Martin V. Butz
Anticipatory Learning Classifier Systems - Genetic Algorithms and Evolutionary Computation Martin V. Butz Softcover Reprint of the Original 1st Ed. 2002 edition

Name: Anticipatory Learning Classifier Systems - Genetic Algorithms and Evolutionary Computation
Price: 17045 JPY
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Author: Martin V. Butz

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Hardcover Book

2002 edition

(2002) ¥ 17.045

Anticipatory Learning Classifier Systems - Genetic Algorithms and Evolutionary Computation

Martin V. Butz

Softcover Reprint of the Original 1st Ed. 2002 edition

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 program documentation of a C++ implementation of the system.

172 pages, biography

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	2012年11月5日
ISBN13	9781461352907
出版社	Springer-Verlag New York Inc.
ページ数	172
寸法	156 × 234 × 10 mm · 290 g
言語	英語