Titlebook: Anticipatory Learning Classifier Systems; Martin V. Butz Book 2002 Springer Science+Business Media New York 2002 agents.algorithms.behavio

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Experiments with ACS2,oo weak, which would result in a larger, still over-specialized population. It is examined if the GA is able to overcome the observed over-specialization. Does the GA result in an evolution of accurate, maximally general classifiers in the population and further, does the GA cause a convergence to the aspired classifiers?

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Limits,remedy the possibly occurring over-specializations in the ALP. The result was a decrease in population size and model size and a consequent decrease in computation time and the evolution of an even better environmental model. Moreover, the reinforcement learning capabilities of ACS2 were shown in the multiplexer and the maze environment.

愉快么

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ureter

Book 2002hat autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory adaptive behavior. ..Anticipatory Learning Classifier Systems. highlights how anticipation

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1568-2587 ons, and adaptive behavior beyond reinforcement learning. ..Anticipatory Learning Classifier Systems. gives a detailed algorithmic description as well as a prog978-1-4613-5290-7978-1-4615-0891-5Series ISSN 1568-2587

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