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it is not evolution, but a better game would need a better agent

Published online by Cambridge University Press:  26 September 2005

christian huyck
Affiliation:
middlesex university, hendon, london nw4 4bt, united kingdomc.huyck@mdx.ac.uk http://www.cwa.mdx.ac.uk/chris i.mitchell@mdx.ac.uk http://www.cs.mdx.ac.uk/staffpages/ianm
ian mitchell
Affiliation:
middlesex university, hendon, london nw4 4bt, united kingdomc.huyck@mdx.ac.uk http://www.cwa.mdx.ac.uk/chris i.mitchell@mdx.ac.uk http://www.cs.mdx.ac.uk/staffpages/ianm

Abstract

steels & belpaeme (s&b) refer to the neural plausibility and evolutionary plausibility of their algorithms. although this is not central to their goal of effective artificial agents, their algorithms are not neurally or evolutionarily plausible. their communication games are interesting, and more complex games would lead to more effective agents. however, the algorithms could be improved either by using standard subsymbolic algorithms or by algorithms that are really neurally or evolutionarily plausible.

Type
open peer commentary
Copyright
2005 cambridge university press

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