Evolving Robocode Tank Fighters

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6731

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DC Field	Value	Language
dc.creator	Eisenstein, Jacob	-
dc.date	2004-10-08T20:43:03Z	-
dc.date	2004-10-08T20:43:03Z	-
dc.date	2003-10-28	-
dc.date.accessioned	2013-10-09T02:46:34Z	-
dc.date.available	2013-10-09T02:46:34Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-2003-023	-
dc.identifier	http://hdl.handle.net/1721.1/6731	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	In this paper, I describe the application of genetic programming to evolve a controller for a robotic tank in a simulated environment. The purpose is to explore how genetic techniques can best be applied to produce controllers based on subsumption and behavior oriented languages such as REX. As part of my implementation, I developed TableRex, a modification of REX that can be expressed on a fixed-length genome. Using a fixed subsumption architecture of TableRex modules, I evolved robots that beat some of the most competitive hand-coded adversaries.	-
dc.format	24 p.	-
dc.format	963754 bytes	-
dc.format	653698 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-2003-023	-
dc.subject	AI	-
dc.subject	genetic programming	-
dc.subject	robotics	-
dc.title	Evolving Robocode Tank Fighters	-
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