is Biologically Inspired Invention Different?. In ICCC (pp. 47-54). View More...
Goel, A. K., & Joyner, D. A. (2015). Impact of a creativity support tool on student learning about scientific discovery processes. In Proceedings of the sixth international conference on computational creativity june (Vol. 284). View More...
Joyner, D. A., Bedwell, D., Graham, C., Lemmon, W., Martinez, O., & Goel, A. K. (2015, June). Using Human Computation to Acquire Novel Methods for Addressing Visual Analogy Problems on Intelligence Tests. In ICCC (pp. 23-30). View More...
Shu, L. H., & Goel, A. K. (2014). AIEDAM Special Issue, May 2015, Vol. 29, No. 2: Analogical Thinking. AI EDAM, 28(1), 111-111. View More...
Rugaber, S., Goel, A. K., & Martie, L. (2015, May). Meta-Reasoning Over Goals: A Summary of the GAIA Project. In Goal Reasoning: Papers from the ACS Workshop (p. 156). View More...
Goel, A. K. (2015, April). Biologically Inspired Design: A New Paradigm for AI Research on Computational Sustainability?. In AAAI Workshop: Computational Sustainability. View More...
Joyner, D. A., & Goel, A. K. (2015, March). Improving inquiry-driven modeling in science education through interaction with intelligent tutoring agents. In Proceedings of the 20th international conference on intelligent user interfaces (pp. 5-16). View More...
Fitzgerald, T. (2015, January). Toward a Case-Based Framework for Imitation Learning in Robotic Agents. In ICCBR (Workshops) (pp. 265-267). View More...
Fitzgerald, T., & Goel, A. K. (2015, January). A Case-Based Framework for Task Demonstration Storage and Adaptation. In ICCBR (Workshops) (pp. 53-57). View More...
Fitzgerald, T., Goel, A., & Thomaz, A. (2015). A similarity-based approach to skill transfer. In Women in Robotics Workshop at Robotics: Science and Systems Conference (RSS). View More...
Fitzgerald, T., & GATECH, C. (2015). Case-Based Skill Transfer in Robotic Agents. View More...
Fitzgerald, T., & Thomaz, A. L. (2015, March). Skill demonstration transfer for learning from demonstration. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts (pp. 187-188). View More...
Goel, A. K., & Rugaber, S. (2015). Interactive meta-reasoning: Towards a CAD-like environment for designing game-playing agents. In Computational Creativity Research: Towards Creative Machines (pp. 347-370). Atlantis Press, Paris. View More...
Goel, A. K., Zhang, G., Wiltgen, B., Zhang, Y., Vattam, S., & Yen, J. (2015). On the benefits of digital libraries of case studies of analogical design: Documentation, access, analysis, and learning. AI EDAM, 29(2), 215-227. View More...
Weiler, C., & Goel, A. K. (2015). From mitochondria to water harvesting: a case study in biologically inspired design. IEEE Potentials, 34(2), 38-43. View More...
Goel, A. K., & Shu, L. H. (2015). Analogical thinking: An introduction in the context of design. AI EDAM, 29(2), 133-134. View More...
Goel, A. (2015). ’Geometry, Drawings, Visual Thinking and Imagery: Towards a Visual Turing Test of Machine Intelligence’. In AAAI Workshop on Beyond the Turing Test. View More...
Fitzgerald, T., McGreggor, K., Akgun, B., Thomaz, A., & Goel, A. (2015, September). Visual case retrieval for interpreting skill demonstrations. In International Conference on Case-Based Reasoning (pp. 119-133). Cham: Springer International Publishing. View More...
Spiliopoulou, E., Rugaber, S., Goel, A., Chen, L., Wiltgen, B., & Jagannathan, A. K. (2015, March). Intelligent search for biologically inspired design. In Companion Proceedings of the 20th International Conference on Intelligent User Interfaces (pp. 77-80). View More...

2014

Goel, A. K., McAdams, D. A., & Stone, R. B. (2014). Special Issue on Biologically Inspired Design. Journal of Mechanical Design, 136(11), 110301. View More...
Goel, A. K., Bhatta, S. R., & Stroulia, E. (2014). Kritik: An early case-based design system. In Issues and Applications of Case-Based Reasoning to Design (pp. 87-132). Psychology Press. View More...
Goel, A. K., & Wiltgen, B. (2014, September). On the role of analogy in resolving cognitive dissonance in collaborative interdisciplinary design. In International Conference on Case-Based Reasoning (pp. 185-199). Springer, Cham. View More...
Helms, M., & Goel, A. K. (2014, August). The four-box method of problem specification and analogy evaluation in biologically inspired design. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 46407, p. V007T07A005). American Society of Mechanical Engineers. View More...
Goel, A. K., McAdams, D. A., & Stone, R. B. (2014). Special Issue on Biologically Inspired Design. Journal of Mechanical Design, 136(11), 110301.
View More...
Goel, A., Zhang, G., Wiltgen, B., Zhang, Y., Vattam, S., & Yen, J. (2015). The design study library: Compiling, analyzing and using biologically inspired design case studies. In Design Computing and Cognition'14 (pp. 625-643). Cham: Springer International Publishing. View More...
Joyner, D. A., & Goel, A. K. (2014, June). Attitudinal Gains from Engagement with Metacognitive Tutors in an Exploratory Learning Environment. In International Conference on Intelligent Tutoring Systems (pp. 627-628). Cham: Springer International Publishing. View More...
Vattam, S. S., & Goel, A. K. (2014). An Information-Processing Theory of Interactive Analogical Retrieval. In Computational Approaches to Analogical Reasoning: Current Trends (pp. 323-349). Berlin, Heidelberg: Springer Berlin Heidelberg. View More...
Goel, A. K., & Helms, M. E. (2014). Theories, Models, Programs, and Tools of Design: Views from Artificial Intelligence, Cognitive Science, and Human-Centered Computing. In An Anthology of Theories and Models of Design (pp. 417-432). Springer, London. View More...
Fitzgerald, T., Goel, A. K., & Thomaz, A. L. (2014, November). Representing Skill Demonstrations for Adaptation and Transfer. In AAAI Fall Symposia. View More...
Fitzgerald, T., & Goel, A. (2014). A case-based approach to imitation learning in robotic agents. In Intl. Conf. on Case-Based Reasoning Workshop on Case-Based Agents. View More...
Fitzgerald, T., McGreggor, K., Akgun, B., Goel, A. K., & Thomaz, A. L. (2014). A visual analogy approach to source case retrieval in robot learning from observation. In Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence. View More...
Jones, J. K., & Goel, A. K. (2014). Meta-reasoning for predictive error correction: Additional results from abstraction networks with empirical verification procedures. Biologically Inspired Cognitive Architectures, 7, 53-75. View More...
McGreggor, K., Kunda, M., & Goel, A. (2014). Fractals and ravens. Artificial Intelligence, 215, 1-23. View More...
Helms, M., & Goel, A. K. (2014). The Four-Box method: problem formulation and analogy evaluation in biologically inspired design. Journal of Mechanical Design, 136(11), 111106. View More...
Goel, A. K., McAdams, D. A., & Stone, R. B. (ed.). (2014). Biologically Inspired Design: Computational Methods and Tools. Springer-Verlag, London. View More...
Yen, J., Helms, M., Goel, A., Tovey, C., & Weissburg, M. (2013). Adaptive evolution of teaching practices in biologically inspired design. In Biologically inspired design: computational methods and tools (pp. 153-199). London: Springer London. View More...
Stone, R. B., Goel, A. K., & McAdams, D. A. (2014). Charting a Course for Computer-Aided Bio-Inspired Design. Biologically Inspired Design: Computational Methods and Tools, A. K. Goel, D. McAdams & R. Stone (editors), Springer. pp. 1-16. View More...
Goel, A. K., Vattam, S., Wiltgen, B., & Helms, M. (2014). Information Processing Theories of Biologically Inspired Design. Biologically Inspired Design: Computational Methods and Tools, A. K. Goel, D. McAdams & R. Stone (editors), Springer. pp. 127-152. View More...
Joyner, D. A., Goel, A. K., & Papin, N. M. (2014, February). MILA--S: generation of agent-based simulations from conceptual models of complex systems. In Proceedings of the 19th international conference on intelligent user interfaces (pp. 289-298). View More...
McGreggor, K., Kunda, M., & Goel, A. K. (2014). Fractals and Ravens. AI Journal. In Press View More...
McGreggor, K., & Goel, A. K. (2014). A Computational Strategy for Fractal Analogies in Visual Perception. In Computational Approaches to Analogical Reasoning: Current Trends (pp. 289-321). Berlin, Heidelberg: Springer Berlin Heidelberg. View More...
Rugaber, S., Wiltgen, B., Jagannathan, A., & Goel, A. K. (2014). Position Paper: Benchmark Criteria for Function Modeling. Workshop on Benchmarking Functional Models at the Sixth International Conference on Design Computing and Cognition (DCC14). London, UK. View More...
McGreggor, K., & Goel, A. (2014, June). Confident reasoning on Raven's progressive matrices tests. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 28, No. 1). View More...

2013

McGreggor, K., & Goel, A. (2013). Fractal representations and core geometry. In Proceedings of the Second Annual Conference on Advances in Cognitive Systems ACS (Vol. 3, p. 19). View More...
Summers, J. D., Eckert, C., & Goel, A. (2013). Function in engineering: benchmarking representations and models. In DS 75-2: Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol. 2: Design Theory and Research Methodology, Seoul, Korea, 19-22.08. 2013 (pp. 223-232). View More...
Vattam, S., & Goel, A. (2013). Seeking bioinspiration online: a descriptive account. In DS 75-7: Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol. 7: Human Behaviour in Design, Seoul, Korea, 19-22.08. 2013. View More...
Goel, A. K. (2013). A 30-year case study and 15 principles: implications of an artificial intelligence methodology for functional modeling. AI EDAM, 27(3), 203-215. View More...
Vattam, S. S., & Goel, A. K. (2013, July). Biological solutions for engineering problems: a study in cross-domain textual case-based reasoning. In International Conference on Case-Based Reasoning (pp. 343-357). Springer, Berlin, Heidelberg. View More...
Connelly, D., & Goel, A. (2013, July). Paradigms of AI Programming in Python. In Proc. Fourth Symposium on Educational Advances in AI (EAAI-2013), Bellevue, Washington. View More...
Vattam, S.S. & Goel, A.K. (2013).An Information Foraging Model of Interactive Analogical Retrieval. View More...
Kunda, M., McGreggor, K., & Goel, A. K. (2013). A computational model for solving problems from the Raven’s Progressive Matrices intelligence test using iconic visual representations. Cognitive Systems Research, 22, 47-66. View More...
Goel, A. K., Rugaber, S., Joyner, D. A., Vattam, S. S., Hmelo-Silver, C. E., Jordan, R., ... & Eberbach, C. (2013). Learning functional models of aquaria: The ACT project on ecosystem learning in middle school science. In International handbook of metacognition and learning technologies (pp. 545-559). New York, NY: Springer New York. View More...
Rugaber, S., Goel, A. K., & Martie, L. (2013). GAIA: A CAD environment for model-Based Adaptation of game-playing Software Agents. Procedia Computer Science, 16, 29-38. View More...
Sinha, S., Gray, S., Hmelo-Silver, C. E., Jordan, R., Eberbach, C., Goel, A., & Rugaber, S. (2013). Conceptual Representations for Transfer: A Case Study Tracing Back and Looking Forward. Frontline Learning Research, 1(1), 3-23. View More...
Hoeller, N., Goel, A., Freixas, C., Anway, R., Upward, A., Salustri, F., & Miteva, K. (2013). Developing a common ground for learning from nature. Zygote Quarterly, 7, 133-45. View More...
Kunda, M., Soulières, I., Rozga, A., & Goel, A. (2013). Methods for classifying errors on the Raven’s standard progressive matrices test. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 35, No. 35). View More...
Joyner, D. A., Goel, A. K., & Majerich, D. M. (2013). Metacognitive Tutoring for Scientific Modeling. In AIED Workshops. View More...
Goel, A., Kunda, M., Joyner, D., & Vattam, S. (2013, July). Learning about representational modality: Design and programming projects for knowledge-based AI. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 27, No. 3, pp. 1586-1591). View More...
Joyner, D. A., Majerich, D. M., & Goel, A. K. (2013). Facilitating authentic reasoning about complex systems in middle school science education. Procedia Computer Science, 16, 1043-1052. View More...
McGreggor, B. K. (2013). Fractal Reasoning (Doctoral dissertation, Georgia Institute of Technology). View More...
Wiltgen, B. (2013). Towards an Artificial Teammate for Supporting Reasoning with Analogies in Biologically Inspired Design. In Doctoral Consortium of the 21st International Conference on Case-Based Reasoning. View More...
Wiltgen, B., & Goel, A. K. (2013). Towards an Artificial Teammate: Understanding Team Interactions in Biologically Inspired Design. In Georgia Tech Research & Innovation Conference (GTRIC). View More...
Wiltgen, B., & Goel, A. K. (2013). Social Analogy Evaluation. In Atlanta Workshop on Computational Social Science. View More...
Goel, A. K., & Wiltgen, B. (2013). Exploring the Role of Analogy in Resolving Cognitive Dissonance in Collaborative Interdisciplinary Design Teams. In Atlanta Workshop on Computational Social Science. View More...
Helms, M., & Goel, A. (2013). Grounded knowledge representations for biologically inspired design. In DS 75-6: Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol. 6: Design Information and Knowledge, Seoul, Korea, 19-22.08. 2013. View More...
Goel, A. K. (2013). Biologically inspired design: A new program for computational sustainability. IEEE Intelligent Systems 28, no. 3: 0080-84. View More...

2012

McGreggor, K., & Goel, A. (2012, December). Fractal analogies for general intelligence. In International Conference on Artificial General Intelligence (pp. 177-188). Berlin, Heidelberg: Springer Berlin Heidelberg. View More...
Jones, J. K., & Goel, A. K. (2012). Perceptually grounded self-diagnosis and self-repair of domain knowledge. Knowledge-Based Systems, 27, 281-301. View More...
Goel, A. K. (2012). Analogical thinking, systems thinking, visual thinking and meta thinking: Four fundamental processes of design creativity. In Proc. Design Society's SIG Design Creativity Workshop. View More...
Goel, A. K., Vattam, S., Wiltgen, B., & Helms, M. (2012). Cognitive, collaborative, conceptual and creative—Four characteristics of the next generation of knowledge-based CAD systems: A study in biologically inspired design. Computer-Aided Design, 44(10), 879-900. View More...
Helms, M. E., & Goel, A. K. (2012). Analogical Problem Evolution In Biologically Inspired Design. View More...
Goel, A. K. (2012). New opportunities for AI EDAM: Ecological systems and biological designs. AI EDAM, 26(1), 13-13. View More...
Eberbach, C., Hmelo-Silver, C., Jordan, R., Sinha, S., & Goel, A. (2012). Multiple trajectories for understanding ecosystems. View More...
Kunda, M., McGreggor, K., & Goel, A. (2012). Reasoning on the Raven’s advanced progressive matrices test with iconic visual representations. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 34, No. 34). View More...

2011

Lee, C.S. , Kolodner, J. L. & Goel, A.K. ( 2011).Guest Editorial - Creative Design: Scaffolding Creative Reasoning and Meaningful Learning. View More...
Kunda, M., & Goel, A. K. (2011). Thinking in pictures as a cognitive account of autism. Journal of autism and developmental disorders, 41(9), 1157-1177. View More...
McGreggor, K., & Goel, A. (2011, November). Finding the odd one out: a fractal analogical approach. In Proceedings of the 8th ACM conference on Creativity and cognition (pp. 289-298). View More...
McGreggor, K., Kunda, M., & Goel, A. K. (2011, April). Fractal Analogies: Preliminary Results from the Raven's Test of Intelligence. In ICCC (pp. 69-71). View More...
Kunda, M., Soulières, I., Mottron, L., & Goel, A. K. (2011). Comparing patterns of errors on the Raven’s progressive matrices test: Strategy differences among typically developing individuals, individuals with autism, and computational models. In international meeting for autism research (IMFAR). View More...
Kunda, M., McGreggor, K., & Goel, A. (2011, August). Two visual strategies for solving the Raven’s progressive matrices intelligence test. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 25, No. 1, pp. 1555-1558). View More...
Goel, A. K., & Jones, J. (2011). 10 Metareasoning for Self-Adaptation in Intelligent Agents. Metareasoning: Thinking about thinking, 151. View More...
Lee, C. S., Kolodner, J. L., & Goel, A. K. (2011). Guest editorial-creative design: Scaffolding creative reasoning and meaningful learning. Journal of Educational Technology & Society, 14(1), 1-2. View More...
Hayes, C. C., Goel, A. K., Tumer, I. Y., Agogino, A. M., & Regli, W. C. (2011). Intelligent support for product design: Looking backward, looking forward. View More...
Goel AK, Davies J. Artificial Intelligence. In: Sternberg RJ, Kaufman SB, eds. The Cambridge Handbook of Intelligence. Cambridge Handbooks in Psychology. Cambridge University Press; 2011:468-482. View More...
Yen, J., Weissburg, M., Helms, M., & Goel, A. (2011). Biologically inspired design: a tool for interdisciplinary education. Biomimetics: nature-based innovation, 7. View More...
Wiltgen, B., Vattam, S., Helms, M., Goel, A. K., & Yen, J. (2011, July). Learning functional models of biological systems for biologically inspired design. In 2011 IEEE 11th International Conference on Advanced Learning Technologies (pp. 355-357). IEEE. View More...
Wiltgen, B., Goel, A. K., & Vattam, S. (2011, September). Representation, indexing, and retrieval of biological cases for biologically inspired design. In International Conference on Case-Based Reasoning (pp. 334-347). Berlin, Heidelberg: Springer Berlin Heidelberg. View More...
Vattam, S. S., & Goel, A. K. (2011, January). Foraging for inspiration: understanding and supporting the online information seeking practices of biologically inspired designers. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 54860, pp. 177-186). View More...
Vattam, S., & Goel, A. K. (2011, July). Model-based tagging: Promoting access to online texts on complex systems for interdisciplinary learning. In 2011 IEEE 11th International Conference on Advanced Learning Technologies (pp. 375-377). IEEE. View More...
Vattam, S. S., & Goel, A. K. (2011, June). Semantically annotating research articles for interdisciplinary design. In Proceedings of the sixth international conference on Knowledge capture (pp. 165-166). View More...
Helms, M., Vattam, S., Goel, A. K., & Yen, J. (2011, July). Enhanced understand of biological systems using structure-behavior-function models. In 2011 IEEE 11th International Conference on Advanced Learning Technologies (pp. 239-243). IEEE. View More...
Goel, A. K., Vattam, S., Helms, M., & Wiltgen, B. (2011, November). An information-processing account of creative analogies in biologically inspired design. In Proceedings of the 8th ACM conference on Creativity and Cognition (pp. 71-80). View More...
Vattam, S., Weissburg, M., Wiltgen, B., & Yen, J. (2011). Design Patterns and Cross-Domain Analogies in Biologically Inspired Sustainable Design. View More...
Vattam, S. S., Goel, A. K., Rugaber, S., Hmelo-Silver, C. E., Jordan, R., Gray, S., & Sinha, S. (2011). Understanding complex natural systems by articulating structure-behavior-function models. Journal of Educational Technology & Society, 14(1), 66-81. View More...
Vattam, S. S., Goel, A. K., & Rugaber, S. (2011, July). Behavior patterns: Bridging conceptual models and agent-based simulations in interactive learning environments. In 2011 IEEE 11th International Conference on Advanced Learning Technologies (pp. 139-141). IEEE. View More...
Sinha, S., Hmelo-Silver, C., Eberbach, C., Honwad, S., Jordan, R., Rugaber, S., & Goel, A. K. (2011). Understanding the Why and Uncovering the How; Transfer of Conceptual Representations. 2011 Annual Meeting of AERA. View More...
Joyner, D. A., Goel, A. K., Rugaber, S., Hmelo-Silver, C., & Jordan, R. (2011, July). Evolution of an integrated technology for supporting learning about complex systems. In 2011 IEEE 11th International Conference on Advanced Learning Technologies (pp. 257-259). IEEE. View More...
Honwad, S., Hmelo-Silver, C., Jordan, R., Sinha, S., Eberbach, C., Goel, A., & Rugaber, S. (2011). Learning about Ecosystems in a Computer Supported Collaborative Learning Environment. View More...
Hmelo-Silver, C. E., Jordan, R., Honwad, S., Eberbach, C., Sinha, S., Goel, A., ... & Joyner, D. (2011). Foregrounding behaviors and functions to promote ecosystem understanding. In Proceedings of Hawaii International Conference on Education (pp. 2005-2013). View More...
McGreggor, K., & Goel, A. K. (2011). Fractally Finding the Odd One Out: An Analogical Strategy For Noticing Novelty. In AAAI Fall Symposium: Advances in Cognitive Systems (pp. 224-231). View More...
Wiltgen, B., & Goel, A. (2011). Case-based reasoning all over the place: the multiple roles of CBR in biologically inspired design. In Procs. Workshop of Human-Centered and Cognitive Approaches to Case-Based Reasoning at the 19th International Conference on Case Based Reasoning, Greenwich, London, UK. View More...

2010

Goel, A. K., Sinharoy, A., Adams, S., & Dokania, A. (2010). Interactive Story Authoring for Knowledge‐Based Support for Investigative Analysis: A Second STAB at Making Sense of VAST Data. View More...
Honwad, S., Hmelo-Silver, C., Jordan, R., Eberbach, C., Gray, S., Sinha, S., ... & Joyner, D. (2010). Connecting the Visible to the Invisible: Helping Middle School Students Understand Complex Ecosystem Processes. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 32, No. 32). View More...
Sinha, S., Gray, S., Hmelo-Silver, C., Jordan, R., Honwad, S., Eberbach, C., ... & Goel, A. (2010). Appropriating conceptual representations: A case of transfer in a middle school science teacher. pp. 834-841. View More...
Goel, A., Vattam, S., Rugaber, S., Joyner, D., Hmelo-Silver, C., Jordan, R., ... & Sinha, S. (2010). Learning functional and causal abstractions of classroom aquaria. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 32, No. 32). View More...
Jones, J., & Goel, A. K. (2010, January). Effects of Faulty Knowledge Engineering on Structured Classification Learning. In Abstraction, Reformulation, and Approximation. View More...
McGreggor, K., Kunda, M., & Goel, A. K. (2010, January). A Fractal Analogy Approach to the Raven's Test of Intelligence. In Visual Representations and Reasoning. View More...
McGreggor, K., Kunda, M., & Goel, A. K. (2010, January). A Fractal Approach Towards Visual Analogy. In ICCC (pp. 65-74). View More...
Kunda, M., McGreggor, K., & Goel, A. (2010). Taking a look (literally!) at the Raven’s intelligence test: Two visual solution strategies. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 32, No. 32). View More...
Kunda, M., McGreggor, K., & Goel, A. (2010). Can the Raven’s Progressive Matrices intelligence test be solved by thinking in pictures. Oral presentation given at IMFAR-2010, Philadelphia, PA. View More...
Yen, J., Helms, M., Vattam, S., & Goel, A. (2010). Evaluating biological systems for their potential in engineering design. Adv Nat Sci, 3(2), 27-40.
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Vattam, S. S., Helms, M. E., & Goel, A. K. (2010). A content account of creative analogies in biologically inspired design. Ai Edam, 24(4), 467-481. View More...
Vattam, S., Wiltgen, B., Helms, M., Goel, A. K., & Yen, J. (2010). DANE: fostering creativity in and through biologically inspired design. In Design creativity 2010 (pp. 115-122). London: Springer London. View More...
Vattam, S. S., Helms, M., & Goel, A. K. (2010, January). Biologically inspired design: A macrocognitive account. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 44137, pp. 129-138). View More...
Helms, M., Vattam, S., & Goel, A. (2010, January). The effect of functional modeling on understanding complex biological systems. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 44137, pp. 107-115). View More...
Goel, A. K., Jamnik, M., & Narayanan, N. H. (Eds.). (2010). Diagrammatic Representation and Inference: 6th International Conference, Diagrams 2010, Portland, OR, USA, August 9-11, 2010, Proceedings (Vol. 6170). Springer. View More...
Goel, A. K., & de Silva Garza, A. G. (2010). Special issue on artificial intelligence in design. ASME Journal of Computing and Information Science in Engineering. 10(3), 030301. View More...
Goel, A. K., & Do, E. Y. L. (2010). Design computing and cognition: An introduction. AI EDAM, 24(1), 1-2. View More...
Goel, A. K. (2010). Reflection in Action: Meta-Reasoning for Goal-Directed Autonomy. View More...
Wiltgen, B., Beer, J. M., McGreggor, K., Jiang, K., & Thomaz, A. (2010, September). The interplay of context and emotion for non-anthropomorphic robots. In 19th International Symposium in Robot and Human Interactive Communication (pp. 658-663). IEEE. View More...

2009

Goel, A. K., Adams, S., Cutshaw, N., & Sugandh, N. (2009). Playing Detective: Using AI for Sensemaking in Investigative Analysis. Georgia Institute of Technology. View More...
Kunda, M., & Goel, A. (2009). Evidence for Thinking in Pictures as a cognitive account of autism. In Poster presentation, International Meeting for Autism Research (IMFAR), Chicago, IL. View More...
Helms, M., Vattam, S. S., & Goel, A. K. (2009). Biologically inspired design: process and products. Design studies, 30(5), 606-622. View More...
Davies, J., Goel, A. K., & Nersessian, N. J. (2009). A computational model of visual analogies in design. Cognitive Systems Research, 10(3), 204-215.
View More...
Jones, J., Parnin, C., Sinharoy, A., Rugaber, S., & Goel, A. K. (2009, October). Adapting Game-Playing Agents to Game Requirements. In AIIDE. View More...
Kunda, M., McGreggor, K., & Goel, A. K. (2009, October). Addressing the Raven's Progressive Matrices Test of" General" Intelligence. In AAAI Fall Symposium: Multi-Representational Architectures for Human-Level Intelligence. View More...
Vattam, S. S., Helms, M. E., & Goel, A. K. (2009, October). Nature of creative analogies in biologically inspired innovative design. In Proceedings of the seventh ACM conference on Creativity and cognition (pp. 255-264). ACM. View More...
Jones, J., Parnin, C., Sinharoy, A., Rugaber, S., & Goel, A. K. (2009, September). Teleological software adaptation. In Self-Adaptive and Self-Organizing Systems, 2009. SASO'09. Third IEEE International Conference on (pp. 198-205). IEEE.
View More...
Jones, J., & Goel, A. K. (2010, September). Metareasoning-based learning for classification hierarchies. In Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2010 Fourth IEEE International Conference on (pp. 293-299). IEEE. View More...
Goel, A. K., Morse, E., Raja, A., Scholtz, J., & Stasko, J. (2009, July). Introspective self-explanations for report generation in intelligence analysis. In IJCAI-09 Workshop on Explanation-Aware Computing. View More...
Vattam, S., Goel, A., Rugaber, S., Hmelo-Silver, C. & Jordan, R. (2009, July). From Conceptual Representations to Simulations: Why and How. In Proc. Fourteenth International Conference on AI in Education, Brighton, UK. 593-595. View More...
Goel, A. K., Vattam, S. S., & Helms, M. E. (2009, July). Biologically Inspired Design: Human Reasoning Using Nature’s Experiences. In IJCAI Workshop on Grand Challenges in Reasoning From Experience. View More...
Goel, A. K., Cheng, P. C., Clement, J. J., Dogan, F., Hegarty, M., & Nersessian, N. J. (2009). Visual Reasoning in Modeling and Design. In Proc, Thirty First Annual Meeting of the Cognitive Science Society, Amsterdam.
View More...
Jones, J. & Goel, A. (May 2009). Metareasoning for Adaptation of Classification Knowledge. In Proc. Eighth International Conference on Autonomous Agents and Multiagent Systems, Budapest, Hungary. 1145-1146. View More...
Jordan, R., Hmelo-Silver, C., Gray, S., Goel, A., & Rugaber, S. (2009, April). Modeling practices as a function of task structure. In Annual Meeting of the American Educational Research Association. View More...
Goel, A. K., Rugaber, S., & Vattam, S. (2009). Structure, behavior, and function of complex systems: The structure, behavior, and function modeling language. Ai Edam, 23(1), 23-35. View More...

2008

Davies, J., Goel, A. K., & Yaner, P. W. (2008). Proteus: Visuospatial analogy in problem-solving. Knowledge-Based Systems, 21(7), 636-654. View More...
Davies, J. & Goel, A. (2008). Visual Re-Representation in Creative Analogies. Open AI Journal, 2:11-20. View More...
Ulam, P., Jones, J., & Goel, A. (2008, October). Using Model-Based Reflection to Guide Reinforcement Learning. In Proc. Fourth AAAI Conference on AI in Interactive Entertainment (AIIDE-08,). View More...
Helms, M. E., Vattam, S. S., Goel, A. K., Yen, J., & Weissburg, M. (2008). Problem-driven and solution-based design: twin processes of biologically inspired design. View More...
Kunda, M., & Goel, A. (2008, September). What can pictorial representations reveal about the cognitive characteristics of autism?. In International Conference on Theory and Application of Diagrams (pp. 103-117). Springer, Berlin, Heidelberg. View More...
Kunda, M., & Goel, A. K. (2008, August). How thinking in pictures can explain many characteristic behaviors of autism. In Development and Learning, 2008. ICDL 2008. 7th IEEE International Conference on (pp. 304-309). IEEE. View More...
Jones, J., & Goel, A. K. (2008). Retrospective selfadaptation of an agents domain knowledge: Perceptuallygrounded semantics for structural credit assignment. In In Proceedings of the AAAI-08 Workshop on Metareasoning. View More...
Hmelo-Silver, C. E., Jordan, R., Liu, L., Gray, S., Demeter, M., Rugaber, S., ... & Goel, A. (2008). Focusing on Function: Thinking below the Surface of Complex Natural Systems. Science Scope, 31(9), 27-35. View More...
Venkataratnam, A .& Goel, A.K. (2008). Design and simulation of logic circuits with hybrid architectures of
single-electron transistors and conventional MOS devices at room temperature. View More...
Vattam, S., Helms, M. E., Goel, A., Yen, J., & Weissburg, M. J. (2008, June). Learning about and through biologically inspired design. Georgia Institute of Technology. View More...
Vattam, S. S., Helms, M. E., & Goel, A. K. (2008). Compound analogical design: interaction between problem decomposition and analogical transfer in biologically inspired design. In Design Computing and Cognition'08 (pp. 377-396). Springer, Dordrecht. View More...
Murdock, J. W., & Goel, A. K. (2008). Meta-case-based reasoning: self-improvement through self-understanding. Journal of Experimental & Theoretical Artificial Intelligence, 20(1), 1-36.
View More...
Helms, M. E., & Goel, A. K. (2008). From Diagrams to Design: Overcoming Knowledge Acquisition Barriers for Case Based Design. In Design Computing and Cognition'08 (pp. 341-360). Springer, Dordrecht. View More...
Gero, J. & Goel, A. (editors). (2008, June). Proceedings of the Third International Conference on Design Computing and Cognition, Atlanta. Berling: Springer. View More...
Goel, A., Jones, J., Parnin, C., Rugaber, S., & Sinharoy, A. (2008, May). Teleological reasoning in software adaptation: A case study in game-playing agents. In Proc. of the Third International Conference on Design Science Research in Information Systems and Technology (DESRIST-08) (pp. 365-379). View More...
Yaner, P. W., & Goel, A. K. (2008). Analogical recognition of shape and structure in design drawings. AI EDAM, 22(2), 117-128. View More...
Goel, A. K., Davis, R., & Gero, J. S. (2008). Multimodal design: An overview. AI EDAM, 22(2), 83-84. View More...
Adams, S., Goel, A. K., & Sugandh, N. (2008, April). Using AI for Sensemaking in Investigative Analysis. In Proc. SIAM Datamining Workshop on Link Analysis, Counter Terrorism and Security, Atlanta. View More...
Kunda, M., & Goel, A. K. (2008, January). Thinking in pictures: A fresh look at cognition in autism. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 30, No. 30). View More...
Helms, M. E., Vattam, S., & Goel, A. (2008, January). Compound analogical design, or how to make a surfboard disappear. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 30, No. 30). View More...

Older Publications

2007

Adams, S., & Goel, A. K. (2007, May). Making sense of VAST data. In 2007 IEEE Intelligence and Security Informatics (pp. 270-273). IEEE. [PDF]

Adams, S., & Goel, A. (2007, July). A STAB at making sense of VAST data. In Proc. IEEE Conference on Intelligence and Security Informatics. [PDF]

Davies, J. (2008). Transfer of problem-solving strategy using the cognitive visual language. [PDF]

Jones, J., & Goel, A. K. (2007). Structural Credit Assignment in Hierarchical Classification. In IC-AI (pp. 378-384). [PDF]

Jones, J., Goel, A., & Rugaber, S. (2007). Teleological Modeling and Reasoning for Automated Software Adaptations. [PDF]

Jones, J., Goel, A., & Rugaber, S. (2007, March). Automating software evolution. In Proceedings of the 2007 Symposium on Science of Design (pp. 14-16). [PDF]

Raja, A., & Goel, A. (2007, May). Introspective self-explanation in analytical agents. In Proceedings of AAMAS 2007 Workshop on Metareasoning in Agent-based Systems (pp. 76-91). [PDF]

Swaroop, V., Michael, H., & Ashok, G. (2007). Biologically-Inspired Innovation in Engineering Design; A Cognitive Study. Graphics, Visualization and Usability Center, Georgia Institute of Technology. [PDF]

Yaner, P. W. (2007). From shape to function: acquisition of teleological models from design drawings by compositional analogy. Georgia Institute of Technology. [PDF]

Yaner, P. W., & Goel, A. K. (2007). Visual analogies at multiple levels of abstraction. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 29, No. 29). [PDF]

Yaner, P. W., & Goel, A. K. (2007, January). Understanding Drawings by Compositional Analogy. In IJCAI (pp. 1131-1137). [PDF]

2006

Von Hessling, A. & Goel, A. (2006). Enabling MDP Solution Transfer by Abstraction. In ICML-2006 Workshop on Structural Knowledge Transfer for Machine Learning.

Yaner, P. W., & Goel, A. K. (2006). Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems. Applied Intelligence, 25(1), 91-105. [PDF]

Yaner, P. W., & Goel, A. K. (2006). From form to function: from SBF to DSSBF. In Design computing and cognition’06 (pp. 423-441). Dordrecht: Springer Netherlands. [PDF]

Yaner, P. W., & Goel, A. K. (2006, June). From diagrams to models by analogical transfer. In International Conference on Theory and Application of Diagrams (pp. 55-69). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

Venkataratnam, A., & Goel, A. K. (2006). Design and simulation of logic gates using single electron transistors at room temperature. International Journal of Computational Science and Engineering, 2(3-4), 179-188. [PDF]

Goel, A. K., & Tan, T. H. (2006). High-temperature and self-heating effects in fully depleted SOI MOSFETs. Microelectronics journal, 37(9), 963-975. [PDF]

Yaner, P. W., & Goel, A. K. (2006). Interpretation of Design Drawings by Analogy. In AAAI. [PDF]

Venkataratnam, A., & Goel, A. K. (2006, September). Design and simulation of logic circuits with hybrid architectures of single electron transistors and conventional devices. In 2006 1st International Conference on Nano-Networks and Workshops (pp. 1-5). IEEE. [PDF]

2005

Davies, J., Goel, A. K., & Nersessian, N. J. (2005, August). Transfer in visual case-based problem solving. In International Conference on Case-based Reasoning (pp. 163-176). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

Davies, J., Goel, A. K., & Nersessian, N. J. (2005, July). A cognitive model of visual analogical problem-solving transfer. In INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (Vol. 19, p. 1556). LAWRENCE ERLBAUM ASSOCIATES LTD. [PDF]

Davies, J., Nersessian, N. J., & Goel, A. K. (2005). Visual models in analogical problem solving. Foundations of Science, 10(1), 133-152. [PDF]

Goel, A. K., & Craw, S. (2005). Design, innovation and case-based reasoning. The Knowledge Engineering Review, 20(3), 271-276. [PDF]

Von Hessling, A., & Goel, A. K. (2005). Abstracting Reusable Cases from Reinforcement Learning. In ICCBR Workshops (pp. 227-236). [PDF]

Jones, J., & Goel, A. (2005). Knowledge organization and structural credit assignment. Reasoning, Representation, and Learning in Computer Games, 37. [PDF]

Ulam, P., Goel, A., Jones, J., & Murdock, W. (2005). Using model-based reflection to guide reinforcement learning. Reasoning, Representation, and Learning in Computer Games, 107. [PDF]

2004

Davies, J. (2004). Constructive adaptive visual analogy. Georgia Institute of Technology. [PDF]

Goel, A. K., & Bhatta, S. R. (2004). Use of design patterns in analogy-based design. Advanced Engineering Informatics, 18(2), 85-94. [PDF]

Jones, J., & Goel, A. (2004). Hierarchical Judgement Composition: Revisiting the structural credit assignment problem. In Proceedings of the AAAI Workshop on Challenges in Game AI, San Jose, CA, USA (pp. 67-71). [PDF]

Ulam, P., Goel, A., & Jones, J. (2004). Reflection in action: Model-based self-adaptation in game playing agents. In challenges in game artificial intelligence: papers from the AAAI workshop. [PDF]

Yaner, P. W., & Goel, A. K. (2004). Visual analogy: reexamining analogy as a constraint satisfaction problem. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 26, No. 26). [PDF]

2003

Davies, J., Goel, A. K., & Nersessian, N. J. (2003). Visual re-representation in creative analogies. In The Third Workshop on Creative Systems. International Joint Conference on Artificial Intelligence (pp. 1-12). [PDF]

Murdock, J. W., & Goel, A. K. (2003, June). Localizing Planning with Functional Process Models. In ICAPS (pp. 73-81). [PDF]

Davies, J., & Goel, A. K. (2003). Representation issues in visual analogy. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 25, No. 25). [PDF]

Goel, A. K. (2003). Model-Based Reflection and Self-Adaptation. In IICAI (p. 4).

Yaner, P. W., & Goel, A. K. (2003). Visual Case-Based Reasoning I: Memory and Retrieval. In IICAI (pp. 755-768).

Davies, J., & Goel, A. K. (2003, December). Visual Case-Based Reasoning II: Transfer and Adaptation. In IICAI (pp. 769-778). [PDF]

2002

Bhatta, S. R., & Goel, A. K. (2002). Design patterns and creative design. In Engineering Design Synthesis: Understanding, Approaches and Tools (pp. 271-284). London: Springer London. [PDF]

Yaner, P. W., & Goel, A. K. (2002, April). Retrieving 2-D line drawings by example. In International Conference on Theory and Application of Diagrams (pp. 97-99). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

2001

Davies, J., Goel, A. K., & Yaner, P. W. (2008). Proteus: Visuospatial analogy in problem-solving. Knowledge-Based Systems, 21(7), 636-654. [PDF]

Murdock, J. W. (2001). Self improvement through self understanding (Doctoral dissertation, Doctoral dissertation, College of Computing, Georgia Institute of Technology, Atlanta, Georgia). [PDF]

Murdock, J. W., & Goel, A. K. (2001, July). Meta-case-based reasoning: Using functional models to adapt case-based agents. In International Conference on Case-Based Reasoning (pp. 407-421). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

Murdock, J. W., & Goel, A. K. (2001, May). Learning about constraints by reflection. In Conference of the Canadian Society for Computational Studies of Intelligence (pp. 131-140). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

Murdock, J. W., Goel, A. K., Donahoo, M. J., & Navathe, S. (2001). A framework for method-specific knowledge compilation from databases. Journal of intelligent information systems, 17(1), 5-21. [PDF]

2000

Griffith, T., Nersessian, N., & Goel, A. (2000, August). Function-follows-form: generative modeling in scientific reasoning. In Proc. 22nd Cognitive Science Conference (pp. 196-201). [PDF]

Stroulia, E., & Goel, A. (2000). Evaluating psms in redesign: The autognostic experiments. International Journal of Human Computer Studies. [PDF]

1999

Murdock, J. W., & Goel, A. K. (1999, October). Towards adaptive web agents. In 14th IEEE International Conference on Automated Software Engineering (pp. 335-338). IEEE. [PDF]

Murdock, J. W., & Goel, A. K. (1999, November). An adaptive meeting scheduling agent. In Proceedings of the First Asia-Pacific Conference on Intelligent Agent Technology (IAT’99) (pp. 374-378). [PDF]

Stroulia, E., & Goel, A. K. (1999). Evaluating PSMs in evolutionary design: The A UTOGNOSTIC experiments. International journal of human-computer studies, 51(4), 825-847. [PDF]

Griffith, T. W. (1999). A computational theory of generative modeling in scientific reasoning. Georgia Institute of Technology. [PDF]

1998

Prabhakar, S., & Goel, A. K. (1998). Functional modeling for enabling adaptive design of devices for new environments. Artificial intelligence in Engineering, 12(4), 417-444. [PDF]

Duffy, A. H., Brown, D. C., & Goel, A. K. (1998). Machine learning in design. AI EDAM, 12(2), 93-94. [PDF]

Murdock, J. W., Goel, A. K., Donahoo, M. J., & Navathe, S. (1998). Method-Specific Knowledge Compilation: Towards Practical Design Support Systems. In Artificial Intelligence in Design’98 (pp. 427-444). Dordrecht: Springer Netherlands. [PDF]

1997

Goel, A., Stroulia, E., Chen, Z., & Rowland, P. (1997). Model-based reconfiguration of schema-based reactive control architectures. In Proceedings of the AAAI Fall Symposium on Model-Based Autonomy. [PDF]

Donahoo, M. J., Murdock, J. W., Goel, A. K., Navathe, S., & Omiecinski, E. (1997, October). From data to knowledge: method-specific transformations. In International Symposium on Methodologies for Intelligent Systems (pp. 411-420). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

Abowd, G., Goel, A., Jerding, D. F., McCracken, M., Moore, M., Murdock, J. W., … & Wills, L. (1997, October). MORALE. Mission ORiented Architectural Legacy Evolution. In 1997 Proceedings International Conference on Software Maintenance (pp. 150-159). IEEE. [PDF]

Bhatta, S. R., & Goel, A. K. (1997, August). A functional theory of design patterns. In IJCAI (1) (pp. 294-300). [PDF]

Bhatta, S. R., & Goel, A. K. (1997, July). An analogical theory of creativity in design. In International Conference on Case-Based Reasoning (pp. 565-574). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

Bhatta, S. R., & Goel, A. (1997). Learning generic mechanisms for innovative strategies in adaptive design. The Journal of the Learning Sciences, 6(4), 367-396. [PDF]

Goel, A. K. (1997). Design, Analogy, and Creativity. IEEE Intelligent Systems, 12(03), 62-70. [PDF]

Goel, A. K., & Ramanujam, J. (1996). A neural architecture for a class of abduction problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 26(6), 854-860. [pdf]

Stroulia, E., & Goel, A. K. (1997, August). Redesigning a problem-solver’s operators to improve solution quality. In IJCAI (1) (pp. 562-567). [PDF]

1996

Stroulia, E. & Goel, A. (1996, September). Artificial Intelligence for Engineering, Design, Analysis and Manufacturing. Cambridge Press, pp. 355-370.

Bhatta, S. R., & Goel, A. K. (1996). From design experiences to generic mechanisms: model-based learning in analogical design. AI EDAM, 10(2), 131-136. [PDF]

Prabhakar, S., & Goel, A. K. (1996). Learning about novel operating environments: Designing by adaptive modelling. AI EDAM, 10(2), 151-156. [PDF]

Goel, A. K., & Stroulia, E. (1996). Functional device models and model-based diagnosis in adaptive design. AI EDAM, 10(4), 355-370. [PDF]

Goel, A. K., & Ramanujam, J. (1996). A neural architecture for a class of abduction problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 26(6), 854-860. [PDF]

Stroulia, E., & Goel, A. K. (1996, August). A model-based approach to blame assignment: Revising the reasoning steps of problem solvers. In PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (pp. 959-964). [PDF]

Goel, A. K., & Murdock, J. W. (1996, November). Meta-cases: Explaining case-based reasoning. In European Workshop on Advances in Case-Based Reasoning (pp. 150-163). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

Goel, A. K., Gómez de Silva Garza, A., Grué, N., Murdock, J. W., Recker, M. M., & Govindaraj, T. (1996, June). Towards design learning environments—I: Exploring how devices work. In International conference on intelligent tutoring systems (pp. 493-501). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

1995

Stroulia, E., & Goel, A. K. (1995). Functional representation and reasoning for reflective systems. Applied Artificial Intelligence an International Journal, 9(1), 101-124. [PDF]

Punch, W. F., Goel, A. K., & Brown, D. C. (1995). A knowledge-based selection mechanism for strategic control with application in design, diagnosis and planning. International Journal on Artificial Intelligence Tools, 4(03), 323-348. [PDF]

Goel, A. K., Josephson, J. R., Fischer, O., & Sadayappan, P. (1995). Practical abduction: characterization, decomposition and concurrency. Journal of Experimental & Theoretical Artificial Intelligence, 7(4), 429-450. [PDF]

1994

Goel, A. (1994). High-speed VLSI interconnections – modeling, analysis, and simulation. Wiley series in microwave and optical engineering, Wiley 1994, ISBN 978-0-471-57122-3, pp. I-XX, 1-622. [Link]

Bhatta, S. R., & Goel, A. K. (1994). Discovery of physical principles from design experiences. AI EDAM, 8(2), 113-123. [PDF]

Goel, A. K., Ail, K. S., Donnellan, M. W., de Silva Garza, A. G., & Callantine, T. J. (1994). Multistrategy adaptive path planning. IEEE Expert, 9(6), 57-65. [PDF]

Peterson, J., Mahesh, K., & Goel, A. (1994). Situating natural language understanding within experience-based design. International journal of human-computer studies, 41(6), 881-913. [PDF]

Stroulia, E., & Goel, A. K. (1994, April). Learning problem-solving concepts by reflecting on problem solving. In European Conference on Machine Learning (pp. 287-306). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

Stroulia, E., & Goel, A. K. (1994, September). Reflective, self-adaptive problem solvers. In International Conference on Knowledge Engineering and Knowledge Management (pp. 394-413). Berlin, Heidelberg: Springer Berlin Heidelberg. [PDF]

1993

Chandrasekaran, B., Goel, A. K., & Iwasaki, Y. (1993). Functional representation as design rationale. Computer, 26(1), 48-56. [PDF]

Goel, A., Donnellan, M., Vazquez, N., & Callantine, T. (1993, May). An integrated experience-based approach to navigational path planning for autonomous mobile robots. In [1993] Proceedings IEEE International Conference on Robotics and Automation (pp. 818-825). IEEE. [PDF]

Stroulia, E., & Goel, A. K. (1993). Reasoning About Function in Reflective Systems. [PDF]

1992

Goel, A. K. (1992). Integrating case-based and model-based reasoning: a computational model of design problem solving. AI Magazine, 13(2), 50-50. [PDF]

Pearce, M., Goel, A. K., Kolodner, I. L., Zimring, C., Sentosa, L., & Billington, R. (1992). Case-based design support: A case study in architectural design. IEEE expert, 7(5), 14-20. [PDF]

Goel, A. K., & Callantine, T. J. (1992, July). An experience-based approach to navigational route planning. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (Vol. 2, pp. 705-710). IEEE. [PDF]

Goel, A. K. (1992). Representation of design functions in experience-based design. IFIP TRANSACTIONS B-APPLICATIONS IN TECHNOLOGY, 4, 283-303.

1991

Goel, A. K., Arkin, R. C., Eiselt, K. P., Kolodner, J. L., Lawton, D. T., & Ram, A. (1991). Basic artificial intelligence research at the Georgia Institute of Technology. AI Magazine, 12(2), 17-17. [PDF]

Fischer, O., Goel, A., Svirbely, J. R., & Smith, J. W. (1991). The role of essential explanation in abduction. Artificial Intelligence in Medicine, 3(4), 181-191. [PDF]

Goel, A. K., Bylander, T., Chandrasekaran, B., Dietterich, T. G., Keller, R. M., & Tong, C. (1991). Knowledge compilation: A symposium. IEEE Intelligent Systems, 6(02), 71-93. [PDF]

Bylander, T., Johnson, T. R., & Goel, A. (1991). Structured matching: a task-specific technique for making decisions. Knowledge Acquisition, 3(1), 1-20. [PDF]

Goel, A. K., & Eiselt, K. P. (1991). Mental models, text interpretation, and knowledge acquisition. ACM SIGART Bulletin, 2(4), 75-78. [PDF]

KOLEN, J., & GOEL, A. (1991). Learning in parallel distributed processing networks: computational complexity and information content. IEEE transactions on systems, man, and cybernetics, 21(2), 359-367. [PDF]

Misra, N., & Goel, A. K. (1991, January). Implementation of fault-tolerant sequential circuits using programmable logic arrays. In Proceedings First Great Lakes Symposium on VLSI (pp. 128-129). IEEE Computer Society. [PDF]

Xu, W., & Goel, A. K. (1991, January). Modeling of the transverse delays in modulation-doped heterojunction field-effect transistors. In Proceedings First Great Lakes Symposium on VLSI (pp. 328-329). IEEE Computer Society. [PDF]

Goel, A. K., & Schuermeyer, F. L. (1991, January). ‘NCHIPSIM’-a microcomputer simulator of NMOS chip performance indicators. In Proceedings First Great Lakes Symposium on VLSI (pp. 332-333). IEEE Computer Society. [PDF]

Gupte, A. N., & Goel, A. K. (1991, March). Study of quaternary logic versus binary logic. In [1991] Proceedings. First Great Lakes Symposium on VLSI (pp. 336-337). IEEE. [PDF]

Goel, A. K. (1991). Model revision: A theory of incremental model learning. In Machine Learning Proceedings 1991 (pp. 605-609). Morgan Kaufmann. [PDF]

1980 – 1990

Goel, A. K., & Chandrasekaran, B. (1990, November). A task structure for case-based design. In 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings (pp. 587-592). IEEE. [PDF]

Goel, A., & Bylander, T. (1989). Computational Feasibility of Structured Matching. IEEE Transactions on Pattern Analysis & Machine Intelligence, 11(12), 1312-1316. [PDF]

Bylander, T., Johnson, T. R., & Goel, A. (1989, January). Structured matching: a task-specific technique for making decisions. In IEEE International Workshop on Tools for Artificial Intelligence (pp. 138-139). IEEE Computer Society. [PDF]

Goel, A. K., & Chandrasekaran, B. (1989, August). Functional representation of designs and redesign problem solving. In IJCAI (pp. 1388-1394). [PDF]

Chandrasekaran, B., Goel, A., & Allemang, D. (1988). Connectionism and information processing abstractions. AI magazine, 9(4), 24-24. [PDF]

CHANDRASEKARAN, B., & GOEL, A. (1988). From numbers to symbols to knowledge structures: artificial intelligence perspectives on the classification task. IEEE transactions on systems, man, and cybernetics, 18(3), 415-424. [PDF]

Goel, Ramanujam, & Sadayappan. (1988, July). Towards a’neural’architecture for abductive reasoning. In IEEE 1988 International Conference on Neural Networks (pp. 681-688). IEEE. [PDF]

Goel, A. K., Soundararajan, N., & Chandrasekaran, B. (1987, July). Complexity in Classificatory Reasoning. In AAAI (pp. 421-425). [PDF]