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2005
IEEE

Evolution and prioritization of survival strategies for a simulated robot in Xpilot

9 years 4 months ago
Evolution and prioritization of survival strategies for a simulated robot in Xpilot
Simulated evolution by the use of Genetic Algorithms (GA) is presented as the solution to a twofaceted problem: the challenge for an autonomous agent to learn the reactive component of multiple survival strategies, while simultaneously determining the relative importance of these strategies as the agent encounters changing multivariate obstacles. The agent’s ultimate purpose is to prolong its survival; it must learn to navigate its space avoiding obstacles while engaged in combat with an opposing agent. The GA learned rule-based controller significantly improved the agent’s survivability in the hostile Xpilot environment.
Gary B. Parker, Timothy S. Doherty, Matt Parker
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2005
Where CEC
Authors Gary B. Parker, Timothy S. Doherty, Matt Parker
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