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Social aggregations in evolving neural networks

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Artificial Social Systems (MAAMAW 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 830))

Abstract

Sociality is related to space because it can only develop inside spatial aggregations of individuals that can physically interact with each other. We present simulations of populations of simple organisms living together in the same environment. The simulations use genetic algorithms to model the evolution of neural networks behaving in the environment. Spatial aggregations emerge evolutionarily (a) as an indirect by-product of the spatial distribution of resources in the environment and of the actions of the organisms on these resources, (b) as an advantageous adaptation of living inside social groups that function as “information centers”, (c) as a pre-condition for learning from others.

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Authors and Affiliations

  1. Institute of Psychology, National Research Council, Rome

    Domenico Parisi, Ugo Piazzalunga, Federico Cecconi & Daniele Denaro

Authors
  1. Domenico Parisi
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  2. Ugo Piazzalunga
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  3. Federico Cecconi
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  4. Daniele Denaro
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Editor information

Cristiano Castelfranchi Eric Werner

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© 1994 Springer-Verlag Berlin Heidelberg

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Parisi, D., Piazzalunga, U., Cecconi, F., Denaro, D. (1994). Social aggregations in evolving neural networks. In: Castelfranchi, C., Werner, E. (eds) Artificial Social Systems. MAAMAW 1992. Lecture Notes in Computer Science, vol 830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58266-5_3

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  • DOI: https://doi.org/10.1007/3-540-58266-5_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58266-3

  • Online ISBN: 978-3-540-48589-6

  • eBook Packages: Springer Book Archive

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