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.
Tag: Sambasiva Bhatta
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.
Model-Based Analogy in Innovative Device Design
Sambasiva Bhatta. Model-Based Analogy in Innovative Device Design. Ph.D. Dissertation, College of Computing, Georgia Institute of Technology, June 1995.
Innovation in Analogical Design: A Model-Based Approach
Sambasiva Bhatta, Ashok Goel & Sattiraju Prabhakar. Innovation in Analogical Design: A Model-Based Approach. In Artificial Intelligence in Design – 1994, J. Gero and F. Sudweeks (editors), Boston, MA: Kluwer Academic Press, 1994; pp. 57-74.
Model-Based Discovery of Physical Principles from Design Experiences
Sambasiva Bhatta & Ashok Goel. Model-Based Discovery of Physical Principles from Design Experiences. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Special Issue on Machine Learning in Design, 8(2):113-123, May 1994.
Learning Generic Mechanisms from Experiences for Analogical Reasoning
Sambasiva Bhatta & Ashok Goel. Learning Generic Mechanisms from Experiences for Analogical Reasoning. In Proc. 15th Cognitive Science Society, Boulder, Colorado, July 1993, Hillsdale, NJ: Lawrence Erlbaum.
Integrating Artificial Intelligence and Multimedia Technologies for Interface Design Advising
John Barber, Mark Jacobson, Louise Penberthy, Robert Simpson, Sambasiva Bhatta, Ashok Goel, Michael Pearce, Murali Shankar & Eleni Stroulia. Integrating Artificial Intelligence and Multimedia Technologies for Interface Design Advising. NCR Journal of Research and Development, 6(1):75-85, October 1992.