Georgia Institute of TechnologyResearch
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Research

  • Cognitive science: Understanding how analogy works (more specifically, Ashok, Mike and I are developing the theory of compound analogy).
  • Artificial intelligence: Knowledge representation and reasoning techniques for creative problem-solving using analogy, large-scale case-based reasoning, behavior patterns as bridges between conceptual representations and agent-based simulations, machine learning techniques for engineering design.
  • Design research: Cognitive studies of complex design, creativity and innovation in design, biologically inspired design, design knowledge management.
  • Learning sciences: External representations to aid complex systems understanding, foundations of technology support for design-based learning.
The above threads of my research are unified by the complimentary goals of trying to (1) achieve a better understanding of human cognition in computational terms, (2) build computational systems that try to match human cognitive abilities and (3) create knowledge tools and technologies that augment and amplify human cognition.


Selected Publications

Helms, M., Vattam, S. & Goel, A. K. (to appear) Biologically Inspired Design: Products and Processes. Design Studies.

Vattam, S., Helms, M. & Goel, A. (2008) Compound Analogical Design: Interaction Between Problem Decomposition and Analogical Transfer in Biologically Inspired Design. In Proc. Third International Conference on Design Computing and Cognition, Atlanta, June 2008, Berlin:Springer, pp. 377-396.

Helms, M., Vattam, S. & Goel, A. (2008) Compound Analogical Design, or How to Make a Surfboard Disappear. In B.C. Love, K. McRae, & V.M. Sloutsky (Eds.) Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 781 – 786), Washington D.C.:Cognitive Science Society.

Goel, A., Vattam, S. & Rugaber, S. (to appear) Structure, Behavior & Function of Complex Systems: The SBF Modeling Language. International Journal of AI in Engineering Design, Analysis and Manufacturing, Special Issue on Developing and Using Engineering Ontologies.

Vattam, S. & Kolodner, J. L. (2008) On foundations of technological support for addressing challenges facing design-based science learning, Pragmatics & Cognition, 16:2, pp. 406-437.

All Publications



Last modified 10 August 2009 at 7:50 am by svattam