Social Dynamics

Author:   Brian Skyrms (Stanford University)
Publisher:   Oxford University Press
ISBN:  

9780199652822


Pages:   354
Publication Date:   22 May 2014
Format:   Hardback
Availability:   To order   Availability explained
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Social Dynamics


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Overview

Brian Skyrms presents eighteen essays which apply adaptive dynamics (of cultural evolution and individual learning) to social theory. Altruism, spite, fairness, trust, division of labor, and signaling are treated from this perspective. Correlation is seen to be of fundamental importance. Interactions with neighbors in space, on static networks, and on co-evolving dynamics networks are investigated. Spontaneous emergence of social structure and of signaling systems are examined in the context of learning dynamics.

Full Product Details

Author:   Brian Skyrms (Stanford University)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 14.70cm , Height: 2.70cm , Length: 22.30cm
Weight:   0.568kg
ISBN:  

9780199652822


ISBN 10:   0199652821
Pages:   354
Publication Date:   22 May 2014
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Introduction Part I: Correlation and the Social Contract Introduction to part I 1: Evolution and the Social Contract Part II: Importance of Dynamics Introduction to part II 2: Trust, Risk, and the Social Contract 3: with Jason Alexander: Bargaining with Neighbors: Is Justice Contagious? 4: Stability and Explanatory Significance of Some Simple Evolutionary Models 5: Dynamics of Conformist Bias 6: Chaos and the Explanatory Significance of Equilibrium: Strange Attractors in Evolutionary Game Dynamics 7: with Jorge Pacheco, Francisco Santos and Max Souza: Evolutionary Dynamics of Collective Action in N-person Stag Hunt Dilemmas 8: with Peter Vanderschraaf: Learning to Take Turns 9: with Kevin Zollman: Evolutionary Considerations in the Framing of Social Norms Part III: Dynamic Networks Introduction to part III 10: with Robin Pemantle: Learning to Network 11: with Robin Pemantle: A Dynamic Model of Social Network Formation 12: with Robin Pemantle: Network Formation by Reinforcement Learning: The Long and the Medium Run 13: with Robin Pemantle: Time to Absorption in Discounted Reinforcement Models Part IV: Dynamics of Signals Introduction to part IV 14: with Raffaele Argiento, Robin Pemantle and Stanislav Volkov: Learning to Signal: Analysis of a Micro-Level Reinforcement Model 15: with Jason McKenzie Alexander and Sandy L. Zabell: Inventing New Signals 16: Signals, Evolution and the Explanatory Power of Transient Information 17: with Francesco Santos and Jorge Pacheco: Co-Evolution of Pre-Play Signaling and Cooperation 18: Evolution of Signaling Systems with Multiple Senders and Receivers Index

Reviews

It is rewarding and exemplifies a good way of doing formal philosophy. It sheds light on what evolutionary approaches, especially simulations, can and cannot do for philosophy. But mostly, it highlights the fact that our understanding of social phenomena cannot be complete if we neglect a dynamical point of view ... We may not need only books like this in philosophy; but we need some, and we certainly need more of them. And if the recent literature is any indication, we will have them - in no small part due to Skyrms' remarkable, pioneering work Cedric Paternotte, Notre Dame Philosophical Reviews


Author Information

Brian Skyrms is Distinguished Professor of Logic and Philosophy of Science and Economics at the University of California, Irvine. His interests cover a range of topics, including the evolution of conventions, the social contract, inductive logic, decision theory, rational deliberation, the metaphysics of logical atomism, causality, and truth. He is the author of Signals: Evolution, Learning, and Information (OUP, 2010) and From Zeno to Arbitrage: Essays on Quantity. Coherence, and Induction (OUP, 2012).

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