Search results for 'Rory Smead Brian Skyrms' (try it on Scholar)

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  1. Rory Smead (2011). Brian Skyrms , Signals: Evolution, Learning, and Information . New York: Oxford University Press (2010), 208 Pp., $27.00 (Paper). [REVIEW] Philosophy of Science 78 (4):702-705.score: 525.0
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  2. Simon M. Huttegger, Brian Skyrms, Rory Smead & Kevin J. S. Zollman (forthcoming). Evolutionary Dynamics of Lewis Signaling Games: Signaling Systems Vs. Partial Pooling. Synthese.score: 480.0
    Transfer of information between senders and receivers, of one kind or another, is essential to all life. David Lewis introduced a game theoretic model of the simplest case, where one sender and one receiver have pure common interest. How hard or easy is it for evolution to achieve information transfer in Lewis signaling?. The answers involve surprising subtleties. We discuss some if these in terms of evolutionary dynamics in both finite and infinite populations, with and without mutation.
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  3. Brian Skyrms (2010). Signals: Evolution, Learning, and Information. OUP Oxford.score: 255.0
    Brian Skyrms presents a fascinating exploration of how fundamental signals are to our world. He uses a variety of tools -- theories of signaling games, information, evolution, and learning -- to investigate how meaning and communication develop. He shows how signaling games themselves evolve, and introduces a new model of learning with invention. The juxtaposition of atomic signals leads to complex signals, as the natural product of gradual process. Signals operate in networks of senders and receivers at all (...)
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  4. Brian Skyrms (1996). Evolution of the Social Contract. Cambridge University Press.score: 255.0
    In this book, Brian Skyrms, a recognised authority on game and decision theory, investigates traditional problems of the social contract in terms of evolutionary dynamics. Game theory is employed to offer new interpretations of a wide variety of social phenomena, including justice, mutual aid, commitment, convention and meaning. Skyrms eschews any grand, unified theory. Rather, he presents the reader with tools drawn from evolutionary game theory for the purpose of analysing and coming to understand the social contract. (...)
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  5. Brian Skyrms (1967). The Explication of "X Knows That P". Journal of Philosophy 64 (12):373-389.score: 120.0
  6. Brian Skyrms (1994). Sex and Justice. Journal of Philosophy 91 (6):305-320.score: 120.0
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  7. Brian Skyrms (1981). Tractarian Nominalism. Philosophical Studies 40 (2):199 - 206.score: 120.0
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  8. Brian Skyrms (1976). Possible Worlds, Physics and Metaphysics. Philosophical Studies 30 (5):323 - 332.score: 120.0
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  9. Brian Skyrms (1994). Darwin Meets the Logic of Decision: Correlation in Evolutionary Game Theory. Philosophy of Science 61 (4):503-528.score: 120.0
    The proper treatment of correlation in evolutionary game theory has unexpected connections with recent philosophical discussions of the theory of rational decision. The Logic of Decision (Jeffrey 1983) provides the correct framework for correlated evolutionary game theory and a variant of "ratifiability" is the appropriate generalization of "evolutionarily stable strategy". The resulting theory unifies the treatment of correlation due to kin, population viscosity, detection, signaling, reciprocal altruism, and behavior-dependent contexts. It is shown that (1) a strictly dominated strategy may be (...)
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  10. Brian Skyrms & Bill Harms, Evolution of Moral Norms.score: 120.0
    Moral norms are the rules of morality, those that people actually follow, and those that we feel people ought to follow, even when they don’t. Historically, the social sciences have been primarily concerned with describing the many forms that moral norms take in various cultures, with the emerging implication that moral norms are mere arbitrary products of culture. Philosophers, on the other hand, have been more concerned with trying to understand the nature and source of rules that all cultures ought (...)
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  11. Ellery Eells, Brian Skyrms & Ernest W. Adams (eds.) (1994). Probability and Conditionals: Belief Revision and Rational Decision. Cambridge University Press.score: 120.0
    This is a 'state of the art' collection of essays on the relation between probabilities, especially conditional probabilities, and conditionals. It provides new negative results which sharply limit the ways conditionals can be related to conditional probabilities. There are also positive ideas and results which will open up new areas of research. The collection is intended to honour Ernest W. Adams, whose seminal work is largely responsible for creating this area of inquiry. As well as describing, evaluating, and applying Adams' (...)
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  12. Brian Skyrms (2008). Trust, Risk, and the Social Contract. Synthese 160 (1):21 - 25.score: 120.0
    The problem of trust is discussed in terms of David Hume’s meadow-draining example. This is analyzed in terms of rational choice, evolutionary game theory and a dynamic model of social network formation. The kind of explanation that postulates an innate predisposition to trust is seen to be unnecessary when social network dynamics is taken into account.
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  13. Brian Skyrms (2010). The Flow of Information in Signaling Games. Philosophical Studies 147 (1).score: 120.0
    Both the quantity of information and the informational content of a signal are defined in the context of signaling games. Informational content is a generalization of standard philosophical notions of propositional content. It is shown how signals that initially carry no information may spontaneously acquire informational content by evolutionary or learning dynamics. It is shown how information can flow through signaling chains or signaling networks.
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  14. Brian Skyrms (1982). Causal Decision Theory. Journal of Philosophy 79 (11):695-711.score: 120.0
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  15. Brian Skyrms (2008). Signals. Philosophy of Science 75 (5).score: 120.0
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  16. Brian Skyrms (1966). Nomological Necessity and the Paradoxes of Confirmation. Philosophy of Science 33 (3):230-249.score: 120.0
    Some of the concerns which motivate attempts to provide a philosophical reduction of nomological necessity are briefly introduced in I. In II, Hempel's treatment of the paradoxes is contrasted with a position which holds that nomological necessity is a pragmatic dimension of laws of nature, and that this pragmatic dimension is of such a type that it prevents laws of nature from contraposing. Such a position is, however, untenable unless (i) the sense of 'pragmatics' at issue is specified, and the (...)
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  17. Cristina Bicchieri, Richard C. Jeffrey & Brian Skyrms (eds.) (1999). The Logic of Strategy. Oxford University Press.score: 120.0
    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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  18. Brian Skyrms (1984). EPR: Lessons for Metaphysics. Midwest Studies in Philosophy 9 (1):245-255.score: 120.0
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  19. Jason Alexander & Brian Skyrms (1999). Bargaining with Neighbors: Is Justice Contagious? Journal of Philosophy 96 (11):588-598.score: 120.0
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  20. William Harms & Brian Skyrms, Evolution of Moral Norms.score: 120.0
    Moral norms are the rules of morality, those that people actually follow, and those that we feel people ought to follow, even when they don’t. Historically, the social sciences have been primarily concerned with describing the many forms that moral norms take in various cultures, with the emerging implication that moral norms are mere arbitrary products of culture. Philosophers, on the other hand, have been more concerned with trying to understand the nature and source of rules that all cultures ought (...)
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  21. Brian Skyrms (1992). Coherence, Probability and Induction. Philosophical Issues 2:215-226.score: 120.0
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  22. Brian Skyrms (2001). The Stag Hunt. Proceedings and Addresses of the American Philosophical Association 75 (2):31 - 41.score: 120.0
    If it was a matter of hunting a deer, everyone well realized that he must remain faithful to his post; but if a hare happened to pass within reach of one of them, we cannot doubt that he would have gone off in pursuit of it without scruple..." Rousseau's story of the hunt leaves many questions open. What are the values of a hare and of an individual's share of the deer given a successful hunt? What is the probability that (...)
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  23. Brian Skyrms (1993). Logical Atoms and Combinatorial Possibility. Journal of Philosophy 60 (5):219-232.score: 120.0
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  24. Brian Skyrms & Ernest Sosa (1965). Necessity, the a Priori, and Unexpressible Statements. Philosophical Studies 16 (5):65 - 74.score: 120.0
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  25. Brian Skyrms (2000). Just Playing: Game Theory and the Social Contract Vol. 2, Ken Binmore. MIT Press, 1998, XXIII + 589 Pages. [REVIEW] Economics and Philosophy 16 (1):147-174.score: 120.0
  26. Simon Huttegger & Rory Smead (2011). Efficient Social Contracts and Group Selection. Biology and Philosophy 26 (4):517-531.score: 120.0
    We consider the Stag Hunt in terms of Maynard Smith’s famous Haystack model. In the Stag Hunt, contrary to the Prisoner’s Dilemma, there is a cooperative equilibrium besides the equilibrium where every player defects. This implies that in the Haystack model, where a population is partitioned into groups, groups playing the cooperative equilibrium tend to grow faster than those at the non-cooperative equilibrium. We determine under what conditions this leads to the takeover of the population by cooperators. Moreover, we compare (...)
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  27. Brian Skyrms, A Dynamic Model of Social Network Formation.score: 120.0
    This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected on April 27, 1999.
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  28. Brian Skyrms, Fermat and Pascal on Probability.score: 120.0
    Italian writers of the fifteenth and sixteenth centuries, notably Pacioli (1494), Tartaglia (1556), and Cardan (1545), had discussed the problem of the division of a stake between two players whose game was interrupted before its close. The problem was proposed to Pascal and Fermat, probably in 1654, by the Chevalier de M´er´e, a gambler who is said to have had unusual ability “even for the mathematics.” The correspondence which ensued between Fermat and Pascal, was fundamental in the development of modern (...)
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  29. Brian Skyrms (1977). Resiliency, Propensities, and Causal Necessity. Journal of Philosophy 74 (11):704-713.score: 120.0
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  30. Brian Skyrms, Evolution of Signaling Systems with Multiple Senders and Receivers.score: 120.0
    To coordinate action, information must be transmitted, processed, and utilized to make decisions. Transmission of information requires the existence of a signaling system in which the signals that are exchanged are coordinated with the appropriate content. Signaling systems in nature range from quorum signaling in bacteria [Schauder and Bassler (2001), Kaiser (2004)], through the dance of the bees [Dyer and Seeley (1991)], birdcalls [Hailman, Ficken, and Ficken (1985), Gyger, Marler and Pickert (1987), Evans, Evans, and Marler (1994), Charrier and (...)
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  31. Brian Skyrms (1996). The Structure of Radical Probabilism. Erkenntnis 45 (2-3):285 - 297.score: 120.0
    Does the philosophy of Radical Probabilism have enough structure to enable it to address fundamental epistemological questions? The requirement of dynamic coherence provides the structure for radical probabilist epistemology. This structure is sufficient to establish (i) the value of knowledge and (ii) long run convergence of degrees of belief.
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  32. Rory Smead (2010). Indirect Reciprocity and the Evolution of “Moral Signals”. Biology and Philosophy 25 (1):33-51.score: 120.0
    Signals regarding the behavior of others are an essential element of human moral systems and there are important evolutionary connections between language and large-scale cooperation. In particular, social communication may be required for the reputation tracking needed to stabilize indirect reciprocity. Additionally, scholars have suggested that the benefits of indirect reciprocity may have been important for the evolution of language and that social signals may have coevolved with large-scale cooperation. This paper investigates the possibility of such a coevolution. Using the (...)
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  33. Brian Skyrms (1978). An Immaculate Conception of Modality or How to Confuse Use and Mention. Journal of Philosophy 75 (7):368-387.score: 120.0
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  34. Daniel C. Dennett, Brian Skyrms & Lawrence Sklar, -2001.score: 120.0
    Paul Valéry1 Valéry’s “Variation sur Descartes” excellently evokes the vanishing act that has haunted philosophy ever since Darwin overturned the Cartesian tradition. If my body is composed of nothing but a team of a few trillion robotic cells, mindlessly interacting to produce all the large-scale patterns that tradition would attribute to the nonmechanical workings of my mind, there seems to be nothing left over to be me. Lurking in Darwin’s shadow there is a bugbear: the incredible Disappearing Self.2 One of (...)
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  35. Brian Skyrms (1965). On Failing to Vindicate Induction. Philosophy of Science 32 (3/4):253-268.score: 120.0
    The structure of Reichenbach's pragmatic vindication of induction is analysed in detail. The argument is seen to proceed in two stages, the first being a pragmatic justification of the frequency interpretation of probability which is taken as a license for considering the aim of induction to be the discovery of limiting relative frequencies, and the second being the pragmatic justification of induction itself. Both justifications are found to contain flaws, and the arguments used to support Reichenbach's definition of the aim (...)
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  36. Brian Skyrms (1998). Subjunctive Conditionals and Revealed Preference. Philosophy of Science 65 (4):545-574.score: 120.0
    Subjunctive conditionals are fundamental to rational decision both in single agent and multiple agent decision problems. They need explicit analysis only when they cause problems, as they do in recent discussions of rationality in extensive form games. This paper examines subjunctive conditionals in the theory of games using a strict revealed preference interpretation of utility. Two very different models of games are investigated, the classical model and the limits of reality model. In the classical model the logic of backward induction (...)
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  37. Brian Skyrms (2006). Diachronic Coherence and Radical Probabilism. Philosophy of Science 73 (5):959-968.score: 120.0
    The question of diachronic coherence, coherence of degrees of belief across time, is investigated within the context of Richard Jeffrey’s radical probabilism. Diachronic coherence is taken as fundamental, and coherence results for degrees of belief at a single time, such as additivity, are recovered only with additional assumptions. Additivity of probabilities of probabilities is seen to be less problematic than additivity of first-order probabilities. Without any assumed model of belief change, diachronic coherence applied to higher-order degrees of belief yields the (...)
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  38. Brian Skyrms (1992). Chaos in Game Dynamics. Journal of Logic, Language and Information 1 (2).score: 120.0
    Two examples demonstrate the possibility of extremely complicated non-convergent behavior in evolutionary game dynamics. For the Taylor-Jonker flow, the stable orbits for three strategies were investigated by Zeeman. Chaos does not occur with three strategies. This papers presents numerical evidence that chaotic dynamics on a strange attractor does occur with four strategies. Thus phenomenon is closely related to known examples of complicated behavior in Lotka-Volterra ecological models.
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  39. Brian Skyrms (1991). Carnapian Inductive Logic for Markov Chains. Erkenntnis 35 (1-3):439 - 460.score: 120.0
    Carnap's Inductive Logic, like most philosophical discussions of induction, is designed for the case of independent trials. To take account of periodicities, and more generally of order, the account must be extended. From both a physical and a probabilistic point of view, the first and fundamental step is to extend Carnap's inductive logic to the case of finite Markov chains. Kuipers (1988) and Martin (1967) suggest a natural way in which this can be done. The probabilistic character of Carnapian inductive (...)
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  40. Brian Skyrms (1974). Contraposition of the Conditional. Philosophical Studies 26 (2):145 - 147.score: 120.0
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  41. Brian Skyrms (1985). Maximum Entropy Inference as a Special Case of Conditionalization. Synthese 63 (1):55 - 74.score: 120.0
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  42. Brian Skyrms (1968). Supervaluations: Identity, Existence, and Individual Concepts. Journal of Philosophy 65 (16):477-482.score: 120.0
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  43. Simon M. Huttegger & Brian Skyrms (2008). Emergence of Information Transfer by Inductive Learning. Studia Logica 89 (2):237 - 256.score: 120.0
    We study a simple game theoretic model of information transfer which we consider to be a baseline model for capturing strategic aspects of epistemological questions. In particular, we focus on the question whether simple learning rules lead to an efficient transfer of information. We find that reinforcement learning, which is based exclusively on payoff experiences, is inadequate to generate efficient networks of information transfer. Fictitious play, the game theoretic counterpart to Carnapian inductive logic and a more sophisticated kind of learning, (...)
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  44. Brian Skyrms (1989). Introduction to 'Three Theories of Metaphysics'. Synthese 81 (2):203-205.score: 120.0
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  45. Brian Skyrms, Learning to Network.score: 120.0
    In species capable of learning, including our own, individuals can modify their behavior by some adaptive process. Important classes of behavior - mating, predation, coalitions, trade, signaling, and division of labor - involve interactions between individuals. The agents involved learn two things: with whom to interact and how to act. That is to say that adaptive dynamics operates both on structure and strategy.
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  46. Brian Skyrms, Raffaele Argiento, Robin Pemantle & and Stanislav Volkov, Learning to Signal: Analysis of a Micro-Level Reinforcement Model.score: 120.0
    We consider the following signaling game. Nature plays first from the set {1, 2}. Player 1 (the Sender) sees this and plays from the set {A, B}. Player 2 (the Receiver) sees only Player 1’s play and plays from the set {1, 2}. Both players win if Player 2’s play equals Nature’s play and lose otherwise. Players are told whether they have won or lost, and the game is repeated. An urn scheme for learning coordination in this game is as (...)
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  47. Brian Skyrms, Pragmatics, Logic, and Information Processing.score: 120.0
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  48. Brian Skyrms (2008). Presidential Address: Signals. Philosophy of Science 75 (5):489-500.score: 120.0
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  49. Brian Skyrms (1995). Strict Coherence, Sigma Coherence and the Metaphysics of Quantity. Philosophical Studies 77 (1):39-55.score: 120.0
  50. Brian Skyrms (2002). Signals, Evolution and the Explanatory Power of Transient Information. Philosophy of Science 69 (3):407-428.score: 120.0
    Pre‐play signals that cost nothing are sometimes thought to be of no significance in interactions which are not games of pure common interest. We investigate the effect of pre‐play signals in an evolutionary setting for Assurance, or Stag Hunt, games and for a Bargaining game. The evolutionary game with signals is found to have dramatically different dynamics from the same game without signals. Signals change stability properties of equilibria in the base game, create new polymorphic equilibria, and change the basins (...)
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  51. Rory Smead (2008). The Evolution of Cooperation in the Centipede Game with Finite Populations. Philosophy of Science 75 (2):157-177.score: 120.0
    The partial cooperation displayed by subjects in the Centipede Game deviates radically from the predictions of traditional game theory. Even standard, infinite population, evolutionary settings have failed to provide an explanation for this behavior. However, recent work in finite population evolutionary models has shown that such settings can produce radically different results from the standard models. This paper examines the evolution of partial cooperation in finite populations. The results reveal a new possible explanation that is not open to the standard (...)
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  52. Jason Alexander & Brian Skyrms, The (Spatial) Evolution of the Equal Split.score: 120.0
    The replicator dynamics have been used to study the evolution of a population of rational agents playing the Nash bargaining game, where an individual's "fitness" is determined by an individual's success in playing the game. In these models, a population whose initial conditions was randomly chosen from the space of population proportions converges to a state of fair division approximately 62% of the time. (Higher rates of convergence to final states of fair division can be obtained by introducing artificial correlations (...)
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  53. Brian Skyrms (1982). Counterfactual Definiteness and Local Causation. Philosophy of Science 49 (1):43-50.score: 120.0
    Bell's Theorem is proved for locality and conservation formulated in terms of subjunctive conditionals with chance consequents, rather than the usual conditional probability formulation. This brings into sharp focus the minimal counterfactual assumptions needed for Bell's theorem.
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  54. Brian Skyrms (1987). Dynamic Coherence and Probability Kinematics. Philosophy of Science 54 (1):1-20.score: 120.0
    The question of coherence of rules for changing degrees of belief in the light of new evidence is studied, with special attention being given to cases in which evidence is uncertain. Belief change by the rule of conditionalization on an appropriate proposition and belief change by "probability kinematics" on an appropriate partition are shown to have like status.
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  55. Brian Skyrms (2000). Stability and Explanatory Significance of Some Simple Evolutionary Models. Philosophy of Science 67 (1):94-113.score: 120.0
    even if an equilibrium is asymptotically stable, that is no guarantee that the system will reach that equilibrium unless we know that the system's initial state is sufficiently close to the equilibrium. Global stability of an equilibrium, when we have it, gives the equilibrium a much more powerful explanatory role. An equilibrium is globally asymptotically stable if the dynamics carries every possible initial state in the interior of the state space to that equilibrium. If an equilibrium is globally stable, it (...)
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  56. Brian Skyrms (1998). Salience and Symmetry-Breaking in the Evolution of Convention. Law and Philosophy 17 (4):411 - 418.score: 120.0
    Since monkeys certainly understand much that is said to them by man, and when wild, utter signal-cries of danger to their fellows; and since fowls give distinct warnings for danger on the ground, or in the sky from hawks (both, as well, a third cry, intelligible to dogs), may not some unusually wise ape-like animal have imitated the growl of a beast of prey, and thus told his fellow-monkeys the nature of the expected danger? This would have been the first (...)
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  57. Brian Skyrms (2007). Dynamic Networks and the Stag Hunt: Some Robustness Considerations. Biological Theory 2 (1):7-9.score: 120.0
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  58. Dag Prawitz, Brian Skyrms & Dag Westerståhl (eds.) (1994). Logic, Methodology, and Philosophy of Science Ix: Proceedings of the Ninth International Congress of Logic, Methodology, and Philosophy of Science, Uppsala, Sweden, August 7-14, 1991. [REVIEW] Elsevier.score: 120.0
    This volume is the product of the Proceedings of the 9th International Congress of Logic, Methodology and Philosophy of Science and contains the text of most of ...
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  59. Brian Skyrms (1970). Return of the Liar: Three-Valued Logic and the Concept of Truth. American Philosophical Quarterly 7 (2):153 - 161.score: 120.0
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  60. Kevin J. S. Zollman & Rory Smead (2010). Plasticity and Language: An Example of the Baldwin Effect? Philosophical Studies 147 (1).score: 120.0
    In recent years, many scholars have suggested that the Baldwin effect may play an important role in the evolution of language. However, the Baldwin effect is a multifaceted and controversial process and the assessment of its connection with language is difficult without a formal model. This paper provides a first step in this direction. We examine a game-theoretic model of the interaction between plasticity (represented by Herrnstein reinforcement learning) and evolution in the context of a simple language game. (...)
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  61. Brian Skyrms (1990). Ratifiability and the Logic of Decision1. Midwest Studies in Philosophy 15 (1):44-56.score: 120.0
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  62. Brian Skyrms (1981). Mates Quantification and Intensional Logic. Australasian Journal of Philosophy 59 (2):177 – 188.score: 120.0
  63. Brian Skyrms (1985). Ultimate and Proximate Consequences in Causal Decision Theory. Philosophy of Science 52 (4):608-611.score: 120.0
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  64. Brian Skyrms (1976). Definitions of Semantical Reference and Self-Reference. Notre Dame Journal of Formal Logic 17 (1):147-148.score: 120.0
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  65. Alan Hájek & Brian Skyrms (2000). Bayes or Bust? Philosophy and Phenomenological Research 60 (3):707-711.score: 120.0
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  66. Brian Skyrms (1993). A Mistake in Dynamic Coherence Arguments? Philosophy of Science 60 (2):320-328.score: 120.0
    Maher (1992b) advances an objection to dynamic Dutch-book arguments, partly inspired by the discussion in Levi (1987; in particular by Levi's case 2, p. 204). Informally, the objection is that the decision maker will "see the dutch book coming" and consequently refuse to bet, thus escaping the Dutch book. Maher makes this explicit by modeling the decision maker's choices as a sequential decision problem. On this basis he claims that there is a mistake in dynamic coherence arguments. There is really (...)
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  67. Rory Smead & Kevin J. S. Zollman, The Stability of Strategic Plasticity.score: 120.0
    Recent research into the evolution of higher cognition has piqued an interest in the effect of natural selection on the ability of creatures to respond to their environment (behavioral plasticity). It is believed that environmental variation is required for plasticity to evolve in cases where the ability to be plastic is costly. We investigate one form of environmental variation: frequency dependent selection. Using tools in game theory, we investigate a few models of plasticity and outline the cases where selection would (...)
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  68. Brian Skyrms (1993). Carnapian Inductive Logic for a Value Continuum. Midwest Studies in Philosophy 18 (1):78-89.score: 120.0
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  69. Brian Skyrms (1986). Deliberational Equilibria. Topoi 5 (1):59-67.score: 120.0
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  70. Brian Skyrms (1986). Introduction. Topoi 5 (1):1-1.score: 120.0
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  71. Brian Skyrms, Time to Absorption in Discounted Reinforcement Models.score: 120.0
    Reinforcement schemes are a class of non-Markovian stochastic processes. Their non-Markovian nature allows them to model some kind of memory of the past. One subclass of such models are those in which the past is exponentially discounted or forgotten. Often, models in this subclass have the property of becoming trapped with probability 1 in some degenerate state. While previous work has concentrated on such limit results, we concentrate here on a contrary effect, namely that the time to become trapped may (...)
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  72. Peter Vanderschraaf & Brian Skyrms (2003). Learning to Take Turns. Erkenntnis 59 (3):311 - 348.score: 120.0
    Learning to take turns in repeated game situations is a robust phenomenon in both laboratory experiments and in everyday life. Nevertheless, it has received little attention in recent studies of learning dynamics in games. We investigate the simplest and most obvious extension of fictitious play to a learning rule that can recognize patterns, and show how players using this rule can spontaneously learn to take turns.
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  73. Nicholas Rescher & F. Brian Skyrms (1968). A Methodological Problem in the Evaluation of Explanations. Noûs 2 (2):121-129.score: 120.0
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  74. Brian Skyrms (2002). Altruism, Inclusive Fitness, and "the Logic of Decision". Proceedings of the Philosophy of Science Association 2002 (3):S104-S111.score: 120.0
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  75. Brian Skyrms (1992). Chaos and the Explanatory Significance of Equilibrium: Strange Attractors in Evolutionary Game Dynamics. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:374 - 394.score: 120.0
    This paper discusses the explanatory significance of the equilibrium concept in the context of an example of extremely complicated dynamical behavior. In particular, numerical evidence is presented for the existence of chaotic dynamics on a "strange attractor" in the evolutionary game dynamics introduced by Taylor and Jonker [also known as the "replicator dynamics"]. This phenomenon is present already in four strategy evolutionary games where the dynamics takes place in a simplex in three dimensional space-the lowest number of dimensions in (...)
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  76. Brian Skyrms (1988). Deliberational Dynamics and the Foundations of Bayesian Game Theory. Philosophical Perspectives 2:345-367.score: 120.0
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  77. Brian Skyrms (1999). Introduction to the Special Issue on Statistics and Causation. Synthese 121 (1-2):1-2.score: 120.0
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  78. Brian Skyrms, Network Formation by Reinforcement Learning: The Long and Medium Run.score: 120.0
    We investigate a simple stochastic model of social network formation by the process of reinforcement learning with discounting of the past. In the limit, for any value of the discounting parameter, small, stable cliques are formed. However, the time it takes to reach the limiting state in which cliques have formed is very sensitive to the discounting parameter. Depending on this value, the limiting result may or may not be a good predictor for realistic observation times.
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  79. Dorothy Grover, David Malament & Brian Skyrms (1982). Leslie Tharp 1940-1981. Proceedings and Addresses of the American Philosophical Association 56 (1):100 -.score: 120.0
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  80. Brian Skyrms (1993). Deliberational Correlated Equilibria. Philosophical Topics 21 (1):191-227.score: 120.0
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  81. Brian Skyrms (1999). Précis of Evolution of the Social Contract. Philosophy and Phenomenological Research 59 (1):217-220.score: 120.0
  82. Brian Skyrms (1996). Review. [REVIEW] British Journal for the Philosophy of Science 47 (4).score: 120.0
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  83. Brian Skyrms (1999). Review: Précis of Evolution of the Social Contract. [REVIEW] Philosophy and Phenomenological Research 59 (1):217 - 220.score: 120.0
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  84. Brian Skyrms (forthcoming). The Core Theory of Subjunctive Conditionals. Synthese.score: 120.0
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  85. Brian Skyrms (1989). Correlated Equilibria and the Dynamics of Rational Deliberation. Erkenntnis 31 (2-3):347 - 364.score: 120.0
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  86. Brian Skyrms (2012). Learning to Signal with Probe and Adjust. Episteme 9 (2):139-150.score: 120.0
    This is an investigation of the emergence of signaling using one kind of trial and error learning: probe and adjust.
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  87. Brian Skyrms (1964). Professor Grünbaum and Teleological Mechanisms. Philosophy of Science 31 (1):62-64.score: 120.0
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  88. Brian Skyrms (1999). Review: Reply to Critics. [REVIEW] Philosophy and Phenomenological Research 59 (1):243 - 254.score: 120.0
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  89. Brian Skyrms (1987). Updating, Supposing, and Maxent. Theory and Decision 22 (3):225-246.score: 120.0
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  90. Charles Chihara & Brian Skyrms (1989). Guest Editors' Preface. Synthese 81 (2):139-139.score: 120.0
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  91. Simon M. Huttegger, Brian Skyrms & Kevin J. S. Zollman (forthcoming). Probe and Adjust in Information Transfer Games. Erkenntnis:1-19.score: 120.0
    We study a low-rationality learning dynamics called probe and adjust. Our emphasis is on its properties in games of information transfer such as the Lewis signaling game or the Bala-Goyal network game. These games fall into the class of weakly better reply games, in which, starting from any action profile, there is a weakly better reply path to a strict Nash equilibrium. We prove that probe and adjust will be close to strict Nash equilibria in this class of games with (...)
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  92. Brian Skyrms (1980). . In The Role of Causal Factors in Rational Decision. Yale University Press.score: 120.0
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  93. Brian Skyrms (1975). Choice and Chance: An Introduction to Inductive Logic. Dickenson Pub. Co..score: 120.0
  94. Brian Skyrms (1966). Choice and Chance. Belmont, Calif.,Dickenson Pub. Co..score: 120.0
  95. Brian Skyrms (2002). Critical Commentary on Unto Others. Philosophy and Phenomenological Research 65 (3):697–701.score: 120.0
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  96. Brian Skyrms (1994). Convergence in Radical Probabilism. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1994:349 - 353.score: 120.0
    It is shown how martingale convergence theorems apply to coherent belief change in radical probabilist epistemology.
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  97. Brian Skyrms (1980). Causal Necessity: A Pragmatic Investigation of the Necessity of Laws. Yale University Press.score: 120.0
  98. Brian Skyrms (2005). Dynamics of Conformist Bias. The Monist 88 (2):260-269.score: 120.0
    We compare replicator dynamics for some simple games with and without the addition of conformist bias. The addition of conformist bias can create equilibria, it can change the stability properties of existing equilibria, it may leave the equilibrium structure intact but change the relative size of basins of attraction, or it may do nothing at all. Examples of each of the foregoing are given.
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  99. Brian Skyrms & Simon M. Huttegger (2013). Emergence of a Signaling Network with Probe and Adjust. In Kim Sterelny, Richard Joyce, Brett Calcott & Ben Fraser (eds.), Cooperation and its Evolution. MIT Press.score: 120.0
     
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