Grounded knowledge representations for biologically inspired design
Year: 2013
Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author: Helms, Michael; Goel, Ashok
Series: ICED
Institution: Design & Intelligence Laboratory, School of Interactive Computing, and Center for Biologically Inspired Design, Georgia Institute of Technology, United States of America
Page(s): 351-360
ISBN: 978-1-904670-49-0
ISSN: 2220-4334
Abstract
Over the last decade or so, biologically inspired design has emerged as a major paradigm in engineering design. In our work on biologically inspired design we generate grounded descriptive accounts of design, which then scaffold explanatory models of biologically inspired design processes. In this paper we use Structure-Behavior-Function (SBF) representations as a “conceptual seed” to develop a knowledge representation called SR.BID that can capture complex problem-solution relationships in biologically inspired design. The evolution of SR.BID (for Structured Representations for Biologically Inspired Design) from SBF is grounded in empirical data gathered in a classroom biologically inspired design context. SR.BID empowers us to more deeply study the breadth of processes entailed by biologically inspired design including the use of biological analogies for both solution generation and problem formulation. This paper explains in detail the process of building the content account of SR.BID, and provides a glimpse into the utility of the representation..
Keywords: Design cognition, biomemetics, design theory, analogical design, problem-solution coevolution