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Evolution of ultrasimple virtual robots

Dan Ashlock, Janet Walker, James H. Oliver

发表年份
2002
引用次数
4

摘要

A genetic algorithm is presented to design virtual robots that perform a variety of different tasks. In all cases the robots are attempt to locate radiative sources. The fitness heuristic, number of sources, and boundary types of the world are varied. In all cases the genetic algorithm produced working designs. Designs are significantly specialized for the varied environments.

关键词

RobotGenetic algorithmVariety (cybernetics)HeuristicComputer scienceBoundary (topology)Artificial intelligenceHuman–computer interactionSimulationMachine learning

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