Heller, Yuval and Mohlin, Erik (2015): Unique Stationary Behavior.
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Abstract
We study environments in which agents from a large population are randomly matched to play a one-shot game, and, before the interaction begins, each agent observes noisy information about the partner's aggregate behavior. Agents follow stationary strategies that depend on the observed signal. We show that every strategy distribution admits a unique behavior if each player observe on average less than action of his partner. On the other hand, if each player observes on average more than one action, we show that there exists a stationary strategy that admits multiple consistent outcomes.
Item Type: | MPRA Paper |
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Original Title: | Unique Stationary Behavior |
Language: | English |
Keywords: | Markovian process, Random matching. |
Subjects: | C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C72 - Noncooperative Games C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C73 - Stochastic and Dynamic Games ; Evolutionary Games ; Repeated Games D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness |
Item ID: | 66179 |
Depositing User: | Yuval Heller |
Date Deposited: | 19 Aug 2015 05:52 |
Last Modified: | 10 Oct 2019 12:44 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/66179 |