Overview
- Provides a single hands-on guide to developing cognitive agent-based models
- Present practical ideas and examples for researchers and practitioners
- Explores the emergence across various types of complex systems
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Cognitive Computation (BRIEFSCC)
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About this book
Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been vertical in nature. The goal of this manuscript is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems, research networks, epidemiological HIV
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Table of contents (4 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Cognitive Agent-based Computing-I
Book Subtitle: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods
Authors: Muaz A Niazi, Amir Hussain
Series Title: SpringerBriefs in Cognitive Computation
DOI: https://doi.org/10.1007/978-94-007-3852-2
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-94-007-3851-5Published: 30 October 2012
eBook ISBN: 978-94-007-3852-2Published: 31 October 2012
Series ISSN: 2212-6023
Series E-ISSN: 2212-6031
Edition Number: 1
Number of Pages: XIV, 55
Number of Illustrations: 2 b/w illustrations, 7 illustrations in colour
Topics: Neurosciences, Computer Science, general, Mathematics, general, Cognitive Psychology, Biological and Medical Physics, Biophysics