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Self-organization in a distributed coordination game through heuristic rules

Author

Listed:
  • Shubham Agarwal

    (Indian Institute of Technology)

  • Diptesh Ghosh

    (Production & Quantitative Methods Area, Indian Institute of Management)

  • Anindya S. Chakrabarti

    (Economics Area, Indian Institute of Management)

Abstract

In this paper, we consider a distributed coordination game played by a large number of agents with finite information sets, which characterizes emergence of a single dominant attribute out of a large number of competitors. Formally, N agents play a coordination game repeatedly, which has exactly N pure strategy Nash equilibria, and all of the equilibria are equally preferred by the agents. The problem is to select one equilibrium out of N possible equilibria in the least number of attempts. We propose a number of heuristic rules based on reinforcement learning to solve the coordination problem. We see that the agents self-organize into clusters with varying intensities depending on the heuristic rule applied, although all clusters but one are transitory in most cases. Finally, we characterize a trade-off in terms of the time requirement to achieve a degree of stability in strategies versus the efficiency of such a solution.

Suggested Citation

  • Shubham Agarwal & Diptesh Ghosh & Anindya S. Chakrabarti, 2016. "Self-organization in a distributed coordination game through heuristic rules," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(12), pages 1-10, December.
  • Handle: RePEc:spr:eurphb:v:89:y:2016:i:12:d:10.1140_epjb_e2016-70464-0
    DOI: 10.1140/epjb/e2016-70464-0
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    2. Kalliopi Kastampolidou & Christos Papalitsas & Theodore Andronikos, 2021. "DKPRG or how to succeed in the Kolkata Paise Restaurant gamevia TSP," Papers 2101.07760, arXiv.org.

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