Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods

✍ Scribed by Muaz A Niazi, Amir Hussain (auth.)

Publisher: Springer Netherlands
Year: 2013
Tongue: English
Leaves: 65
Series: SpringerBriefs in Cognitive Computation 1
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

✦ Table of Contents

Front Matter....Pages i-xiv
Introduction....Pages 1-14
A Unified Framework....Pages 15-20
Complex Adaptive Systems....Pages 21-32
Modeling CAS....Pages 33-53
Back Matter....Pages 55-55

✦ Subjects

Neurosciences;Computer Science, general;Mathematics, general;Cognitive Psychology;Biophysics and Biological Physics

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