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Evolution of Self-interested Agents: An Experimental Study

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Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8271))

Abstract

In this paper, we perform an experimental study to examine the evolution of self-interested agents in cooperative agent societies. To this end, we realize a multiagent system in which agents initially behave altruistically by sharing information of food. After generations of a genetic algorithm, we observe the emergence of selfish agents who do not share food information. The experimental results show the process of evolving self-interested agents in resource-restrictive environments, which is observed in nature and in human society.

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Author information

Authors and Affiliations

  1. Department of Computer and Communication Sciences, Wakayama University, Sakaedani, Wakayama, 640-8510, Japan

    Naoki Yamada & Chiaki Sakama

Authors
  1. Naoki Yamada
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  2. Chiaki Sakama
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Editor information

Editors and Affiliations

  1. Department of Applied Computer Science, University of Winnipeg, R3B 2E9, Winnipeg, Manitoba, Canada

    Sheela Ramanna

  2. Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, Nova Scotia, Canada

    Pawan Lingras

  3. Faculty of Informatics, Mahasarakham University, Khamreang, 44150, Kantarawichai, Mahasarakham, Thailand

    Chattrakul Sombattheera

  4. Department of Computing, Curtin University, Perth, WA, Australia

    Aneesh Krishna

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© 2013 Springer-Verlag Berlin Heidelberg

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Yamada, N., Sakama, C. (2013). Evolution of Self-interested Agents: An Experimental Study. In: Ramanna, S., Lingras, P., Sombattheera, C., Krishna, A. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2013. Lecture Notes in Computer Science(), vol 8271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44949-9_30

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  • DOI: https://doi.org/10.1007/978-3-642-44949-9_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-44948-2

  • Online ISBN: 978-3-642-44949-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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