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Self-organizing Coalitions for Managing Complexity : Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / / by Juan C. Burguillo



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Autore: Burguillo Juan C Visualizza persona
Titolo: Self-organizing Coalitions for Managing Complexity : Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / / by Juan C. Burguillo Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XVI, 343 p. 187 illus., 149 illus. in color.)
Disciplina: 003.7
Soggetto topico: Computational complexity
Computational intelligence
Operations research
Decision making
Physics
Complexity
Computational Intelligence
Operations Research/Decision Theory
Applications of Graph Theory and Complex Networks
Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
Nota di contenuto: Introduction.- Complex Systems -- Complex Networks.- Cellular Automata.- Multi-agent Systems -- Self-Organization.- Game Theory.- Optimization Models with Coalitional Cellular Automata -- Time Series Prediction using Coalitions and Self-Organizing Maps.
Sommario/riassunto: This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master’s students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.
Titolo autorizzato: Self-organizing Coalitions for Managing Complexity  Visualizza cluster
ISBN: 3-319-69898-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299892303321
Lo trovi qui: Univ. Federico II
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Serie: Emergence, Complexity and Computation, . 2194-7287 ; ; 29