The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation

By Yoella Bereby-Meyer, Alvin E. Roth. 2006

183 citations recorded by the source corpus.

In an experiment, players? ability to learn to cooperate in the repeated prisoner?s dilemma was substantially diminished when the payoffs were noisy, even though players could monitor one another?s past actions perfectly. In contrast, in one-time play against a succession of opponents, noisy payoffs increased cooperation, by slowing the rate at which cooperation decays. These observations are consistent with the robust observation from the psychology literature that partial reinforcement (adding randomness to the link between an action and its consequences while holding expected payoffs constant) slows learning. This effect is magnified in the repeated game: when others are slow to learn to cooperate, the benefits of cooperation are reduced, which further hampers cooperation. These results show that a small change in the payoff environment, which changes the speed of individual learning, can have a large effect on collective behavior. And they show that there may be interesting comparative dynamics that can be derived from careful attention to the fact that at least some economic behavior is learned from experience. (JEL C71, C72, C73, D83)

Subfields: Management Science and Operations Research, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/62b3be5c97d001f46925408bda6cf3f2a3fdee4d

How researchers see this paper

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In Management Science and Operations Research

  1. Elena Katok
  2. Eyal Ert
  3. Ido Erev
  4. Alvin E. Roth
  5. Ernan Haruvy
  6. Gary E. Bolton
  7. Greg Barron
  8. John H. Kagel

In Safety Research

  1. John H. Kagel
  2. Elena Katok
  3. Glenn W. Harrison
  4. Teck-Hua Ho
  5. Daniel Friedman
  6. Ido Erev
  7. Uri Simonsohn
  8. Ernan Haruvy

In Sociology and Political Science

  1. Daniel Friedman
  2. John H. Kagel
  3. Andrew Schotter
  4. Gary E. Bolton
  5. Markku Kaustia
  6. Samuli Knüpfer
  7. Teck-Hua Ho
  8. Glenn W. Harrison

Citations in the corpus