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Journal ArticleDOI

What is rational about Nash equilibria

Mathias Risse
- 01 Sep 2000 - 
- Vol. 124, Iss: 3, pp 361-384
TLDR
Arguments for vonNeumann–Morgenstern's argument for their minimax solution, the argument from self-enforcing agreements, theargument from the absence of probabilities, the transparency-of-reasons argument, and the argumentFrom regret are discussed, which fail entirely or have a very limited scope.
Abstract
Nash Equilibrium is a central concept ingame theory. It has been argued that playing NashEquilibrium strategies is rational advice for agentsinvolved in one-time strategic interactions capturedby non-cooperative game theory. This essaydiscusses arguments for that position: vonNeumann–Morgenstern's argument for their minimaxsolution, the argument from self-enforcingagreements, the argument from the absence ofprobabilities, the transparency-of-reasons argument,the argument from regret, and the argument fromcorrelated equilibrium. All of these argumentseither fail entirely or have a very limited scope.Whatever the use of Nash Equilibrium is, therefore,it is not useful as a rational recommendation inone-time strategic interactions. This is good newsfor Bayesians: although this discussion does notargue directly for the Bayesian idea of rationalityas expected utility maximization, it argues againsta position that has been regarded as a contender insituations of strategic interaction.

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Citations
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Journal ArticleDOI

Convention: a philosophical study

Robert Kirk
- 01 May 1970 - 
Posted Content

A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

TL;DR: This survey presents a coherent overview of work that addresses opponent-induced non-stationarity with tools from game theory, reinforcement learning and multi-armed bandits, arriving at a new framework and five categories (in increasing order of sophistication): ignore, forget, respond to target models, learn models, and theory of mind.
Book ChapterDOI

Philosophy of Game Theory

TL;DR: In this paper, the authors consider a scenario where two hunters set out to hunt a stag and lose track of each other in the process, each hunter has to make a decision: either she continues according to plan, hoping that her partner does likewise, and together they catch the deer; or she goes for a hare instead, securing a prey that does not require her partner's cooperation, and thus abandoning the common plan.
Book ChapterDOI

Dynamic Models of Rational Deliberation in Games

TL;DR: The general conclusion is that the rational outcomes of a game depend not only on the structure of the game, but also on the players’ initial beliefs, which dynamical rule is being used by the players to update their inclinations.
Journal ArticleDOI

Overmathematisation in game theory: pitting the Nash Equilibrium Refinement Programme against the Epistemic Programme

TL;DR: The authors argues that the Nash equilibrium refinement program was less successful than its competitor, the Epistemic Programme (Interactive Epistemology), and explains this in terms of unjustified degrees of mathematisation in Nash Equilibrium Refinement Programme.
References
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Book

The Strategy of Conflict

TL;DR: In this paper, the authors propose a theory of interdependent decision based on the Retarded Science of International Strategy (RSIS) for non-cooperative games and a solution concept for "noncooperative" games.
Book

A Course in Game Theory

TL;DR: A Course in Game Theory as discussed by the authors presents the main ideas of game theory at a level suitable for graduate students and advanced undergraduates, emphasizing the theory's foundations and interpretations of its basic concepts.
Book ChapterDOI

Non-cooperative games

John F. Nash
TL;DR: In this article, it was shown that the set of equilibrium points of a two-person zero-sum game can be defined as a set of all pairs of opposing "good" strategies.