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Evolving Robocode Tank Fighters

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.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/6731
Date28 October 2003
CreatorsEisenstein, Jacob
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
Format24 p., 963754 bytes, 653698 bytes, application/postscript, application/pdf
RelationAIM-2003-023

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