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

    • Karan Taneja, Anjali Singh and Ashok Goel. (2025) Towards a Multimodal Document-grounded Conversational AI System for Education. In Proc. 26th International Conference on Artificial Intelligence in Education 2025. View More...
    • Rahul Dass, Rochan Madhusudhana, Erin Deye, Shashank Verma, Timothy Bydlon, Grace Brazil and Ashok Goel. (2025) Enhanced Question-Answering for Skill-based Learning using Knowledge-based AI and Generative AI. In Proc. 26th International Conference on Artificial Intelligence in Education 2025. 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...
    • Pratyusha Maiti and Ashok K. Goel. (2025) Can an AI Partner Empower Learners to Ask Critical Questions? In 30th International Conference on Intelligent User Interfaces (IUI ’25), March 24–27, 2025, Cagliari, Italy. View More...
    • Manuel Preston de Miranda, Mahimul Islam, Rhea Basappa, Travis Taylor, Ashok Goel. (2025) Adaptable Social AI Agents. In Proc. Association for the Advancement of Artificial Intelligence. View More...
    • Stephen Buckley, John Kos, Rahul Dass, Cathy Teng, Kenneth Eaton, Sareen Zhang, and Ashok Goel. (2025) A Personalized AI Coach to Assist in Self-Directed Learning. In Proc. at DAI, March 2025. View More...
    • John Kos, Kenneth Eaton, Sareen Zhang, Rahul Dass, and Ashok Goel. (2025) Using Comparative Machine Learning Methods to Validate Educational Content. In Proc. at iRaise AAAI 2025. View More...
    • Taneja, K., & Goel, A. K. (2025). MuDoC: An Interactive Multimodal Document-grounded Conversational AI System. arXiv preprint arXiv:2502.09843. View More...
    • Olson, Audrey, Pratyusha Maiti, and Ashok Goel. "The Textbook of Tomorrow: Rethinking Course Material Interfacing in the Era of GPT." arXiv preprint arXiv:2501.03618 (2025). View More...
    • Dass, R., 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. Presented at the AAAI 2025 Workshop on AI for Education (AI4ED). https://arxiv.org/abs/2504.07463 View More...

    2024

    • Karan Taneja and Ashok Goel. Can Active Label Correction Improve LLM-based Modular AI Systems? To appear in Procs. EMNLP, Miami, November 2024. 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. HEXED (Human-Centric eXplainable AI in Education) Workshop in conjunction with the 17th International Conference on Educational Data Mining (EDM). View More...
    • Robert Lindgren, Sandeep Kakar, Pratyusha Maiti, Karan Taneja, and Ashok Goel. (2024) Does Jill Watson Increase Teaching Presence? Procs. 10th ACM Conference on Learning at Scale, July 2024. View More...
    • Pratyusha Maiti and Ashok Goel. (2024) How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings? To appear on the Website of Seventeenth International Conference on Educational Data Mining (EDM) Workshop: Leveraging LLMs for Next Generation Educational Technologies, July 2024.
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    • Taneja, Karan, Pratyusha Maiti, Sandeep Kakar, Pranav Guruprasad, Sanjeev Rao, & Ashok K. Goel. "Jill Watson: A Virtual Teaching Assistant powered by ChatGPT." In International Conference on Artificial Intelligence in Education, pp. 324-337. Cham: Springer Nature Switzerland, 2024. View More...
    • Rhea Basappa, Mustafa Tekman, Hong Lu, Benjamin Faught, Sandeep Kakar, and Ashok Goel. (2024) Social AI Agents Too Need to Explain Themselves. Procs. 20th International Conference on Intelligent Tutoring Systems, 2024. View More...
    • John Kos, Dinesh Ayyappan, and Ashok Goel. (2024) A Constructivist Framing of Wheel Spinning: Identifying Unproductive Behaviors with Sequence Analysis. Procs. Institute of Intelligent Systems, 2024. View More...
    • Sandeep Kakar, Rhea Basappa, Ida Camacho, Christopher Griswold, Alex Houk, Christopher Leung, Mustafa Tekman, Patrick Westervelt, Qiaosi Wang, and Ashok Goel. (2024) SAMI: An AI Actor for Fostering Social Interactions in Online Classrooms. Proc. of 20th International Conference on Intelligent Tutoring Systems, Spring 2024. View More...
    • Sandeep Kakar, Pratyusha Maiti, Karan Taneja, Alekhya Nandula, Gina Nguyen, Aiden Zhao, Vrinda Nandan, and Ashok Goel. (2024) Jill Watson: Scaling and Deploying an AI Conversational Agent in Online Classrooms. Proc. 20th International Conference on Intelligent Tutoring Systems, Spring 2024. View More...
    • Wang, Qiaosi, Chidimma L. Anyi, Vedant Das Swain, and Ashok K. Goel. (2024) Navigating AI Fallibility: Examining People's Reactions and Perceptions of AI after Encountering Personality Misrepresentations. arXiv preprint arXiv:2405.16355. View More...
    • Taneja, Karan, and Ashok Goel. (2024) Machine Teaching for Building Modular AI Agents based on Zero-shot Learners. arXiv preprint arXiv:2401.05467. View More...
    • Qiaosi Wang and Ashok Goel. (2024) Mutual Theory of Mind for Human-AI Communication. Proc. CHI 2024, May 2024. View More...
    • Lingqing Wang, Xingyu Li, Duanduan Zhou, and Ashok Goel. (2024) Applying Theory of Mind to Personalize AI for Supporting Life Transitions. Proc. CHI 2024, May 2024. 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. 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. April 2024. https://doi.org/10.3102/2103270 View More...
    • Ashok Goel, Chris Dede, Myk Garn, and Chaohua Ou. (2024) AI-ALOE: AI for reskilling, upskilling, and workforce development. AI Magazine 45(1):77-82, NSF's National AI Institutes, Spring 2024.
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    • Ashok K. Goel, Chaohua Ou: Introduction to the Special Issue. AI Mag. 45(1): 4-5 (2024) 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...
    • Andrew Hornback, Sungeun An, Scott Bunin, Stephen Buckley, John Kos, Ashok K. Goel. (2023). Conducting A/B Experiments with a Scalable Architecture. CoRR abs/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...
    • Andrew Hornback, Stephen Buckley, John Kos, Scott Bunin, Sungeun An, David A. Joyner, Ashok K. Goel: A Scalable Architecture for Conducting A/B Experiments in Educational Settings. L@S 2023: 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...
    • James Donlon, Ashok K. Goel: Looking back, looking ahead: Strategic initiatives in AI and NSF's AI Institutes Program. AI Mag. 44(3): 345-348 (2023) 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...
    • Marissa Keech, Ashok K. Goel: Why Are Some Online Educational Programs Successful? Student Cognition and Success. CoRR abs/2209.05462 (2022) 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. Co-Designing AI Agents to Support Social Connectedness Among Online Learners: Functionalities, Social Characteristics, and Ethical Challenges, pages 541-556. https://doi.org/10.1145/3512977. View More...
    • Wang, Q. & Goel, A. Mutual Theory of Mind for Human-AI Communication. Accepted for presentation to the IJCAI-2022 Workshop on Communication between Humans and AI, Vienna, Austria, July 2022. View More...
    • Taneja, K., Sikka, H. & Goel, A. Human-AI Interaction Design in Machine Teaching. Accepted for presentation to the IJCAI-2022 Workshop on Communication between Humans and AI, Vienna, Austria, July 2022. Arxiv CoRR abs/2204.10357 (2022) View More...
    • Goel, A., Sikka, H., Nandan, V., Lee, J., Lisle, M. & Rugaber, S. Explanation as Question Answering based on a Task Model of the Agent's Design. Accepted for presentation to the IJCAI-2022 Workshop on Explanation in AI, Vienna, Austria, July 2022. Arxiv CoRR abs/2206.05030. View More...
    • Scott Bunin, Willventchy Celestin, Andrew Hornback and Spencer Rugaber. 2022. Incorporating Habitats in Conceptual Models and Agent-Based Simulations: Expanding the Virtual Ecological Research Assistant. In Proceedings of the Ninth ACM Conference on Learning @ Scale (L@S ’22), June 1–3, 2022, New York City, NY, USA. ACM, New York, NY, USA, 3 pages. https://doi.org/10.1145/3491140.3528361 View More...
    • An, S., Rugaber, S., Hammock, J. & Goel, A. Contextualizing Large-Scale Domain Knowledge for Conceptual Modeling and Simulation. Accepted for presentation to the IJCAI-2022 Workshop on Qualitative Reasoning, Vienna, Austria, July 2022. 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...
    • Chaohua Ou, Ashok K. Goel, David A. Joyner: Towards a Pedagogical Framework for Designing and Developing iTextbooks. iTextbooks@AIED 2022: 50-63 View More...
    • An, Sungeun, Emily Weigel, and Ashok K. Goel. "Effects of guidance on learning about Ill-defined problems." In International Conference on Intelligent Tutoring Systems, pp. 303-312. Cham: Springer International Publishing, 2022. 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...
    • Wangcheng Xu, Snejana Shegheva, Ashok K. Goel: Symmetry as a Representation of Intuitive Geometry? CoRR abs/2206.02019 (2022) View More...
    • Goel, A., Sikka, H. & Gregori, E. (2022) . Agent Smith: Machine Teaching for Building Question Answering Agents.
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    • Taneja, K. , Sikka, H. & Goel, A. (April 2022). A Framework for Interactive Knowledge-Aided Machine Teaching. View More...
    • Robson, R., Kelsey, E., Goel, A., Nasir, S.M., Robson, E., Garn, M., Lisle, M., Kitchens, J., Rugaber, S. & Ray, F. (2022, April). Intelligent links: AI-supported connections between employers and colleges. Wiley Online. View More...
    • Qiaosi Wang, Ida Camacho, Shan Jing, Ashok K. Goel: Understanding the Design Space of AI-Mediated Social Interaction in Online Learning: Challenges and Opportunities. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 130:1-130:26 (2022)
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    • 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...
    • Ashok K. Goel:
      Looking Back, Looking Ahead: Symbolic versus Connectionist AI. AI Mag. 42(4): 83-85 (2022) 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

    • Ashok K. Goel, Harshvardhan Sikka, Eric Gregori: Agent Smith: Teaching Question Answering to Jill Watson. CoRR abs/2112.13677 (2021)
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    • Ashok K. Goel, Vrinda Nandan, Eric Gregori, Sungeun An, Spencer Rugaber: Explanation as Question Answering based on Design Knowledge. CoRR abs/2112.09616 (2021) View More...
    • Fitzgerald, T., Goel, A. & Thomaz, A. ( 2021, November ). Modeling and Learning Constraints for Creative Tool Use. View More...
    • Parashar, P., & Goel, A. K. (2021). Meta-reasoning in assembly robots. Systems Engineering and Artificial Intelligence, 425-449. View More...
    • Fitzgerald, T., Goel, A., & Thomaz, A. (2021). Abstraction in data-sparse task transfer. Artificial Intelligence, 300. 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...
    • Ashok K. Goel: Rethinking AI Magazine Again. AI Mag. 42(2): 87-88 (2021) View More...
    • An, S., Rugaber, S., Weigel, E., & Goel, A. (2021, July) Cognitive Strategies for Parameter Estimation in Model Exploration. In Proceedings for the 43rd Annual Conference of the Cognitive Science Society, Vienna, Austria, 26-29 July 2021. 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. Springer, Athens, Greece. View More...
    • Goel, A., Kuthalam, M., Hong, S. J. & McGreggor, K. (2021). Entrepreneurship: A New Frontier in a Computational Science of Creativity. 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 2021. 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...
    • Tesca Fitzgerald, Elaine Short, Ashok Goel, and Andrea Thomaz. (2019) Human-guided Trajectory Adaptation for Tool Transfer. In Proc. of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '19). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 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...
    • 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...
    • Ida Camacho and Ashok Goel. (2018) 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 (L@S '18). ACM, New York, NY, USA, Article 21, 4 pages. 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, Akshay, Taylor Hartman, and Ashok K. Goel. (2018) "From Middle School to Graduate School: Combining Conceptual and Simulation Modeling for Making Science Learning Easier." In CogSci. 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...
    • Eicher, Bobbie, Lalith Polepeddi, and Ashok Goel. "Jill Watson Doesn’t Care if You’re Pregnant: Grounding AI Ethics in Empirical Studies." (2017). 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., Thomaz, A., Goel, A., "Human-Robot Co-Creativity: Task Transfer on a Spectrum of Similarity", To be presented at the Eighth International Conference on Computational Creativity (ICCC). Atlanta, Georgia. June 2017. 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., Kulkarni R., Kumble M., Sarathy S. Goel, A (2016). Knowledge Extraction and Annotation for Cross-Domain Textual Case Based Reasoning in Biologically Inspired Design. International Conference On Case-Based Reasoning, 2016
    • 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., "Situated Mapping for Transfer Learning", Presented at the Fourth Annual Conference on Advances in Cognitive Systems. Evanston, Illinois. June 2016. 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. L., Goel, A. K. (2016). "Abstraction for Analogical Reasoning in Robotic Agents.” Presented at the ICCBR Workshop on Computational Analogy. Atlanta, Georgia. Oct 2016. View More...
    • Wiltgen, B., & Goel, A. (2016). Functional model simulation for evaluating design concepts. Advances in Cognitive Systems, 4. 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). ACM. View More...
    • Fitzgerald, T. (2015). "Toward a Case-Based Framework for Imitation Learning in Robotic Agents." Presented at the ICCBR Doctoral Consortium. Frankfurt, Germany. Sept. 2015. View More...
    • Fitzgerald, T., Goel, A. K. (2015). "A Case-Based Framework for Task Demonstration Storage and Adaptation." Presented at the ICCBR Workshop on Case-Based Agents. Frankfurt, Germany. Sept. 2015. View More...
    • Fitzgerald, T., Goel, A. K., Thomaz, A. L. (2015). "A Similarity-Based Approach to Skill Transfer." (Extended Abstract). Presented at the Women in Robotics Workshop at the Robotics: Science and Systems Conference. Rome, Italy. July 2015. View More...
    • Fitzgerald, T., (2015). "Case-Based Skill Transfer in Robotic Agents." (Extended Abstract). Presented at the Students of Cognitive Systems Workshop at the Third Annual Conference on Advances in Cognitive Systems. Atlanta, Georgia. May 2015. View More...
    • Fitzgerald, T., Thomaz, A. L. (2015). “Skill Demonstration Transfer for Learning from Demonstration.” (Extended Abstract). Presented at the Pioneers Workshop at the Human-Robot Interaction Conference. Portland, Oregon. Mar 2015. 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. K. (2015). Geometry, Drawings, Visual Thinking and Imagery: Towards a Visual Turing Test of Machine Intelligence. Goel, Ashok K. "Geometry, Drawings, Visual Thinking and Imagery: Towards a Visual Turing Test of Machine Intelligence." AAAI Workshop on Beyond the Turing Test. Austin, Texas, USA.
    • Fitzgerald, T., McGreggor, K., Akgun, B., Thomaz, A., & Goel, A. K. (2015). Visual Case Retrieval for Interpreting Skill Demonstrations. In Proc. of the Twenty-Third International Conference on Case-Based Reasoning. Frankfurt, Germany. September, 2015.
    • Spiliopoulou, E., Rugaber, S., Goel, A. K., Chen, L., Wiltgen, B., & Jagannathan, A. (2015). Intelligent Search for Biologically Inspired Design. Spiliopoulou, Evangelia, Rugaber, Spencer, Goel, Ashok, Chen, Lianghao, Wiltgen, Bryan, and Jagannathan, Arvind Krishnaa (2015). Intelligent Search for Biologically Inspired Design. In Procs. 20th International Conference on Intelligent User Interfaces Companion (IUI Companion '15). pp. 77-80.

    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., & 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. (2014, August). The Four-Box Method of Problem Specification and Analogy Evaluation in Biologically Inspired Design. In ASME International Design Engineering Technical Conferences and Computer and Information Engineering Conference.
      View More...
    • Goel, A. K., Zhang, G., Wiltgen, B., Zhang, Y., Vattam, S., & Yen, J. (2014). The Design Study Library: Compiling, Analyzing and Using Biologically Inspired Design Case Studies. Sixth International Conference on Design Computing and Cognition (DCC'14), June 23-25, 2014
    • Joyner, D.A., Goel, A.K. (2014). Attitudinal Gains from Engagement with Metacognitive Tutors in an Exploratory Learning Environment. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, vol 8474. Springer, Cham. https://doi.org/10.1007/978-3-319-07221-0_85 View More...
    • Vattam, S.S., Goel, A.K. (2014). An Information-Processing Theory of Interactive Analogical Retrieval. In: Prade, H., Richard, G. (eds) Computational Approaches to Analogical Reasoning: Current Trends. Studies in Computational Intelligence, vol 548. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54516-0_13 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). “Representing Skill Demonstrations for Adaptation and Transfer.” (Extended Abstract). Presented at the AAAI Fall Symposium on Knowledge, Skill, and Behavior Transfer in Autonomous Robots. Arlington, Virginia. Nov 2014. View More...
    • Fitzgerald, T., Goel, A. K. (2014). “A Case-Based Approach To Imitation Learning in Robotic Agents.” Presented at the ICCBR Workshop on Case-Based Agents. Cork, Ireland. Sept. 2014. 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. Presented at the AAAI Workshop on Artificial Intelligence and Robotics. Québec City, Québec, Canada. July 2014. 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. K., Tovey, C., & Weissburg, M. (2014). Adaptive Evolution of Teaching Practices in Biologically Inspired Design. Biologically Inspired Design: Computational Methods and Tools, A. K. Goel, D. McAdams & R. Stone (editors), Springer. pp. 153-199. 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. (2014). MILA-S: Generation of agent-based simulations from conceptual models. In Proceedings of the 19th International Conference on Intelligent User Interfaces. Haifa, Israel. pp. 289-298.
    • 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. Computational approaches to analogical reasoning - Current trends, Prade, H. & Richard, G. (eds). Springer Publishing Company, Inc.
    • 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. June, 2014.
    • McGreggor, K., & Goel, A. K. (2014). Confident Reasoning on Raven’s Progressive Matrices Tests. In Proc. of the Twenty-Eighth AAAI Conference on Artificial Intelligence. Québec City, Québec, Canada. July, 2014.

    2013

    2012

    2011

    2010

    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...
    • 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...
    • 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. International Journal of AI in Engineering Design, Analysis and Manufacturing, Special Issue on Developing and Using Engineering Ontologies, 23: 23-35, 2009.

    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

    Summer Adams & Ashok Goel. Making Sense of VAST Data. In Proc. IEEE Intelligence and Security Informatics, New Brunswick, New Jersey, May 23-24, 2007, pp. 270-273. [PDF]

    Summer Adams & Ashok Goel. A STAB at Making Sense of VAST Data. In Proc. AAAI-2007 Workshop on Plan, Activity, and Intent Recognition, Vancouver, Canada, July 23, 2007, pp. 1-8. [PDF]

    Jim Davies & Ashok Goel. Transfer of Problem-Solving Strategy Using the Cognitive Visual Language. Journal of Visual Languages and Computing; 18(2): 149-164. [PDF]

    Joshua Jones & Ashok Goel. Structural Credit Assignment in Hierarchical Classification. In Proc. International Conference on AI, Las Vegas, June 2007, pp. 378-384. [PDF]

    Joshua Jones, Ashok Goel & Spencer Rugaber. (2007) Teleological Modeling and Reasoning for Automated Software Adaptations. [PDF]

    Joshua Jones, Ashok Goel & Spencer Rugaber. Automating Software Evolution. In Proc. Science of Design Workshop, Eureka, California, March 2007. [PDF]

    Anita Raja & Ashok Goel. Introspective Self-Explanation in Analytical Agents. In Proc. AAMAS 2007 Workshop on Metareasoning in Agent-based Systems, pp 76-91, Hawaii, May 2007. [PDF]

    Swaroop Vattam, Michael Helms, and Ashok K. Goel. Biologically-Inspired Innovation in Engineering Design: A Cognitive Study. Technical Report, Graphics, Visualization and Usability Center, Georgia Institute of Technology GIT-GVU-07-07, April 2007. [PDF]

    Patrick Yaner. From Shape to Function: Acquisition of Teleological Models from Design Drawings by Compositional Analogy. Ph.D. Dissertation, College of Computing, Georgia Institute of Technology, December 2007 [PDF]

    Patrick Yaner & Ashok Goel. Visual Analogies at Multiple Levels of Abstraction. In Proc. 29th Annual Meeting of the Cognitive Science Society, Nashville, August 2007. [PDF]

    Patrick Yaner & Ashok Goel. Understanding Drawings by Compositional Analogy. In Proc. International Joint Conference on Artificial Intelligence (IJCAI-2007), Hyderabad, India. January 2007, pp. 1131-1137. [PDF]

    2006

    Andreas von Hessling & Ashok Goel. Enabling MDP Solution Transfer by Abstraction. In ICML-2006 Workshop on Structural Knowledge Transfer for Machine Learning, July 2006.

    Patrick Yaner & Ashok Goel. Visual Analogy: Viewing Retrieval and Mapping as Constraint Satisfaction. Journal of Applied Intelligence, 25(1):91-105, 2006. [PDF]

    Patrick Yaner & Ashok Goel. From Form to Function: From SBF to DSSBF. In Proc. Second International Conference on Design Computing and Cognition, Eindhoven, Netherlands, July 2006. [PDF]

    Patrick Yaner & Ashok Goel. From Diagrams to Models by Analogical Transfer. In Proc. Fourth International Conference on Theory and Application of Diagrams. Stanford University, Palo Alto, California, June 2006, pp. 55-69. [PDF]

    Aranggan Venkataratnam and Ashok K. Goel. Design and simulation of logic gates using single electron transistors at room temperature. Int. J. Comput. Sci. Eng. 2(3/4): 179-188 (2006).

    Ashok K. Goel and T. H. Tan. High-temperature and self-heating effects in fully depleted SOI MOSFETs. Microelectron. J. 37(9): 963-975 (2006). [PDF]

    Patrick W. Yaner and Ashok K. Goel. Interpretation of Design Drawings by Analogy. AAAI 2006. [PDF]

    Aranggan Venkataratnam and Ashok K. Goel. Design and Simulation of Logic Circuits with Hybrid Architectures of Single Electron Transistors and Conventional Devices. Nano-Net 2006: 1-5.

    2005

    Jim Davies, Ashok Goel & Nancy Nersessian. Transfer in Visual Case-Based Problem-Solving. In Proc. 6th International Conference on Case-Based Reasoning, Chicago, August 2005, H. Munoz-Avila and F. Ricci (Eds.) Springer-Verlag. Berlin Heidelberg, pp. 163-176. [PDF]

    Jim Davies, Ashok Goel & Nancy Nersessian. A Cognitive Model of Visual Analogical Problem-Solving Transfer. In Proc. IJCAI-05 Workshop on Creativity, August 2005. [PDF]

    Jim Davies, Nancy Nersessian & Ashok Goel. Visual Models in Analogical Problem Solving. Foundations of Science, 10(1):133-152, 2005. [PDF]

    Ashok Goel & Susan Craw. Design, Innovation and Case-Based Reasoning. Knowledge Engineering Review, 20(3):271-276, 2005. [PDF]

    Andreas von Hessling & Ashok Goel. Abstracting Reusable Cases from Reinforcement Learning. In Proc. ICCBR-05 Workshop on Game Playing. [PDF]

    Joshua Jones & Ashok Goel. Knowledge Organization and Structural Credit Assignment. In Proc. IJCAI-05 Workshop on Reasoning, Representation and Learning in Computer Games, Edinburgh, UK, August 2005. [PDF]

    Patrick Ulam, Ashok Goel, Joshua Jones & William Murdock. Using Model-Based Reflection to Guide Reinforcement Learning. In Proc. IJCAI-05 Workshop on Reasoning, Representation, and Learning in Computer Games, August 2005. [PDF]

    2004

    Jim Davies. Constructive Adaptive Visual Analogy. Ph.D. Dissertation, College of Computing, Georgia Institute of Technology, 2004. [PDF]

    Ashok Goel & Sambasiva Bhatta. Use of Design Patterns in Analogy-Based Design. Advanced Engineering Informatics, 18(2):85-94, April 2004. [PDF]

    Joshua Jones & Ashok Goel. Hierarchical Judgement Composition: Revisiting the Structural Credit Assignment Problem. In Proc. AAAI-2004 Workshop on Challenges in Game Playing, San Jose, CA, 2004. [PDF]

    Patrick Ulam, Ashok Goel & Joshua Jones. Reflection in Action: Model-Based Self-Adaptation in Game Playing Agents. In Proc. AAAI-2004 Workshop on Challenges in Game Playing. [PDF]

    Patrick W. Yaner & Ashok K. Goel. Visual Analogy: Reexamining Analogy as a Constraint Satisfaction Problem. In Proc. 26th Cognitive Science Conference, August, 2004. [PDF]

    2003

    Jim Davies, Ashok Goel & Nancy Nersessian. Visual Re-Representation in Creative Analogies. In Proc. IJCAI-2003 Workshop on AI in Creativity. [PDF]

    J. William Murdock & Ashok Goel. Localizing Planning with Functional Process Models. In Proc. International Conference on Automated Planning and Scheduling (ICAPS-03), June 2003, pp:73-81. [PDF]

    Jim Davies & Ashok Goel. Representation Issues in Visual Analogies. In Proc. 25th Cognitive Science Conference, August 2003.[PDF]

    Ashok K. Goel. Model-Based Reflection and Self-Adaptation. IICAI 2003: 4.

    Patrick W. Yaner and Ashok K. Goel. Visual Case-Based Reasoning I: Memory and Retrieval. IICAI 2003: 755-768.

    Jim Davies and Ashok K. Goel. Visual Case-Based Reasoning II: Transfer and Adaptation. IICAI 2003: 769-778. [PDF]

    2002

    Sambasiva Bhatta & Ashok Goel. Design Patterns and Creative Design. In Engineering Design Synthesis, A. Chakrabarti (editor), Chapter 16, pp. 271-284, Springer, 2002. [PDF]

    Patrick W. Yaner and Ashok K. Goel. Retrieving 2-D Line Drawings by Example. Diagrams 2002: 97-99.

    2001

    Jim Davies & Ashok Goel. Visual Analogy in Problem Solving. In Proc. 17th International Joint Conference on Artificial Intelligence (IJCAI-01), August 2001, pp 377-382. Morgan Kaufmann. [PDF]

    J. William Murdock. Self-Improvement through Self-Understanding. Ph.D. Dissertation, College of Computing, Georgia Institute of Technology, August 2001. [PDF]

    J. William Murdock & Ashok Goel. Meta-Case-Based Reasoning: Using Functional Models to Adapt Case-Based Agents. In Proc. 3rd International Conference on Case-Based Reasoning, Vancouver, Canada, June 2001. Available as Lecture Notes in Computer Science: Case-Based Reasoning Research and Development Volume 2080, pp. 407-421. [PDF]

    J. William Murdock & Ashok Goel. Learning about Constraints by Reflection. In Proc. Biennial Canadian AI Conference. Available as Lecture Notes in Computer Science: Advances in AI, Volume 2056, pp. 131-140. [PDF]

    J. William Murdock, Ashok K. Goel, Michael J. Donahoo & Shamkant Navathe. A Framework for Method-Specific Knowledge Compilation from Databases. Journal of Intelligent Information Systems, 17(1): 5-21, November 2001. [PDF]

    2000

    Todd Griffith, Nancy Nersessian & Ashok Goel. Function-follows-Form: Generative Modeling in Scientific Reasoning. In Proc. 22nd Cognitive Science Conference, 2000. [PDF]

    1999

    J. William Murdock & Ashok Goel. Towards Adaptive Web Agents. In Proc. 14th IEEE International Conference on Automated Software Engineering (ASE-99), pp. 335-338, Cocoa Beach, Florida, October 12-15, 1999. [PDF]

    J. William Murdock & Ashok Goel. An Adaptive Meeting Scheduling Agent. In Proc. 1st Asia-Pacific Conference on Intelligent Agent Technology, pp. 374-378, Hong Kong, December 15-17, 1999. [PDF]

    Eleni Stroulia & Ashok Goel. Evaluating PSMs in evolutionary design: the A UTOGNOSTIC Experiments. International Journal of Human-Computer Studies, Special Issue on Evaluation Methodologies, 51:825-847, 1999. [PDF]

    1998

    Ashok Goel, Eleni Stroulia, Zhong Chen & Paul Rowland. A Model-Based Approach to Reconfiguration of Schema-Based Reactive Control Architectures. In Proc. AAAI Fall Symposium on Model-Based Autonomous Systems, Boston, Fall 1998. [PDF]

    Todd Griffith. Generative Modeling in Scientific Discovery. Ph.D. Dissertation, College of Computing, Georgia Institute of Technology, August 1998. [PDF]

    Sattiraju Prabhakar & Ashok Goel. Functional Modeling for Enabling Adaptive Design of Devices for New Environments. Artificial Intelligence in Engineering, 12:417-444, 1998. [PDF]

    Alex H. B. Duffy, David C. Brown, and Ashok K. Goel. Special Issue: Machine Learning in Design. Artif. Intell. Eng. Des. Anal. Manuf. 12(2): 93-94 (1998).

    J. William Murdock, Ashok K. Goel, Michael J. Donahoo, and Shamkant B. Navathe. Method-Specific Knowledge Compilation: Towards Practical Design Support Systems. AID 1998: 427-444. [PDF]

    1997

    Michael Donahoo, William Murdock, Ashok Goel, Shamkant Navathe & Edward Omiecinski. From Data to Knowledge: Method-Specific Transformations. In Lecture Notes in AI – 1325: Foundations of Intelligent Systems, Ras and Skowron (editors), Springer, 1997, pp. 411-420.[PDF]

    Gregory Abowd, Ashok Goel, Dean Jerding, Michael McCracken, Melody Moore, William Murdock, Colin Potts, Spencer Rugaber & Linda Wills. MORALE. Mission-Oriented Architectural Legacy Evolution. In Proc. International Conference on Software Maintenance, Bari, Italy, 1997. [PDF]

    Sambasiva Bhatta & Ashok Goel. A Functional Theory of Design Patterns. In Proc. 15th International Joint Conference on Artificial Intelligence (IJCAI-97), Nagoya, Japan, August 1997, pp. 294-300. [PDF]

    Sambasiva Bhatta & Ashok Goel. An Analogical Theory of Creativity in Design. In Proc. 2nd International Conference on Case-Based Reasoning, Lecture Notes in Computer Science – 1266, pp. 565-574, 1997. [PDF]

    Sambasiva Bhatta & Ashok Goel. Learning Generic Mechanisms for Innovative Strategies in Adaptive Design. Journal of Learning Sciences, 6(4):367-396, 1997. [PDF]

    Ashok Goel. Design, Analogy and Creativity. IEEE Intelligent Systems, Special Issue on Qualitative Reasoning, 12(3):62-70, May/June 1997.  [PDF]

    Ashok Goel, Sambasiva Bhatta & Eleni Stroulia. Kritik: An Early Case-Based Design System. In Issues and Applications of Case-Based Reasoning in Design, M. Maher and P. Pu (editors), Mahwah, NJ: Erlbaum, pages 87-132, 1997. [PDF]

    Ashok Goel & J. Ramanujam. A Neural Architecture for a Class of Abduction Problems. IEEE Transactions on Systems, Man and Cybernetics, 26(6):854-860, 1997. [pdf]

    Eleni Stroulia & Ashok Goel. Redesigning a Problem-Solver’s Operators to Improve Solution Quality. In Proc. 15th International Joint Conference on Artificial Intelligence (IJCAI-97), Nagoya, Japan, August 1997, pp. 562-567. [PDF]

    1996

    Eleni Stroulia & Ashok Goel. Artificial Intelligence for Engineering, Design, Analysis and Manufacturing. Cambridge Press , September 1996, pp 355-370. 

    Sambasiva R. Bhatta and Ashok K. Goel. From design experiences to generic mechanisms: Model-based learning in analogical design. Artif. Intell. Eng. Des. Anal. Manuf. 10(2): 131-136 (1996). [PDF]

    Salil Prabhakar and Ashok K. Goel. Learning about novel operating environments: Designing by adaptive modelling. Artif. Intell. Eng. Des. Anal. Manuf. 10(2): 151-156 (1996).

    Ashok K. Goel and Eleni Stroulia. Functional device models and model-Based diagnosis in adaptive design. Artif. Intell. Eng. Des. Anal. Manuf. 10(4): 355-370 (1996).

    Ashok K. Goel and J. Ramanujam. A neural architecture for a class of abduction problems. IEEE Trans. Syst. Man Cybern. Part B 26(6): 854-860 (1996). [PDF]

    Eleni Stroulia and Ashok K. Goel. A Model-Based Approach to Blame Assignment: Revising the Reasoning Steps of Problem Solvers. AAAI/IAAI, Vol. 2 1996: 959-964. [PDF]

    Ashok K. Goel and J. William Murdock. Meta-Cases: Explaining Case-Based Reasoning. EWCBR 1996: 150-163. [PDF]

    Ashok K. Goel, Andres Gomez de Silva Garza, Nathalie Grue, J. William Murdock, Margaret M. Recker and T. Govindaraj. Towards Design Learning Environments – I: Exploring How Devices Work. Intelligent Tutoring Systems 1996: 493-501. [PDF]

    1995

    Eleni Stroulia and Ashok K. Goel. Functional representation and reasoning for reflective systems. Appl. Artif. Intell. 9(1): 101-124 (1995). [PDF]

    William F. Punch, Ashok K. Goel, and David C. Brown. A Knowledge-Based Selection Mechanism for Strategic Control with Application in Design, Diagnosis and Planning. Int. J. Artif. Intell. Tools 4(3): 323-348 (1995).

    Ashok K. Goel, John R. Josephson, Olivier Fischer, and P. Sadayappan. Practical abduction: characterization, decomposition and concurrency. J. Exp. Theor. Artif. Intell. 7(4): 429-450 (1995). [PDF]

    1994

    Ashok K. Goel. 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.

    Sambasiva R. Bhatta and Ashok K. Goel. Discovery of physical principles from design experiences. Artif. Intell. Eng. Des. Anal. Manuf. 8(2): 113-123 (1994). [PDF]

    Ashok K. Goel, Khaled S. Ail, Michael W. Donnellan, Andrés Gómez de Silva Garza, and Todd J. Callantine. Multistrategy Adaptive Path Planning. IEEE Expert 9(6): 57-65 (1994).

    Justin Peterson, Kavi Mahesh, and Ashok K. Goel. Situating natural language understanding within experience-based design. Int. J. Hum. Comput. Stud. 41(6): 881-913 (1994). [PDF]

    Eleni Stroulia and Ashok K. Goel. Learning Problem-Solving Concepts by Reflecting on Problem Solving. ECML 1994: 287-306. [PDF]

    Eleni Stroulia, Ashok K. Goel. Reflective, Self-Adaptive Problem Solvers. EKAW 1994: 394-413.

    1993

    B. Chandrasekaran, Ashok K. Goel, and Yumi Iwasaki. Functional Representation as Design Rationale. Computer 26(1): 48-56 (1993). [PDF]

    Ashok K. Goel, Michael W. Donnellan, Nancy Vazquez, and Todd J. Callantine. An Integrated Experience-Based Approach to Navigational Path Planning for Autonomous Mobile Robots. ICRA (1) 1993: 818-825. [PDF]

    1992

    Ashok K. Goel. Integrating Case-Based and Model-Based Reasoning: A Computational Model of Design Problem Solving. AI Mag. 13(2): 50-54 (1992). [PDF]

    Michael Pearce, Ashok K. Goel, Janet L. Kolodner, Craig Zimring, Lucas Sentosa, and Richard Billington. Case-Based Design Support: A Case Study in Architectural Design. IEEE Expert 7(5): 14-20 (1992).

    Ashok K. Goel and Todd J. Callantine. An Experience-based Approach To Navigational Route Planning. IROS 1992: 705-710.

    1991

    Ashok K. Goel, Ronald C. Arkin, Kurt P. Eiselt, Janet L. Kolodner, Daryl T. Lawton, and Ashwin Ram. Basic Artificial Intelligence Research at the Georgia Institute of Technology. AI Mag. 12(2): 17-32 (1991). [PDF]

    Olivier Fischer, Ashok K. Goel, John R. Svirbely, and Jack W. Smith. The role of essential explanation in abduction. Artif. Intell. Medicine 3(4): 181-191 (1991).

    Ashok K. Goel, Tom Bylander, B. Chandrasekaran, Thomas G. Dietterich, Richard M. Keller, and Chris Tong. Knowledge Compilation: A Symposium. IEEE Expert 6(2): 71-93 (1991).

    Tom Bylander, Todd R. Johnson, and Ashok K. Goel. Structured matching: a task-specific technique for making decisions. Knowl. Acquis. 3(1): 1-20 (1991).

    Ashok K. Goel and Kurt P. Eiselt. Mental Models, Text Interpretation, and Knowledge Acquisition. SIGART Bull. 2(4): 75-78 (1991). [PDF]

    John F. Kolen and Ashok K. Goel. Learning in parallel distributed processing networks: Computational complexity and information content. IEEE Trans. Syst. Man Cybern. 21(2): 359-367 (1991).

    N. Misra and Ashok K. Goel. Implementation of fault-tolerant sequential circuits using programmable logic arrays. Great Lakes Symposium on VLSI 1991: 128-131.

    Wei Xu and Ashok K. Goel. Modeling of the transverse delays in modulation-doped heterojunction field-effect transistors. Great Lakes Symposium on VLSI 1991: 328-329.

    Ashok K. Goel and Fritz L. Schuermeyer. ‘NCHIPSIM’-a microcomputer simulator of NMOS chip performance indicators. Great Lakes Symposium on VLSI 1991: 332-333.

    A. N. Gupte and Ashok K. Goel. Study of quaternary logic versus binary logic. Great Lakes Symposium on VLSI 1991: 336-337.

    Ashok K. Goel. Model Revision: A Theory of Incremental Model Learning. ML 1991: 605-609.

    Ashok K. Goel. Representation of Design Functions in Experience-Based Design. IntCAD 1991: 283-308.

    1980 – 1989

    Ashok K. Goel and Tom Bylander. Computational Feasibility of Structured Matching. IEEE Trans. Pattern Anal. Mach. Intell. 11(12): 1312-1316 (1989).

    Tom Bylander, Todd R. Johnson, and Ashok K. Goel. Structured matching: a task-specific technique for making decisions. TAI 1989: 138-145.

    Ashok K. Goel and B. Chandrasekaran. Functional Representation of Designs and Redesign Problem Solving. IJCAI 1989: 1388-1394. [PDF]


    Balakrishnan Chandrasekaran, Ashok K. Goel, and Dean Allemang. Connectionism and Information Processing Abstractions. AI Mag. 9(4): 24-34 (1988). [PDF]

    B. Chandrasekaran and Ashok K. Goel. From numbers to symbols to knowledge structures: artificial intelligence perspectives on the classification task. IEEE Trans. Syst. Man Cybern. 18(3): 415-424 (1988).

    Ashok K. Goel, J. Ramanujam, and P. Sadayappan. Towards a ‘neural’ architecture for abductive reasoning. ICNN 1988: 681-688.

    Ashok K. Goel, Neelam Soundararajan, and B. Chandrasekaran. Complexity in Classificatory Reasoning. AAAI 1987: 421-425. [PDF]

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