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Part of the book series: Genetic Algorithms and Evolutionary Computation ((GENA,volume 4))

Abstract

The background chapter illustrated an important cognitive aspect of the current knowledge about learning. The insight of the presence and importance of anticipations in animals and man leads to the conclusion that it is mandatory to represent and learn anticipations also in animats. Furthermore, once this task is accomplished, it is necessary to investigate how the usefulness of anticipations can be exploited by the animat. The development of such a system and the exploitation of the anticipations in the resulting system is the enterprise of the remainder of this book.

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© 2002 Springer Science+Business Media New York

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Butz, M.V. (2002). ACS2. In: Anticipatory Learning Classifier Systems. Genetic Algorithms and Evolutionary Computation, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0891-5_2

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  • DOI: https://doi.org/10.1007/978-1-4615-0891-5_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5290-7

  • Online ISBN: 978-1-4615-0891-5

  • eBook Packages: Springer Book Archive

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