Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences

  title={Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences},
  author={Nanlin Jin},
  journal={2005 IEEE Congress on Evolutionary Computation},
  pages={2661-2668 Vol. 3}
The main purpose of this work is to measure the impact of players' information completeness on the outcomes in dynamic strategic games. We apply co-evolutionary algorithms to solve four incomplete information bargaining problems and investigate the experimental outcomes on players' shares from agreements, the efficiency of agreements and the evolutionary time for convergence. Empirical analyses indicate that in the absence of complete information on the counterpart(s)' preferences, co-evolving… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 14 references

Coevolutionary Strategies for an Alternating-Offer Bargaining Problem

  • Jin, N. Tsang 2005Jin, E. Tsang
  • IEEE Symposium on Computational Intelligence and…
  • 2005

Discrete Public Goods: Contribution Levels and Learning as Outcomes of an Evolutionary Game, Royal Economic Society Annual Conference

  • Clemens, Christiane, Thomas Reichmann
  • Royal Economic Society
  • 2003

The Challenge of Poker

  • Billings
  • Artificial Intelligence,
  • 2002

Coevolution of pursuit and evasion II: Simulation methods and results

  • Cliff, D. Miller1996 Cliff, G. F. Miller
  • Fourth International Conference on Simulation of…
  • 1996

The Co - evolution of Automata in the Repeated Prisoner ’ s Dilemma

  • A. Muthoo
  • Journal of Economic Behavior and Organization
  • 1996

Infinite-horizon models of bargaining with one-sided incomplete information

  • D. Fudenbery, D. Levine, Tirole
  • 1985

Similar Papers

Loading similar papers…