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An Imitation-Based Approach to Modeling Homogenous Agents Societies

An Imitation-Based Approach to Modeling Homogenous Agents Societies

Copyright: © 2007 |Pages: 340
ISBN13: 9781591408390|ISBN10: 1591408393|EISBN13: 9781591408413
DOI: 10.4018/978-1-59140-839-0
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MLA

Trajkovski, Goran. An Imitation-Based Approach to Modeling Homogenous Agents Societies. IGI Global, 2007. https://doi.org/10.4018/978-1-59140-839-0

APA

Trajkovski, G. (2007). An Imitation-Based Approach to Modeling Homogenous Agents Societies. IGI Global. https://doi.org/10.4018/978-1-59140-839-0

Chicago

Trajkovski, Goran. An Imitation-Based Approach to Modeling Homogenous Agents Societies. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59140-839-0

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As interest in computer, cognitive, and social sciences grow, the need for alternative approaches to models in related-disciplines thrives. An Imitation-Based Approach to Modeling Homogenous Agents Societies offers a framework for modeling societies of autonomous agents that is heavily based on fuzzy algebraic tools. This publication overviews platforms developed with the purpose of simulating hypotheses or harvesting data from human subjects in efforts for calibration of the model of early learning in humans.

An Imitation-Based Approach to Modeling Homogenous Agents Societies reaches out to the cognitive sciences, psychology, and anthropology providing a different perspective on a few “classical” problems within these fields.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Foreword
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Preface
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Acknowledgments
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Chapters
Chapter 1
Theory  (pages 26-26)
Theory
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Chapter 2
Cases  (pages 115-115)
Cases
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Chapter 3
Alternatives  (pages 211-211)
Alternatives
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Back Materials
About the Author
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About the Contributors
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Index
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