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Game Theory, Misc

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  1. Derek Abbott & Paul C. W. Davies, Order From Disorder: The Role of Noise in Creative Processes. A Special Issue On Game Theory And.
    The importance of applying game theory to the evolution of information in the presence of noise has recently become widely recognized. This Special Issue addresses the theme of spontaneously emergent order in both classical and quantum systems subject to external noise, and includes papers directly related to game theory or the development of supporting techniques. In the following editorial overview we examine the broader context of the subject, including the tension between the destructive and creative aspects of noise, and foreshadow (...)
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  2. Moez Abouda & Alain Chateauneuf (2002). Positivity of Bid-Ask Spreads and Symmetrical Monotone Risk Aversion. Theory and Decision 52 (2):149-170.
    A usual argument in finance refers to no arbitrage opportunities for the positivity of the bid-ask spread. Here we follow the decision theory approach and show that if positivity of the bid-ask spread is identified with strong risk aversion for an expected utility market-maker, this is no longer true for a rank-dependent expected utility one. For such a decision-maker only a very weak form of risk aversion is required, a result which seems more in accordance with his actual behavior. We (...)
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  3. George Ainslie (2007). Game Theory Can Build Higher Mental Processes From Lower Ones. Behavioral and Brain Sciences 30 (1):16-18.
    The question of reductionism is an obstacle to unification. Many behavioral scientists who study the more complex or higher mental functions avoid regarding them as selected by motivation. Game-theoretic models in which complex processes grow from the strategic interaction of elementary reward-seeking processes can overcome the mechanical feel of earlier reward-based models. Three examples are briefly described. (Published Online April 27 2007).
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  4. Nejat Anbarci (2001). Divide-the-Dollar Game Revisited. Theory and Decision 50 (4):295-303.
    In the Divide-the-Dollar (DD) game, two players simultaneously make demands to divide a dollar. Each player receives his demand if the sum of the demands does not exceed one, a payoff of zero otherwise. Note that, in the latter case, both parties are punished severely. A major setback of DD is that each division of the dollar is a Nash equilibrium outcome. Observe that, when the sum of the two demands x and y exceeds one, it is as if Player (...)
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  5. Horacio Arló-Costa & Cristina Bicchieri (2007). Knowing and Supposing in Games of Perfect Information. Studia Logica 86 (3):353 - 373.
    The paper provides a framework for representing belief-contravening hypotheses in games of perfect information. The resulting t-extended information structures are used to encode the notion that a player has the disposition to behave rationally at a node. We show that there are models where the condition of all players possessing this disposition at all nodes (under their control) is both a necessary and a sufficient for them to play the backward induction solution in centipede games. To obtain this result, we (...)
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  6. Robert Bass, Deciding Where to Meet for Dinner: Simple Problems and Joint Intentionality.
    Certain apparently simple problems of coming to an agreement are surprisingly difficult to analyze in terms of individually rational behavior with a given set of preferences and beliefs. Though initially the solution appears obvious, the reasoning that would be needed to reach the solution on the part of a pair of rational individuals seems baroque and doubtful. This is used to suggest that a more fruitful tack is to analyze the situation in terms of a kind of joint or shared (...)
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  7. Mark Bedau, Financial Markets Can Be at Sub-Optimal Equilibria.
    We use game theory and Santa Fe Artificial Stock Market, an agent-based model of an evolving stock market, to study the optimal frequency for traders to revise their market forecasting rules. We discover two things: There is a unique strategic Nash equilibrium in the game of choosing forecast revision rates, and this equilibrium is sub-optimal in the sense that traders’ earnings are not maximized an the market is inefficient. This strategic equilibrium is due to an analogue of the prisoner’s dilemma; (...)
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  8. Cristina Bicchieri & Gian Aldo Antonelli (1995). Game-Theoretic Axioms for Local Rationality and Bounded Knowledge. Journal of Logic, Language and Information 4 (2).
    We present an axiomatic approach for a class of finite, extensive form games of perfect information that makes use of notions like rationality at a node and knowledge at a node. We distinguish between the game theorist's and the players' own theory of the game. The latter is a theory that is sufficient for each player to infer a certain sequence of moves, whereas the former is intended as a justification of such a sequence of moves. While in general the (...)
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  9. Cristina Bicchieri, Dalla Chiara & Maria Luisa (1992). Knowledge, Belief, and Strategic Interaction. Cambridge University Press.
    In recent years there has been a great deal of interaction among game theorists, philosophers, and logicians in certain foundational problems concerning rationality, the formalization of knowledge and practical reasoning, and models of learning and deliberation. This unique volume brings together the work of some of the preeminent figures in their respective disciplines, all of whom are engaged in research at the forefront of their fields. Together they offer a conspectus of the interaction of game theory, logic, and epistemology in (...)
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  10. Cristina Bicchieri, Richard C. Jeffrey & Brian Skyrms (1999). The Logic of Strategy. Oxford University Press.
    Edited by three leading figures in the field, this exciting volume presents cutting-edge work in decision theory by a distinguished international roster of contributors. These mostly unpublished papers address a host of crucial areas in the contemporary philosophical study of rationality and knowledge. Topics include causal versus evidential decision theory, game theory, backwards induction, bounded rationality, counterfactual reasoning in games and in general, analyses of the famous common knowledge assumptions in game theory, and evaluations of the normal versus extensive form (...)
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  11. Giacomo Bonanno (2000). Common Belief with the Logic of Individual Belief. Mathematical Logic Quarterly 46 (1):49-52.
    The logic of common belief does not always re‡ect that of individual beliefs. In particular, even when the individual belief operators satisfy the KD45 logic, the common belief operator may fail to satisfy axiom 5. That is, it can happen that neither is A commonly believed nor is it common belief that A is not commonly believed. We identify the intersubjective restrictions on individual beliefs that are incorporated in axiom 5 for common belief.
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  12. Darren Bradley, Decision Theory, Philosophical Perspectives.
    Decision theory is concerned with how agents should act when the consequences of their actions are uncertain. The central principle of contemporary decision theory is that the rational choice is the choice that maximizes subjective expected utility. This entry explains what this means, and discusses the philosophical motivations and consequences of the theory. The entry will consider some of the main problems and paradoxes that decision theory faces, and some of responses that can be given. Finally the entry will briefly (...)
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  13. Ingar Brinck & Peter Gärdenfors (2003). Co–Operation and Communication in Apes and Humans. Mind and Language 18 (5):484–501.
    We trace the difference between the ways in which apes and humans co–operate to differences in communicative abilities, claiming that the pressure for future–directed co–operation was a major force behind the evolution of language. Competitive co–operation concerns goals that are present in the environment and have stable values. It relies on either signalling or joint attention. Future–directed co–operation concerns new goals that lack fixed values. It requires symbolic communication and context–independent representations of means and goals. We analyse these ways of (...)
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  14. John W. Carroll (2000). The Backward Induction Argument. Theory and Decision 48 (1):61-84.
    The backward induction argument purports to show that rational and suitably informed players will defect throughout a finite sequence of prisoner's dilemmas. It is supposed to be a useful argument for predicting how rational players will behave in a variety of interesting decision situations. Here, I lay out a set of assumptions defining a class of finite sequences of prisoner's dilemmas. Given these assumptions, I suggest how it might appear that backward induction succeeds and why it is actually fallacious. Then, (...)
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  15. Ho-Chyuan Chen & William S. Neilson (1999). Pure-Strategy Equilibria with Non-Expected Utility Players. Theory and Decision 46 (2):201-212.
    A pure-strategy equilibrium existence theorem is extended to include games with non-expected utility players. It is shown that to guarantee the existence of a Nash equilibrium in pure strategies, the linearity of preferences in the probabilities can be replaced by the weaker requirement of quasiconvexity in the probabilities.
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  16. Andrew M. Colman (2003). Beyond Rationality: Rigor Without Mortis in Game Theory. Behavioral and Brain Sciences 26 (2):180-192.
    Psychological game theory encompasses formal theories designed to remedy game-theoretic indeterminacy and to predict strategic interaction more accurately. Its theoretical plurality entails second-order indeterminacy, but this seems unavoidable. Orthodox game theory cannot solve payoff-dominance problems, and remedies based on interval-valued beliefs or payoff transformations are inadequate. Evolutionary game theory applies only to repeated interactions, and behavioral ecology is powerless to explain cooperation between genetically unrelated strangers in isolated interactions. Punishment of defectors elucidates cooperation in social dilemmas but leaves punishing behavior (...)
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  17. Andrew M. Colman (2003). Cooperation, Psychological Game Theory, and Limitations of Rationality in Social Interaction. Behavioral and Brain Sciences 26 (2):139-153.
    Rational choice theory enjoys unprecedented popularity and influence in the behavioral and social sciences, but it generates intractable problems when applied to socially interactive decisions. In individual decisions, instrumental rationality is defined in terms of expected utility maximization. This becomes problematic in interactive decisions, when individuals have only partial control over the outcomes, because expected utility maximization is undefined in the absence of assumptions about how the other participants will behave. Game theory therefore incorporates not only rationality but also common (...)
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  18. Ann E. Cudd (1993). Game Theory and the History of Ideas About Rationality: An Introductory Survey. Economics and Philosophy 9 (01):101-.
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  19. Boudewijn de Bruin (2010). Explaining Games: The Epistemic Programme in Game Theory. Springer.
    Contents. Introduction. 1. Preliminaries. 2. Normal Form Games. 3. Extensive Games. 4. Applications of Game Theory. 5. The Methodology of Game Theory. Conclusion. Appendix. Bibliography. Index. Does game theory—the mathematical theory of strategic interaction—provide genuine explanations of human behaviour? Can game theory be used in economic consultancy or other normative contexts? Explaining Games: The Epistemic Programme in Game Theory—the first monograph on the philosophy of game theory—is an attempt to combine insights from epistemic logic and the philosophy of science to (...)
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  20. Emmanuel J. Genot (2009). The Game of Inquiry: The Interrogative Approach to Inquiry and Belief Revision Theory. Synthese 171 (2).
    I. Levi has advocated a decision-theoretic account of belief revision. We argue that the game-theoretic framework of Interrogative Inquiry Games , proposed by J. Hintikka, can extend and clarify this account. We show that some strategic use of the game rules (or ‘policies’) generate Expansions , Contractions and Revisions , and we give representation results. We then extend the framework to represent explicitly (multiple) sources of answers , and apply it to discuss the Recovery Postulate. We conclude with some (...)
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  21. Gerd Gigerenzer & Thalia Gigerenzer (2005). Is the Ultimatum Game a Three-Body Affair? Behavioral and Brain Sciences 28 (6):823-824.
    The Ultimatum Game is commonly interpreted as a two-person bargaining game. The third person who donates and may withdraw the money is not included in the theoretical equations, but treated like a neutral measurement instrument. Yet in a cross-cultural analysis it seems necessary to consider the possibility that the thoughts of a player – strategic, altruistic, selfish, or concerned about reputation – are influenced by both an anonymous second player and the non-anonymous experimenter.
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  22. Herbert Gintis (2001). The Contribution of Game Theory to Experimental Design in the Behavioral Sciences. Behavioral and Brain Sciences 24 (3):411-412.
    Methodological practices differ between economics and psychology because economists use game theory as the basis for the design and interpretation of experiments, while psychologists do not. This methodological choice explains the “four key variables” stressed by Hert-wig and Ortmann. Game theory is currently the most rigorous basis for modeling strategic choice.
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  23. Jacob K. Goeree, Charles A. Holt & Rouss Hall, Ten Little Treasures of Game Theory and ten Intuitive Contradictions.
    This paper reports laboratory data for games that are played only once. These games span the standard categories: static and dynamic games with complete and incomplete information. For each game, the treasure is a treatment in which behavior conforms nicely to predictions of the Nash equilibrium or relevant refinement. In each case, however, a change in the payoff structure produces a large inconsistency between theoretical predictions and observed behavior. These contradictions are generally consistent with simple intuition based on the interaction (...)
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  24. Randolph C. Grace & Simon Kemp (2005). What Does the Ultimatum Game Mean in the Real World? Behavioral and Brain Sciences 28 (6):824-825.
    The predictive validity of the ultimatum game (UG) for cross-cultural differences in real-world behavior has not yet been established. We discuss results of a recent meta-analysis (Oosterbeek et al 2004), which examined UG behavior across large-scale societies and found that the mean percent offers rejected was positively correlated with social expenditure.
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  25. Francesco Guala (2008). Paradigmatic Experiments: The Ultimatum Game From Testing to Measurement Device. Philosophy of Science 75 (5):658-669.
    The Ultimatum Game is one of the most successful experimental designs in the history of the social sciences. In this article I try to explain this success—what makes it a “paradigmatic experiment”—stressing in particular its versatility. Despite the intentions of its inventors, the Ultimatum Game was never a good design to test economic theory, and it is now mostly used as a heuristic tool for the observation of nonstandard preferences or as a “social thermometer” for the observation of culture‐specific norms. (...)
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  26. Francesco Guala, Has Game Theory Been Refuted?
    The answer in a nutshell is: Yes, five years ago, but nobody has noticed. Nobody noticed because the majority of social scientists subscribe to one of the following views: (1) the ‘anomalous’ behaviour observed in standard prisoner’s dilemma or ultimatum game experiments has refuted standard game theory a long time ago; (2) game theory is flexible enough to accommodate any observed choices by ‘refining’ players’ preferences; or (3) it is just a piece of pure mathematics (a tautology). None of these (...)
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  27. Sven Ove Hansson, Decision Theory.
    This text is a non-technical overview of modern decision theory. It is intended for university students with no previous acquaintance with the subject, and was primarily written for the participants of a course on risk analysis at Uppsala University in 1994.
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  28. Benoit Hardy-Vallée & Paul Thagard (2008). How to Play the Ultimatum Game: An Engineering Approach to Metanormativity. Philosophical Psychology 21 (2):173 – 192.
    The ultimatum game is a simple bargaining situation where the behavior of people frequently contradicts the optimal strategy according to classical game theory. Thus, according to many scholars, the commonly observed behavior should be considered irrational. We argue that this putative irrationality stems from a wrong conception of metanormativity (the study of norms about the establishment of norms). After discussing different metanormative conceptions, we defend a Quinean, naturalistic approach to the evaluation of norms. After reviewing empirical literature on the ultimatum (...)
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  29. Daniel M. Hausman (2000). Revealed Preference, Belief, and Game Theory. Economics and Philosophy 16 (1):99-115.
    The notion of ‘revealed preference’ is unclear and should be abandoned. Defenders of the theory of revealed preference have misinterpreted legitimate concerns about the testability of economics as the demand that economists eschew reference to (unobservable) subjective states. As attempts to apply revealed-preference theory to game theory illustrate with particular vividness, this demand is mistaken.
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  30. Gilbert Laffond, Jean-François Laslier & Michel Le Breton (2000). K–Player Additive Extension of Two-Player Games with an Application to the Borda Electoral Competition Game. Theory and Decision 48 (2):129-137.
    In this note we introduce the notion of K–player additive extension of a symmetric two-player game and prove a result relating the equilibria in mixed strategies in the two games. Then we apply the result to the Borda electoral competition game.
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  31. Bernard Linsky (1993). Paradoxes of Belief and Strategic Rationality (Cambridge Studies in Probability, Induction, Decision Theory). Philosophical Books 34 (1):27-28.
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  32. Linda Mealey (2000). Mating Strategies as Game Theory: Changing Rules? Behavioral and Brain Sciences 23 (4):613-613.
    Human behavior can be analyzed using game theory models. Complex games may involve different rules for different players and may allow players to change identity (and therefore, rules) according to complex contingencies. From this perspective, mating behaviors can be viewed as strategic “plays” in a complex “mating game,” with players varying tactics in response to changes in the game's payoff matrix.
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  33. J. Moreh (1994). Randomness, Game Theory and Free Will. Erkenntnis 41 (1):49 - 64.
    Libertarians claim that human behaviour is undetermined and cannot be predicted from knowledge of past history even in principle since it is based on the random movements of quantum mechanics. Determinists on the other hand deny thatmacroscopic phenomena can be activated bysub-microscopic events, and assert that if human action is unpredictable in the way claimed by libertarians, it must be aimless and irrational. This is not true of some types of random behaviour described in this paper. Random behaviour may make (...)
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  34. Randy Au Patrick Grim, Robert Rosenberger Nancy Louie, Evan Selinger William Braynen & E. Eason Robb (2008). A Graphic Measure for Game-Theoretic Robustness. Synthese 163 (2).
    Robustness has long been recognized as an important parameter for evaluating game-theoretic results, but talk of ‘robustness’ generally remains vague. What we offer here is a graphic measure for a particular kind of robustness (‘matrix robustness’), using a three-dimensional display of the universe of 2 × 2 game theory. In such a measure specific games appear as specific volumes (Prisoner’s Dilemma, Stag Hunt, etc.), allowing a graphic image of the extent of particular game-theoretic effects in terms of those games. The (...)
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  35. Wlodek Rabinowicz (2003). Remarks on the Absentminded Driver. Studia Logica 73 (2):241 - 256.
    Piccione and Rubinstein (1997) present and analyse the sequential decision problem of an “absentminded driver”. The driver's absentmindedness (imperfect recall) leads him to time-inconsistent strategy evaluations. His original evaluation gets replaced by a new one under impact of the information that the circumstances have changed, notwithstanding the fact that this change in circumstances has been expected by him all along. The time inconsistency in strategy evaluation suggests that such an agent might have reason to renege on his adopted strategy. As (...)
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  36. Wlodek Rabinowicz (2001). A Centipede for Intransitive Preferrers. Studia Logica 67 (2):167-178.
    In the standard money pump, an agent with cyclical preferences can avoid exploitation if he shows foresight and solves his sequential decision problem using backward induction (BI). This way out is foreclosed in a modified money pump, which has been presented in Rabinowicz (2000). There, BI will lead the agent to behave in a self-defeating way. The present paper describes another sequential decision problem of this kind, the Centipede for an Intransitive Preferrer, which in some respects is even more striking (...)
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  37. Don Ross, Game Theory. Stanford Encyclopedia of Philosophy.
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  38. Reinhard Selten (1998). Multistage Game Models and Delay Supergames. Theory and Decision 44 (1):1-36.
    The order of stages in a multistage game is often interpreted by looking at earlier stages as involving more long term decisions. For the purpose of making this interpretation precise, the notion of a delay supergame of a bounded multistage game is introduced. A multistage game is bounded if the length of play has an upper bound. A delay supergame is played over many periods. Decisions on all stages are made simultaneously, but with different delays until they become effective. The (...)
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  39. Prakash P. Shenoy (1998). Game Trees For Decision Analysis. Theory and Decision 44 (2):149-171.
    Game trees (or extensive-form games) were first defined by von Neumann and Morgenstern in 1944. In this paper we examine the use of game trees for representing Bayesian decision problems. We propose a method for solving game trees using local computation. This method is a special case of a method due to Wilson for computing equilibria in 2-person games. Game trees differ from decision trees in the representations of information constraints and uncertainty. We compare the game tree representation and solution (...)
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  40. Elliott Sober (1998). To Give a Surprise Exam, Use Game Theory. Synthese 115 (3):355-373.
    This paper proposes a game-theoretic solution of the surprise examination problem. It is argued that the game of “matching pennies” provides a useful model for the interaction of a teacher who wants her exam to be surprising and students who want to avoid being surprised. A distinction is drawn between prudential and evidential versions of the problem. In both, the teacher should not assign a probability of zero to giving the exam on the last day. This representation of the problem (...)
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  41. Robert Stalnaker (1999). Extensive and Strategic Forms: Games and Models for Games. Research in Economics 53 (3):293 - 319.
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  42. Robert Stalnaker (1998). Belief Revision in Games: Forward and Backward Induction. Mathematical Social Sciences 36 (1):31 - 56.
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  43. Robert Stalnaker (1996). Knowledge, Belief and Counterfactual Reasoning in Games. Economics and Philosophy 12 (02):133-163.
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  44. R. Sugden (2001). Equilibrium and Rationality: Game Theory Revisid by Decision Rules. Philosophical Review 110 (3):425-427.
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  45. Author unknown, Game Theory. Internet Encyclopedia of Philosophy.
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  46. Peter Vallentyne (1999). Paul Weirich, Equilibrium and Rationality: Game Theory Revised by Decision Rules. Ethics 109 (3):684-686.
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  47. Johan van Benthem & Eric Pacuit, Toward a Theory of Play: A Logical Perspective on Games and Interaction.
    The combination of logic and game theory provides a fine-grained perspective on information and interaction dynamics, a Theory of Play. In this paper we lay down the main components of such a theory, drawing on recent advances in the logical dynamics of actions, preferences, and information. We then show how this fine-grained perspective has already shed new light on the long-term dynamics of information exchange, as well as on the much-discussed question of extensive game rationality.
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  48. Brian Weatherson, Game Playing Under Ignorance.
    In earlier work I argued that using ‘vague probabilities’ did not ground any argument for significantly adjusting Bayesian decision theory. In this note I show that my earlier arguments don’t carry across smoothly to game theory. Allowing agents to have vague probabilities over possible outcomes dramatically increases the range of possible Nash equilibria in certain games, and hence arguably (but only arguably) increases the range of possible rational action.
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  49. Stephen J. Willson (1998). Long-Term Behavior in the Theory of Moves. Theory and Decision 45 (3):201-240.
    This paper proposes a revised Theory of Moves (TOM) to analyze matrix games between two players when payoffs are given as ordinals. The games are analyzed when a given player i must make the first move, when there is a finite limit n on the total number of moves, and when the game starts at a given initial state S. Games end when either both players pass in succession or else a total of n moves have been made. Studies are (...)
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  50. Robert Paul Wolff (1962). Reflections on Game Theory and the Nature of Value. Ethics 72 (3):171-179.
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