Husbands, P, Harvey, I, Cliff, D and Miller, G (1997) Artificial evolution: a new path for Artificial Intelligence? Brain and Cognition, 34 (1). pp. 130-159. ISSN 0278-2626

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Abstract

Recently there have been a number of proposals for the use of artificial evolution as a radically new approach to the development of control systems for autonomous robots. This paper explains the artificial evolution approach, using work at Sussex to illustrate it. The paper revolves around a case study on the concurrent evolution of control networks and visual sensor morphologies for a mobile robot. Wider intellectual issues surrounding the work are discussed, as is the use of more abstract evolutionary simulations as a new potentially useful tool in theoretical biology.

Item Type:	Article
Schools and Departments:	School of Engineering and Informatics > Informatics
Depositing User:	Phil Husbands
Date Deposited:	06 Feb 2012 18:42
Last Modified:	27 Mar 2012 10:47
URI:	http://sro.sussex.ac.uk/id/eprint/17859

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