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Jealousy in Cooperation — A Comparison of Two Game-Based Approaches

Author

Listed:
  • F. Barachini

    (BIC-Austria, Bisamberggasse 14, 2103 Langenzersdorf, Austria)

  • M. Bornemann

    (Intangible Assets Consulting, Dr. Anton Schlossar Weg 16, 8010 Graz, Austria)

Abstract

We are interested in the question of how jealousy influences the dynamics of populations. In a previous paper, we investigated the impact of power and jealousy on cooperation. By using intelligent agents, a stochastic updating process has been used, so that artificial agent populations could be modelled. In this paper, we investigate update procedures based on deterministic dynamics for populations arranged in a lattice. Compared to stochastic processes, our findings show that populations behave and react far more dynamically, in certain parameter regions, when spatial cooperation is applied.

Suggested Citation

  • F. Barachini & M. Bornemann, 2020. "Jealousy in Cooperation — A Comparison of Two Game-Based Approaches," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-14, June.
    • Handle: RePEc:wsi:jikmxx:v:19:y:2020:i:02:n:s0219649220500148
    DOI: 10.1142/S0219649220500148
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