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Book Details

Cover of Agent_Zero

Agent_Zero : Toward Neurocognitive Foundations for Generative Social Science

ISBN 9780691158884
Pages 272
Year 2014
Edition 1
Subject PHYSIOLOGY
Rs 5368.00 Rs 4294.40
Description
In this pioneering synthesis, Joshua Epstein introduces a new theoretical entity: Agent_Zero. This software individual, or “agent,” is endowed with distinct emotional/affective, cognitive/deliberative, and social modules. Grounded in contemporary neuroscience, these internal components interact to generate observed, often far-from-rational, individual behavior. When multiple agents of this new type move and interact spatially, they collectively generate an astonishing range of dynamics spanning the fields of social conflict, psychology, public health, law, network science, and economics.

Epstein weaves a computational tapestry with threads from Plato, Hume, Darwin, Pavlov, Smith, Tolstoy, Marx, James, and Dostoevsky, among others. This transformative synthesis of social philosophy, cognitive neuroscience, and agent-based modeling will fascinate scholars and students of every stripe. Epstein’s computer programs are provided in the book or on its Princeton University Press website, along with movies of his “computational parables.?

Agent_Zero is a signal departure in what it includes (e.g., a new synthesis of neurally grounded internal modules), what it eschews (e.g., standard behavioral imitation), the phenomena it generates (from genocide to financial panic), and the modeling arsenal it offers the scientific community.

About Author(s)
 Joshua M. Epstein directs the Center for Advanced Modeling at The Johns Hopkins University, where he is a professor in the Department of Emergency Medicine with joint appointments in the Departments of Applied Mathematics, Economics, International Health, Environmental Health Sciences, Biostatistics, Civil Engineering, and the Institute for Computational Medicine. He is also an external professor at the Santa Fe Institute. This volume forms a trilogy on agent-based modeling, with Growing Artificial Societies: Social Science from the Bottom Up (MIT), with coauthor Robert Axtell, and Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton).
Content
Foreword

Preface

Acknowledgments

Introduction

MOTIVATION

THE MODEL COMPONENTS MODEL OVERVIEW

ORGANIZATION

Part I: Mathematical Model

Part II: Agent-Based Model

Part III: Extensions

Part IV: Future Research and Conclusions

Appendix I. Threshold Imputation Bounds

Appendix II. Mathematica Code

Appendix III. Agent_Zero NetLogo Source Code

Appendix IV. Parameter Settings for Model Runs

References

Index

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