182 found
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  1.  40
    Signals: Evolution, Learning, and Information.Brian Skyrms - 2010 - Oxford University Press.
    Brian Skyrms offers a fascinating demonstration of how fundamental signals are to our world. He uses various scientific tools to investigate how meaning and communication develop. Signals operate in networks of senders and receivers at all levels of life, transmitting and processing information. That is how humans and animals think and interact.
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  2.  49
    Evolution of the Social Contract.Brian Skyrms - 1996 - Cambridge University Press.
    In this pithy and highly readable 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 skilfully employed to offer new interpretations of a wide variety of social phenomena, including justice, mutual aid, commitment, convention and meaning. The author 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 (...)
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  3. The Stag Hunt and the Evolution of Social Structure.Brian Skyrms - 2003 - Cambridge University Press.
    Brian Skyrms, author of the successful Evolution of the Social Contract has written a sequel. The book is a study of ideas of cooperation and collective action. The point of departure is a prototypical story found in Rousseau's A Discourse on Inequality. Rousseau contrasts the pay-off of hunting hare where the risk of non-cooperation is small but the reward is equally small, against the pay-off of hunting the stag where maximum cooperation is required but where the reward is so much (...)
     
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  4.  44
    Causal Necessity: A Pragmatic Investigation of the Necessity of Laws.Brian Skyrms - 1980 - Yale University Press.
  5. The Dynamics of Rational Deliberation.Brian Skyrms - 1990 - Harvard University Press.
     
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  6.  9
    The Stag Hunt and the Evolution of Social Structure.Brian Skyrms - 2007 - Studia Logica 85 (1):133-138.
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  7.  46
    Signals.Brian Skyrms - 2008 - Philosophy of Science 75 (5):489-500.
  8. Evolutionary Dynamics of Lewis Signaling Games: Signaling Systems Vs. Partial Pooling.Simon Huttegger, Brian Skyrms, Rory Smead & Kevin Zollman - 2010 - Synthese 172 (1):177-191.
    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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  9. Bargaining With Neighbors.Jason Alexander & Brian Skyrms - 1999 - Journal of Philosophy 96 (11):588-598.
  10. Evolution of the Social Contract.Brian Skyrms - 1997 - Philosophy 72 (282):604-606.
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  11.  17
    Evolution of the Social Contract.Brian Skyrms - 1999 - Philosophical and Phenomenological Research 59 (1):229-236.
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  12.  36
    Learning to Signal: Analysis of a Micro-Level Reinforcement Model.Brian Skyrms, Raffaele Argiento, Robin Pemantle & and Stanislav Volkov - manuscript
    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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  13.  28
    Pragmatics and Empiricism.Brian Skyrms - 1988 - Philosophical Review 97 (1):118-121.
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  14.  12
    Sex and Justice.Brian Skyrms - 1994 - Journal of Philosophy 91 (6):305-320.
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  15. A Dynamic Model of Social Network Formation.Brian Skyrms - unknown
    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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  16. Higher Order Degrees of Belief.Brian Skyrms - 1980 - In D. H. Mellor (ed.), Prospects for Pragmatism. Cambridge University Press. pp. 109--137.
  17.  23
    Self-Assembling Games.Jeffrey A. Barrett & Brian Skyrms - 2017 - British Journal for the Philosophy of Science 68 (2):329-353.
    We consider how cue-reading, sensory-manipulation, and signaling games may initially evolve from ritualized decisions and how more complex games may evolve from simpler games by polymerization, template transfer, and modular composition. Modular composition is a process that combines simpler games into more complex games. Template transfer, a process by which a game is appropriated to a context other than the one in which it initially evolved, is one mechanism for modular composition. And polymerization is a particularly salient example of modular (...)
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  18.  52
    Dynamic Coherence and Probability Kinematics.Brian Skyrms - 1987 - Philosophy of Science 54 (1):1-20.
    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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  19.  8
    Causal Necessity.Brian Skyrms - 1981 - Philosophy of Science 48 (2):329-335.
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  20.  43
    Probe and Adjust in Information Transfer Games.Simon M. Huttegger, Brian Skyrms & Kevin J. S. Zollman - 2014 - Erkenntnis 79 (S4):1-19.
    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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  21.  41
    Self-Assembling Games.Jeffrey A. Barrett & Brian Skyrms - unknown
    We consider how cue-reading, sensory-manipulation, and signaling games may initially evolve from ritualized decisions and how more complex games may evolve from simpler games by polymerization, template transfer, and modular composition. Modular composition is a process that combines simpler games into more complex games. Template transfer, a process by which a game is appropriated to a context other than the one in which it initially evolved, is one mechanism for modular composition. And polymerization is a particularly salient example of modular (...)
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  22.  92
    Causal Decision Theory.Brian Skyrms - 1982 - Journal of Philosophy 79 (11):695-711.
  23.  44
    Self-Assembling Networks.Jeffrey A. Barrett, Brian Skyrms & Aydin Mohseni - 2019 - British Journal for the Philosophy of Science 70 (1):1-25.
    We consider how an epistemic network might self-assemble from the ritualization of the individual decisions of simple heterogeneous agents. In such evolved social networks, inquirers may be significantly more successful than they could be investigating nature on their own. The evolved network may also dramatically lower the epistemic risk faced by even the most talented inquirers. We consider networks that self-assemble in the context of both perfect and imperfect communication and compare the behaviour of inquirers in each. This provides a (...)
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  24. The Dynamics of Norms.Cristina Bicchieri, Richard Jeffrey & Brian Skyrms (eds.) - 2009 - Cambridge University Press.
    In the social sciences norms are sometimes taken to play a key explanatory role. Yet norms differ from group to group, from society to society, and from species to species. How are norms formed and how do they change? This 'state-of-the-art' collection of essays presents some of the best contemporary research into the dynamic processes underlying the formation, maintenance, metamorphosis and dissolution of norms. The volume combines formal modelling with more traditional analysis, and considers biological and cultural evolution, individual learning, (...)
     
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  25.  81
    Probability and Conditionals: Belief Revision and Rational Decision.Ellery Eells & Brian Skyrms (eds.) - 1994 - Cambridge University Press.
    This collection of essays is on the relation between probabilities, especially conditional probabilities, and conditionals. It provides 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 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's work the contributions extend his ideas in (...)
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  26. Rationality and Coordination.Cristina Bicchieri & Brian Skyrms - 1996 - British Journal for the Philosophy of Science 47 (4):627-629.
    This book explores how individual actions coordinate to produce unintended social consequences. In the past this phenomenon has been explained as the outcome of rational, self-interested individual behaviour. Professor Bicchieri shows that this is in no way a satisfying explanation. She discusses how much knowledge is needed by agents in order to coordinate successfully. If the answer is unbounded knowledge, then a whole variety of paradoxes arise. If the answer is very little knowledge, then there seems hardly any possibility of (...)
     
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  27.  86
    The Flow of Information in Signaling Games.Brian Skyrms - 2010 - Philosophical Studies 147 (1):155 - 165.
    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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  28.  13
    Mill's Conversion: The Herschel Connection.Brian Skyrms - 2018 - Philosophers' Imprint 18 (23).
    Between the first and second editions of A System of Logic, John Stuart Mill underwent a startling conversion from an uncompromising frequentist philosophy of probability to a thoroughly Bayesian degree-of-belief view. The conversion was effected by correspondence with the eminent scientist Sir John Herschel, to whom Mill already owed what have become known as Mill's Methods of Experimental Inference. We present the relevant correspondence, and discuss the extent of Mill's conversion.
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  29. Choice and Chance: An Introduction to Inductive Logic.Brian Skyrms - 1966 - Dickenson Pub. Co..
  30.  25
    Choice and Chance.Brian Skyrms - 1966 - Belmont, Calif., Dickenson Pub. Co..
  31.  2
    Inventing New Signals.Jason McKenzie Alexander, Brian Skyrms & Sandy L. Zabell - 2012 - Dynamic Games and Applications 2 (1):129-145.
    Amodel for inventing newsignals is introduced in the context of sender–receiver games with reinforcement learning. If the invention parameter is set to zero, it reduces to basic Roth–Erev learning applied to acts rather than strategies, as in Argiento et al.. If every act is uniformly reinforced in every state it reduces to the Chinese Restaurant Process—also known as the Hoppe–Pólya urn—applied to each act. The dynamics can move players from one signaling game to another during the learning process. Invention helps (...)
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  32.  45
    Stability and Explanatory Significance of Some Simple Evolutionary Models.Brian Skyrms - 2000 - Philosophy of Science 67 (1):94-113.
    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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  33. Cambridge and Vienna: Frank P. Ramsey and the Vienna Circle.Gabriele Taylor, Brian Mcguinness, Sir Michael Dummett, Patrick Suppes, Brian Skyrms & Stathis Psillos - 2006 - Springer Verlag.
  34. Tractarian Nominalism.Brian Skyrms - 1981 - Philosophical Studies 40 (2):199 - 206.
  35.  75
    The Stag Hunt.Brian Skyrms - 2001 - Proceedings and Addresses of the American Philosophical Association 75 (2):31 - 41.
    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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  36. .Brian Skyrms - 1980 - In The Role of Causal Factors in Rational Decision. Yale University Press.
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  37.  80
    Signals, Evolution and the Explanatory Power of Transient Information.Brian Skyrms - 2002 - Philosophy of Science 69 (3):407-428.
    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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  38.  37
    Updating, Supposing, and Maxent.Brian Skyrms - 1987 - Theory and Decision 22 (3):225-246.
  39.  67
    Darwin Meets the Logic of Decision: Correlation in Evolutionary Game Theory.Brian Skyrms - 1994 - Philosophy of Science 61 (4):503-528.
    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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  40.  27
    Presidential Address: Signals.Brian Skyrms - 2008 - Philosophy of Science 75 (5):489-500.
  41. Trust, Risk, and the Social Contract.Brian Skyrms - 2008 - Synthese 160 (1):21-25.
    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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  42.  11
    Emergence of a Signaling Network with Probe and Adjust.Brian Skyrms & Simon M. Huttegger - 2013 - In Kim Sterelny, Richard Joyce, Brett Calcott & Ben Fraser (eds.), Cooperation and its Evolution. MIT Press. pp. 265.
  43.  54
    A Mistake in Dynamic Coherence Arguments?Brian Skyrms - 1993 - Philosophy of Science 60 (2):320-328.
    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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  44.  4
    Bargaining with Neighbors: Is Justice Contagious?Jason Alexander & Brian Skyrms - 1999 - Journal of Philosophy 96 (11):588.
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  45.  85
    Resiliency, Propensities, and Causal Necessity.Brian Skyrms - 1977 - Journal of Philosophy 74 (11):704-713.
  46. Learning to Transfer Information.Simon M. Huttegger & Brian Skyrms - forthcoming - Studia Logica.
  47.  48
    Maximum Entropy Inference as a Special Case of Conditionalization.Brian Skyrms - 1985 - Synthese 63 (1):55 - 74.
  48. The Explication of "X Knows That P".Brian Skyrms - 1967 - Journal of Philosophy 64 (12):373-389.
  49.  15
    Conditional Probability, Taxicabs, and Martingales.Brian Skyrms - 1981 - Behavioral and Brain Sciences 4 (3):351.
  50.  12
    Learning to Signal with Probe and Adjust.Brian Skyrms - 2012 - Episteme 9 (2):139-150.
    This is an investigation of the emergence of signaling using one kind of trial and error learning: probe and adjust.Export citation Request permission.
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