Title :
Evolving Parameters for Xpilot Combat Agents
Author :
Parker, Gary B. ; Parker, Matt
Author_Institution :
Comput. Sci., Connecticut Coll., New London, CT
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;
Conference_Titel :
Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0709-5
DOI :
10.1109/CIG.2007.368104
