Self-organizing coalitions for managing complexity : agent-based simulation of evolutionary game theory models using dynamic social networks for interdisciplinary applications / Juan C. Burguillo.
2018
Q325
Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Self-organizing coalitions for managing complexity : agent-based simulation of evolutionary game theory models using dynamic social networks for interdisciplinary applications / Juan C. Burguillo.
Author
ISBN
9783319698984 (electronic book)
3319698982 (electronic book)
9783319698960
3319698966
9783319698960
3319698982 (electronic book)
9783319698960
3319698966
9783319698960
Published
Cham, Switzerland : Springer, 2018.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-69898-4 doi
Call Number
Q325
Dewey Decimal Classification
003/.7
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (viewed December 27, 2017).
Series
Emergence, complexity and computation ; 29.
Available in Other Form
Print version: 9783319698960
Linked Resources
Record Appears in
Table of Contents
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.
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.