Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
Parameterizable Fonts Based on Shape Components
IEEE Computer Graphics and Applications
Creative Mind: Myths and Mechanisms
Creative Mind: Myths and Mechanisms
Journal of the American Society for Information Science and Technology
The anatomy of prototypes: Prototypes as filters, prototypes as manifestations of design ideas
ACM Transactions on Computer-Human Interaction (TOCHI)
Learning symbolic formulations in design: Syntax, semantics, and knowledge reification
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Towards a computational model of creative societies using curious design agents
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
The Design of Everyday Things
IEEE Transactions on Evolutionary Computation
The knowns and unknowns in research
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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This paper interprets the concept of biologically inspired design as understanding design based on the biological evidence. Borrowing its concept of design competence from Chomsky's definition of linguistic competence, the paper reviews biological evidence from fields including evolution, genetics, and animal behavior from the perspective of design research to propose that design competence is the product of an evolutionary history during which five key developments in cognitive evolution came together: conception unbounded by sensory perception, symbolic manipulation at a level of metarepresentation, theory of mind, curiosity, and mental time travel. These cognitive capabilities were derived from the biological evidence based upon the criteria that they are presumed to be unique to humans (Homo sapiens), they may be lost because of neurodegenerative diseases or they may fail to develop because of neurodevelopmental disorders, and they are not immediately present upon birth and develop as a child's brain matures. Based on these five capabilities, the paper concludes by discussing how computation may provide a useful way to understand the origins and evolution of design competence.