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A game with no Bayesian approximate equilibria [PDF]
Journal of Economic Theory, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Signaling in Bayesian Stackelberg Games
International Joint Conference on Autonomous Agents and Multiagent Systems, 2016Algorithms for solving Stackelberg games are used in an ever-growing variety of real-world domains. Previous work has extended this framework to allow the leader to commit not only to a distribution over actions, but also to a scheme for stochastically signaling information about these actions to the follower.
Haifeng Xu +4 more
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On Fuzzy Probabilities in Bayesian Games
2011 Workshop-School on Theoretical Computer Science, 2011This work proposes an application of fuzzy probabilities, respecting an arithmetic restriction, in order to estimate unknown types of players in a bayesian game, thus configuring a fuzzy bayesian game. To this end, besides defining the operations needed for this application, a hypothetical example of a bayesian game is presented and then this ...
Tiago da Cruz Asmus +1 more
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2013
This paper tackles some conceptual problems in the epistemic foundations of classical game theory. Focus is placed on the discussions of the asymmetry of different epistemic standpoints in modeling a game and the thesis of no subjective probability for self-action in games.
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This paper tackles some conceptual problems in the epistemic foundations of classical game theory. Focus is placed on the discussions of the asymmetry of different epistemic standpoints in modeling a game and the thesis of no subjective probability for self-action in games.
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Reasoning patterns in Bayesian games
International Joint Conference on Autonomous Agents and Multiagent Systems, 2011Bayesian games have been traditionally employed to describe and analyze situations in which players have private information or are uncertain about the game being played. However, computing Bayes-Nash equilibria can be costly, and becomes even more so if the common prior assumption (CPA) has to be abandoned, which is sometimes necessary for a faithful ...
Dimitrios Antos, Avi Pfeffer
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A Bayesian Model of Game Decomposition
2017In this paper, we propose a Bayesian probabilistic model to describe collective behavior generated by a finite number of agents competing for limited resources. In this model, the strategy for each agent is a binary choice in the Minority Game and it can be modeled by a Binomial distribution with a Beta prior.
Hanqing Zhao +3 more
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Self-Fulfilling Mechanisms in Bayesian Games
Games and Economic Behavior, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
FORGES F., MINELLI, Enrico
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Bayesian Learning in Repeated Games
Games and Economic Behavior, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Agent Transformation of Bayesian Games
IEEE Transactions on Automatic Control, 2022Yuhu Wu +3 more
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Correlation of types in Bayesian games [PDF]
, 2012 Despite their importance, games with incomplete information and dependent types are poorly understood; only special cases have been considered and a general approach is not yet available. In this paper, we propose a new condition (named richness) for correlation of types in (asymmetric) Bayesian games.
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