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Biomedical Sciences - Neuroscience | Cognitive Agent-based Computing-I - A Unified Framework for Modeling Complex Adaptive Systems

Cognitive Agent-based Computing-I

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

Niazi, Muaz A, Hussain, Amir

2013, XIV, 55 p. 9 illus., 7 illus. in color.

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  • 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

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.

Content Level » Research

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

Related subjects » Biophysics & Biological Physics - Cognitive Psychology - Computer Science - Mathematics - Neuroscience

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