Average testing and Pareto efficiency

成果类型:
Article
署名作者:
Arieli, Itai; Babichenko, Yakov
署名单位:
University of Oxford; University of Oxford; Hebrew University of Jerusalem; Hebrew University of Jerusalem
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2012.05.001
发表日期:
2012
页码:
2376-2398
关键词:
Pareto efficient boundary Learning dynamic Average testing
摘要:
We propose a simple adaptive procedure for playing strategic games: average testing. In this procedure each player sticks to her current strategy if it yields a payoff that exceeds her average payoff by at least some fixed epsilon > 0; otherwise she chooses a strategy at random. We consider generic two-person games where both players play according to the average testing procedure on blocks of k-periods. We demonstrate that for all k large enough, the pair of time-average payoffs converges (almost surely) to the 3 epsilon-Pareto efficient boundary. (C) 2012 Elsevier Inc. All rights reserved.