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Evolving Robocode Tank Fighters

dc.date.accessioned2004-10-08T20:43:03Z
dc.date.accessioned2018-11-24T10:21:41Z
dc.date.available2004-10-08T20:43:03Z
dc.date.available2018-11-24T10:21:41Z
dc.date.issued2003-10-28en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6731
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6731
dc.description.abstractIn 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.en_US
dc.format.extent24 p.en_US
dc.format.extent963754 bytes
dc.format.extent653698 bytes
dc.language.isoen_US
dc.subjectAIen_US
dc.subjectgenetic programmingen_US
dc.subjectroboticsen_US
dc.titleEvolving Robocode Tank Fightersen_US


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