Quarterly (winter, spring, summer, fall)
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7 x 10, illustrated
ISSN
1064-5462
E-ISSN
1530-9185
2014 Impact factor:
1.39

Artificial Life

Winter-Spring 2005, Vol. 11, No. 1-2, Pages 79-98
(doi: 10.1162/1064546053278991)
© 2005 Massachusetts Institute of Technology
Evolutionary Robotics: A New Scientific Tool for Studying Cognition
Article PDF (1.12 MB)
Abstract

We survey developments in artificial neural networks, in behavior-based robotics, and in evolutionary algorithms that set the stage for evolutionary robotics (ER) in the 1990s. We examine the motivations for using ER as a scientific tool for studying minimal models of cognition, with the advantage of being capable of generating integrated sensorimotor systems with minimal (or controllable) prejudices. These systems must act as a whole in close coupling with their environments, which is an essential aspect of real cognition that is often either bypassed or modeled poorly in other disciplines. We demonstrate with three example studies: homeostasis under visual inversion, the origins of learning, and the ontogenetic acquisition of entrainment.