DocumentCode
2716148
Title
Evolving Parameters for Xpilot Combat Agents
Author
Parker, Gary B. ; Parker, Matt
Author_Institution
Comput. Sci., Connecticut Coll., New London, CT
fYear
2007
fDate
1-5 April 2007
Firstpage
238
Lastpage
243
Abstract
In this paper we present a new method for evolving autonomous agents that are competitive in the space combat game Xpilot. A genetic algorithm is used to evolve the parameters related to the sensitivity of the agent to input stimuli and the agent´s level of reaction to these stimuli. The resultant controllers are comparable to the best hand programmed artificial Xpilot bots, are competitive with human players, and display interesting behaviors that resemble human strategies.
Keywords
computer games; genetic algorithms; software agents; Xpilot combat agents; autonomous agents; genetic algorithm; space combat game Xpilot; Autonomous agents; Computer science; Games; Genetic algorithms; Graphics; Humans; Keyboards; Marine vehicles; Network servers; Testing; Autonomous Agent; Control; Genetic Algorithm; Xpilot; Xpilot-AI;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0709-5
Type
conf
DOI
10.1109/CIG.2007.368104
Filename
4219049
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