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

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樓主
發(fā)表于 2025-3-21 19:48:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Anticipatory Learning Classifier Systems
影響因子2023Martin V. Butz
視頻videohttp://file.papertrans.cn/159/158517/158517.mp4
學(xué)科分類Genetic Algorithms and Evolutionary Computation
圖書封面Titlebook: Anticipatory Learning Classifier Systems;  Martin V. Butz Book 2002 Springer Science+Business Media New York 2002 agents.algorithms.behavio
影響因子.Anticipatory Learning Classifier Systems. describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that 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 anticipations influence cognitive systems and illustrates the use of anticipations for (1) faster reactivity, (2) adaptive behavior beyond reinforcement learning, (3) attentional mechanisms, (4) simulation of other agents and (5) the implementation of a motivational module. The book focuses on a particular evolutionary model learning mechanism, a combination of a directed specializing mechanism and a genetic generalizing mechanism. Experiments show that anticipatory adaptive behavior can be simulated by exploiting the evolving anticipatory model for even faster model learning, planning applications, and adaptive behavior beyond reinforcement learning. ..Anticipatory Learning Classifier Systems. gives a detailed algorithmic description as well as a prog
Pindex Book 2002
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發(fā)表于 2025-3-21 22:48:51 | 只看該作者
Der hocherhabene mystische Herrschers as well as were able to further increase model learning performance and adaptivity. Model exploitation also showed the distinct adaptive behavior capabilites of the system. All in all, the last chapters provided a unified few of the functioning, capabilities, and limits of the current ACS2 system.
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1568-2587 systems that 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 an
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https://doi.org/10.1007/978-3-0348-5272-2oo 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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發(fā)表于 2025-3-23 01:51:18 | 只看該作者
Der hocherhabene mystische Herrscherhile. Although the interaction is unsupervised, the resulting state after the execution of an action can be viewed as a supervision, so that the model learning mechanism might be termed .. After a summary of the presented work, this chapter concludes the book with a discussion of possible future work with ACS2.
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