Biologically inspired engineering design is an approach to design that espouses the adaptation of functions and mechanisms in biological sciences to solve engineering design problems. We have conducted an in situ study of designers engaged in biologically inspired design. Based on this study we develop here a macrocognitive information-processing model of biologically inspired design. We also compare and contrast the model with other information-processing models of analogical design such as TRIZ, case-based design, and design patterns.
Recent News
Ashok Goel: CogSci 2022
Sungeun An: Presentation at The 23rd International Conference on Artificial Intelligence in Education.
Sungeun An: Presentation at ITS (Intelligence Tutoring System) 2022 conference
Faces of Research: Meet Ashok Goel
XPrize has selected Georgia Tech’s Veritas team for the round of 10 teams in the Digital Learning Challenge