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E-grāmata: Social Dynamics [Oxford Scholarship Online E-books]

(Stanford University)
  • Formāts: 354 pages
  • Izdošanas datums: 22-May-2014
  • Izdevniecība: Oxford University Press
  • ISBN-13: 9780199652822
  • Oxford Scholarship Online E-books
  • Cena pašlaik nav zināma
  • Formāts: 354 pages
  • Izdošanas datums: 22-May-2014
  • Izdevniecība: Oxford University Press
  • ISBN-13: 9780199652822
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.
List of Figures
vii
List of Tables
ix
Acknowledgments xi
Introduction xiii
Part I Correlation and the Social Contract
1(26)
1 Evolution and the Social Contract
3(24)
Part II Importance of Dynamics
27(120)
2 Trust, Risk, and the Social Contract
31(7)
3 Bargaining with Neighbors: Is Justice Contagious?
38(12)
Jason Alexander
4 Stability and Explanatory Significance of Some Simple Evolutionary Models
50(23)
5 Dynamics of Conformist Bias
73(10)
6 Chaos and the Explanatory Significance of Equilibrium: Strange Attractors in Evolutionary Game Dynamics
83(27)
7 Evolutionary Dynamics of Collective Action in N-person Stag Hunt Dilemmas
110(18)
Jorge M. Pacheco
Francisco C. Santos
Max O. Souza
8 Learning to Take Turns: The Basics
128(7)
Peter Vanderschraaf
9 Evolutionary Considerations in the Framing of Social Norms
135(12)
Kevin J. S. Zollman
Part III Dynamic Networks
147(74)
10 Learning to Network
149(14)
Robin Pemantle
11 A Dynamic Model of Social Network Formation
163(24)
Robin Pemantle
12 Network Formation by Reinforcement Learning: The Long and the Medium Run
187(18)
Robin Pemantle
13 Time to Absorption in Discounted Reinforcement Models
205(16)
Robin Pemantle
Part IV Dynamics of Signals
221(116)
14 Learning to Signal: Analysis of a Micro-level Reinforcement Model
225(25)
Raffaele Argiento
Robin Pemantle
Stanislav Volkov
15 Inventing New Signals
250(24)
Jason McKenzie Alexander
Sandy L. Zabell
16 Signals, Evolution, and the Explanatory Power of Transient Information
274(24)
17 Co-Evolution of Pre-play Signaling and Cooperation
298(16)
Francesco Santos
Jorge Pacheco
18 Evolution of Signaling Systems with Multiple Senders and Receivers
314(23)
Index 337
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).