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Evolving Robocode Tank Fighters

dc.date.accessioned2005-12-22T01:12:20Z
dc.date.accessioned2018-11-24T10:23:57Z
dc.date.available2005-12-22T01:12:20Z
dc.date.available2018-11-24T10:23:57Z
dc.date.issued2003-10-28
dc.identifier.urihttp://hdl.handle.net/1721.1/30431
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/30431
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-lengthgenome. Using a fixed subsumption architecture of TableRex modules, I evolved robots that beat some of the most competitive hand-coded adversaries.
dc.format.extent24 p.
dc.format.extent21707085 bytes
dc.format.extent716288 bytes
dc.language.isoen_US
dc.subjectAI
dc.subjectgenetic programming
dc.subjectrobotics
dc.titleEvolving Robocode Tank Fighters


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