Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Classifier fitness based on accuracy
Evolutionary Computation
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This paper describes how a group of agents can anticipate the possible changes within a virtual environment, than this concept the actors explore and adapts to the environment, thanks to mechanisms of evolution and adaptation, that provide the genetic algorithms and the classifier systems, with this capacity to learning and take one action by resolve a problem or change his objectifies. The main idea of the anticipation is based on the acquisition of knowledge of events happened in the environment of the past, later to compare them with the actions that appear in the present, in a time specify. The events of the past to like learning and make the calculus and the interpolating with the actions that happen in the present, this way to be able to make all the calculations necessary to be able to anticipate the possible changes in the environment [Hoffmann, J (1993)].