January 15, 2009- Ashok Goel presented DILAB’s work on biologically inspired design to the NSF CreativeIT PI Workshop in Washington, DC. A link to Ashok’s talk, “Creative Analogies: Learning About and Learning Through Biologically Inspired Design,” is available here.
Author Archive: LabManager
Paper accepted to 2010 IMFAR Conference
February 22, 2010- The following has been accepted for presentation to the 2010 IMFAR conference:
Maithilee Kunda, Keith McGreggor & Ashok Goel. Can the Raven’s Progressive Matrices Intelligence Test be Solved by Thinking in Pictures? To be presented to the Tenth Annual International Meeting for Autism Research (IMFAR-2010), Philadelphia, May 2010.
From Design Cases to Generic Mechanisms
Analogical reasoning plays an important role in design. In particular, cross-domain analogies appear to be important in innovative and creative design. However, making cross-domain analogiesis hard and often requires abstractions common to the source and target domains. Recent work in case-based design suggests that generic mechanisms are one type of abstractions useful in adapting past designs. However, one important yet unexplored issue is where these generic mechanisms come from. We hypothesize that they are acquired incrementally from design experiences in familiar domains by generalization over patterns of regularity. Three important issues in generalization from experiences are what to generalize from an experience, how far to generalize, and what methods to use. In this paper, we describe how structure-behaviorfunction models of designs in a familiar domain provide the content, and togetherwith the problem-solving context in which learning occurs, also provide the constraints for learning generic mechanismsfrom design experiences. In particular, we describe the model-based learning method with a scenario of learning of feedback mechanism.
Design Explanations in Interactive Design Environments
Ashok Goel, Andres Gomez, Nathalie Grue, William Murdock, Margaret Recker & T. Govindaraj. Design Explanations in Interactive Design Environments. In Artificial Intelligence in Design – 1996, J. Gero and F. Sudweeks (editors), Boston, MA: Kluwer Academic Press, 1996.
Meta-Cases: Explaining Case-Based Reasoning
Ashok Goel & William Murdock. Meta-Cases: Explaining Case-Based Reasoning. In Lecture Notes in Artificial Intelligence 1168: Advances in Case-Based Reasoning, Ian Smith and Boi Faltings (editors), Berlin: Springer-Verlag, 1996.
Functional Device Models and Model-Based Diagnosis in Adaptive Design
Ashok Goel & Eleni Stroulia. Functional Device Models and Model-Based Diagnosis in Adaptive Design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Special Issue on Functional Representation and Reasoning, 10:355-370, 1996.
Learning about Novel Operating Environments: Designing by Adaptive Modelling
Sattiraju Prabhakar & Ashok Goel. Learning about Novel Operating Environments: Designing by Adaptive Modelling. Artificial Intelligence in Engineering Design, Analysis and Manufacturing, Special Issue on Machine Learning, 10:136-142, 1996.
Model-Based Indexing and Index Learning in Engineering Design
Sambasiva Bhatta & Ashok Goel. Model-Based Indexing and Index Learning in Engineering Design. International Journal of Engineering Applications of Artificial Intelligence, Special issue on Machine Learning in Engineering, 9(6):601-610, December 1996.
Combining Navigational Planning and Reactive Control
Khaled Ali & Ashok Goel. Combining Navigational Planning and Reactive Control. In Proc. AAAI-96 Workshop on Reasoning About Planning, Acting and Control, Portland, August 1996, pp: 1-7.
A Model-Based Approach to Blame Assignment: Revising the Reasoning Steps of Problem Solvers
Eleni Stroulia & Ashok Goel. A Model-Based Approach to Blame Assignment: Revising the Reasoning Steps of Problem Solvers. In Proc. National Conference on Artificial Intelligence (AAAI-96), Portland, Oregon, August 1996.