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Evolution with Learning Adaptive Functions

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1585))

Abstract

In this paper, we consider a society of economic agents. Economic agents are defined as autonomous software entities equipped with the adaptive functions. They have their own adaptive functions defined over the market which is governed with the market mechanism. We especially focus the evolutional explanation on how the social competence that provides the motivation for the coordinated behavior can be emerged from the interactions guided by the selfish behaviors of economic agents. Especially we need to understand the following basic issues how get the architecture of an agent, as a component of a complex system, suited for evolution, how self-interested behaviors evolve to coordinated behaviors, and how the structure of each goal (adaptive) function can be modified for globally coordinated behaviors. We also show that the concept of sympathy becomes a fundamental element for adaptation and coordinated behavior.

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© 1999 Springer-Verlag Berlin Heidelberg

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Ishinishi, M., Namatame, A. (1999). Evolution with Learning Adaptive Functions. In: McKay, B., Yao, X., Newton, C.S., Kim, JH., Furuhashi, T. (eds) Simulated Evolution and Learning. SEAL 1998. Lecture Notes in Computer Science(), vol 1585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48873-1_22

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  • DOI: https://doi.org/10.1007/3-540-48873-1_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65907-5

  • Online ISBN: 978-3-540-48873-6

  • eBook Packages: Springer Book Archive

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