Harvey, Inman, Di Paolo, Ezequiel, Wood, Rachel, Quinn, Matt and Tuci, Elio (2005) Evolutionary Robotics: a new scientific tool for studying cognition. Artificial Life, 11 (1-2). pp. 79-98. ISSN 1064-5462

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Abstract

We survey developments in Artificial Neural Networks, in Behaviour-based Robotics and Evolutionary Algorithms that set the stage for Evolutionary Robotics 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 modelled poorly in other disciplines. We demonstrate with three example studies: homeostasis under visual inversion; the origins of learning; and the ontogenetic acquisition of entrainment.

Item Type:	Article
Additional Information:	Originality: The field of Evolutionary Robotics was pioneered here at Sussex in the early 1990s, and now is an established field. This brings the field up to date summarising the distinctive approaches coming out of our Sussex group. Rigour: It critically reviews work done in both software and hardware, and explains the common themes. Significance: Review of a major body of work that now has much influence around the world. Impact: Eg the Indiana Univ Cognitive Sciences Program is now building up the US version of the Sussex group. Citations: Google Scholar 14 citations Web of Knowledge 8 citations
Schools and Departments:	School of Engineering and Informatics > Informatics
Depositing User:	Inman Harvey
Date Deposited:	06 Feb 2012 18:10
Last Modified:	12 Aug 2019 10:15
URI:	http://sro.sussex.ac.uk/id/eprint/15057

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