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Cognitive Agent-based Computing-I

A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods

  • Book
  • © 2013

Overview

Authors:
  1. Muaz A Niazi

    1. , Computer & Software Engineering, Bahria University, Islamabad, Pakistan

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  2. Amir Hussain

    1. Dept. Computing Science, University of Stirling, Stirling, United Kingdom

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    You can also search for this author in PubMed   Google Scholar

  • 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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Table of contents (4 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Introduction

    • Muaz A Niazi, Amir Hussain
    Pages 1-14

  3. A Unified Framework

    • Muaz A Niazi, Amir Hussain
    Pages 15-20

  4. Complex Adaptive Systems

    • Muaz A Niazi, Amir Hussain
    Pages 21-32

  5. Modeling CAS

    • Muaz A Niazi, Amir Hussain
    Pages 33-53

  6. Back Matter

    Pages 55-55
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Keywords

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​

Authors and Affiliations

  • , Computer & Software Engineering, Bahria University, Islamabad, Pakistan

    Muaz A Niazi

  • Dept. Computing Science, University of Stirling, Stirling, United Kingdom

    Amir Hussain

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