Cognitive Agent-based Computing-I

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

  • Muaz A Niazi
  • Amir Hussain

Part of the SpringerBriefs in Cognitive Computation book series (BRIEFSCC, volume 1)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Muaz A Niazi, Amir Hussain
    Pages 1-14
  3. Muaz A Niazi, Amir Hussain
    Pages 15-20
  4. Muaz A Niazi, Amir Hussain
    Pages 21-32
  5. Muaz A Niazi, Amir Hussain
    Pages 33-53
  6. Back Matter
    Pages 55-55

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 book 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 and epidemiological HIV.


Agent-based Modeling Agent-oriented Software Engineering Cognitive Computation Complex Adaptive Systems Self-Organisation

Authors and affiliations

  • Muaz A Niazi
    • 1
  • Amir Hussain
    • 2
  1. 1., Computer & Software EngineeringBahria UniversityIslamabadPakistan
  2. 2.Dept. Computing ScienceUniversity of StirlingStirlingUnited Kingdom

Bibliographic information