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A Simple Artificial Chemistry Model for Nash Equilibria Detection in Large Cournot Games

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Hybrid Artificial Intelligent Systems (HAIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7209))

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Abstract

A simple Artificial Chemistry model designed for computing Nash Equilibria for continuous games called Artificial Chemistry for Nash Equilibria (ACNE) is proposed. ACNE uses elementary reactions between strategy profiles of a noncooperative game with a generative relation for Nash Equilibria in order to solve noncooperative games. Experimental results indicating the potential of the new proposed method are performed on Cournot oligopolies for up to 1000 players and compared with those obtained by other methods.

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Author information

Authors and Affiliations

  1. Babeş-Bolyai University, Cluj Napoca, Romania

    Rodica Ioana Lung & Lucian Sturzu-Năstase

Authors
  1. Rodica Ioana Lung
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  2. Lucian Sturzu-Năstase
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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  2. VŠB-TU Ostrava 17, Listopadu 15, 70833, Ostrava, Czech Republic

    Václav Snášel

  3. Machine Intelligence Research Labs Machine Intelligence Research Labs(MIR Labs),, Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071, Auburn, Washington, USA

    Ajith Abraham

  4. Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  5. University of the Basque Country, Pº Manuel Lardizabal 1, 20018, San Sebastian, Spain

    Manuel Graña

  6. Yonsei University, 134 Shinchon-dong, 120-749, Sudaemoon-ku, Seoul, Korea

    Sung-Bae Cho

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© 2012 Springer-Verlag Berlin Heidelberg

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Lung, R.I., Sturzu-Năstase, L. (2012). A Simple Artificial Chemistry Model for Nash Equilibria Detection in Large Cournot Games. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28931-6_34

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  • DOI: https://doi.org/10.1007/978-3-642-28931-6_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28930-9

  • Online ISBN: 978-3-642-28931-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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