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Generative social science : studies in agent-based computational modeling
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Generative social science : studies in agent-based computational modeling

Auteur : Joshua M Epstein
Éditeur : Princeton, N.J. ; Woodstock : Princeton University Press, 2007.
Édition/format :   Livre : AnglaisVoir toutes les éditions et les formats
Résumé :

Agent-based computational modeling is changing the face of social science. This title argues that this technique permits the social sciences to meet a fundamentally standard of explanation, in which  Lire la suite...

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Détails

Format : Livre
Tous les auteurs / collaborateurs : Joshua M Epstein
ISBN : 0691125473 9780691125473
Numéro OCLC : 71541699
Notes : Includes CD-ROM.
Description : p. cm.
Contenu : Introduction xi Prelude to Chapter 1: The Generativist Manifesto 1 Chapter 1: Agent-Based Computational Models and Generative Social Science by Joshua M. Epstein 4 Prelude to Chapter 2: Confession of a Wandering Bark 47 Chapter 2: Remarks on the Foundations of Agent-Based Generative Social Science by Joshua M. Epstein 50 Prelude to Chapter 3: Equilibrium, Explanation, and Gauss's Tombstone 72 Chapter 3: Non-Explanatory Equilibria: An Extremely Simple Game with (Mostly) Unattainable Fixed Points by Joshua M. Epstein and Ross A. Hammond 75 Appendix to Chapter 3: Large Effect of a Subtle Rule Change 86 Prelude to Chapters 4-6: Generating Civilizations: The 1050 Project and the Artificial Anasazi Model 88 Chapter 4: Understanding Anasazi Culture Change through Agent-Based Modeling Jeffrey S. Dean, George J. Gumerman, Joshua M. Epstein, Robert L. Axtell, Alan C. Swedlund, Miles T. Parker, and Stephen McCarroll 90 Chapter 5: Population Growth and Collapse in a Multiagent Model of the Kayenta Anasazi in Long House Valley by Robert L. Axtell, Joshua M. Epstein, Jeffrey S. Dean, George J. Gumerman, Alan C. Swedlund, Jason Harburger, Shubha Chakravarty, Ross Hammond, Jon Parker, and Miles Parker 117 Chapter 6: The Evolution of Social Behavior in the Prehistoric American Southwest by George J. Gumerman, Alan C. Swedlund, Jeffrey S. Dean, and Joshua M. Epstein 130 Prelude to Chapter 7: Generating Patterns in the Timing of Retirement 144 Chapter 7: Coordination in Transient Social Networks: An Agent-Based Computational Model of the Timing of Retirement by Robert L. Axtell and Joshua M. Epstein 146 Prelude to Chapter 8: Generating Classes without Conquest 175 Chapter 8: The Emergence of Classes in a Multi-Agent Bargaining Model by Robert L. Axtell, Joshua M. Epstein, and H. Peyton Young 177 Prelude to Chapter 9: Generating Zones of Cooperation in the Prisoner's Dilemma Game 196 Chapter 9: Zones of Cooperation in Demographic Prisoner's Dilemma by Joshua M. Epstein 199 Appendix to Chapter 9: Generating Norm Maps in the Demographic Coordination Game 222 Prelude to Chapter 10: Generating Thoughtless Conformity to Norms 225 Chapter 10: Learning to be Thoughtless: Social Norms and Individual Computation by Joshua M. Epstein 228 Prelude to Chapter 11: Generating Patterns of Spontaneous Civil Violence 245 Chapter 11: Modeling Civil Violence: An Agent-Based Computational Approach by Joshua M. Epstein 247 Prelude to Chapter 12: Generating Epidemic Dynamics 271 Chapter 12: Toward a Containment Strategy for Smallpox Bioterror: An Individual-Based Computational Approach by Joshua M. Epstein, Derek A.T. Cummings, Shubha Chakravarty, Ramesh M. Singha, and Donald S. Burke 277 Prelude to Chapter 13: Generating Optimal Organizations 307 Chapter 13: Growing Adaptive Organizations: An Agent-Based Computational Approach by Joshua M. Epstein 309 Coda 345 Index 349
Responsabilité : Joshua M. Epstein.

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It should be noted that having all these contributions in one place is not only useful but pleasing...Epstein's book is a concise and well articulated defense of agent-based modeling. Generative Lire la suite...

 
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