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Cooperation in Heterogeneous Population

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참고문헌

주제분류경제학

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Abstract

This paper analyzes a heterogeneous population in which selfish players and fair players are spatially distributed, and they are randomly and repeatedly matched to play a prisoner's dilemma. Players are assumed to behave in a myopic manner. By introducing the random experimentation of fair players, we show that the system described by a Markov process converges to a best possible equilibrium in the long run. Simulation results show that the structure of interactions plays an important role in determining the long-run cooperation rate.

참고문헌 (12)

  1. "The Evolution of Cooperation" (1984), Basic Books
  2. "The Evolution of Cooperation", pp.1390~1396 (1981)
  3. "The Statistical Mechanics of Strategic interaction", 5, pp.387~424 (1993)
  4. "Journal of Economic Perspectives", a(malies)
  5. "Learning from Personal Experience: One Rational Guy and the Justification of Myopic Learning Models", 19, pp.180~210 (1997)
  6. "Local Conventions", 2(1), pp.~1 (2002)
  7. "The Outbreak of Cooperation Journal of Mathematical Sociology", pp.281~302 (1993)
  8. "The Expanding Domain of Economics", pp.53~68 (1985)
  9. "and Long Run Equilibria in Games", eco(metrica), pp.29~56 (1993)
  10. "Public Goods: A Survey of Experimental Research" In: J.H. Kagel and A.E. Roth (eds.)" (1995)
  11. "Incorporating Fairness into Game Theory and Economics", pp.1281~1302 (1993)
  12. "Dynamic Models of Segregation", 1, pp.143~186 (1971)

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