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Complexity of Networking - An Experimental Study of the Network Hawk Dove Game


  • Siegfried Berninghaus

    () (Karlsruhe Institute of Technology)

  • Stephan Schosser

    () (Karlsruhe Institute of Technology)

  • Bodo Vogt

    () (Faculty of Economics and Management, Otto-von-Guericke University Magdeburg)


Complexity of strategies is central for human decision making and attracted interest of different game theorists in the recent years. Nevertheless, behavioral economists have neglected the importance of complexity in their analyses. In this paper, we analyze network formation and action selection in a Hawk Dove Game with focus on complexity aspects. We conduct experiments with three variants of the game which are equivalent from a game theoretic perspective, but differ from a complexity theoretic perspective. Our results show, that complexity of decision making has an impact on the strategies played and that efficiency is higher the less complex the decision problem is.

Suggested Citation

  • Siegfried Berninghaus & Stephan Schosser & Bodo Vogt, 2011. "Complexity of Networking - An Experimental Study of the Network Hawk Dove Game," FEMM Working Papers 110024, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  • Handle: RePEc:mag:wpaper:110024

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    References listed on IDEAS

    1. Yann Bramoullé & Dunia López-Pintado & Sanjeev Goyal & Fernando Vega-Redondo, 2004. "Network formation and anti-coordination games," International Journal of Game Theory, Springer;Game Theory Society, vol. 33(1), pages 1-19, January.
    2. Neyman, Abraham, 1985. "Bounded complexity justifies cooperation in the finitely repeated prisoners' dilemma," Economics Letters, Elsevier, vol. 19(3), pages 227-229.
    3. Kalai, Ehud & Stanford, William, 1988. "Finite Rationality and Interpersonal Complexity in Repeated Games," Econometrica, Econometric Society, vol. 56(2), pages 397-410, March.
    4. Berninghaus, Siegfried K. & Ehrhart, Karl-Martin & Ott, Marion, 2012. "Forward-looking behavior in Hawk–Dove games in endogenous networks: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 75(1), pages 35-52.
    5. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    6. Pingle, Mark, 1992. "Costly optimization: an experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 17(1), pages 3-30, January.
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    Cited by:

    1. Boris van Leeuwen & Theo Offerman & Arthur Schram, 2013. "Superstars need Social Benefits: An Experiment on Network Formation," Tinbergen Institute Discussion Papers 13-112/I, Tinbergen Institute.

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