Cognitive Models and Computational Tools
Biologically inspired design engages cross-domain analogies between biological and technological systems since design principles
useful to a technological problem must be derived from a similar problem in the biological world. We do not yet fully understand how
expert and novice designers and biologists make these interdisciplinary analogies. Thus, we conduct cognitive studies to understand
the cognitive and social processes underlying biologically inspired design and design learning. The results of these studies are
information-processing theories of analogies in biologically inspired design, methods for analyzing and modeling biological and
technological systems, knowledge representations for capturing understanding of biological and technological systems, as well as
interactive tools for supporting the practice and learning of biologically inspired design.
These computational theories, techniques, and tools have had a profound impact on the teaching and learning of biologically inspired design at Georgia Tech.
Computational Tools for Enhancing Creativity in Biologically Inspired Engineering Design | NSF Intelligent Information Systems | PI Ashok Goel leads a team of biologists, engineers, and computer scientists to develop human-centered computational tools to enhance innovation and creativity in BID. This effort will conduct cognitive studies and develop computational models of creative analogical reasoning in BID.