Cognitive Agent-based Computing-I [electronic resource] : A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods / by Muaz A Niazi, Amir Hussain.
By: Niazi, Muaz A [author.].
Contributor(s): Hussain, Amir [author.] | SpringerLink (Online service).
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BookSeries: SpringerBriefs in Cognitive Computation: 1Publisher: Dordrecht : Springer Netherlands : Imprint: Springer, 2013Description: XIV, 55 p. 9 illus., 7 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789400738522.Subject(s): Medicine | Neurosciences | Computer science | Mathematics | Consciousness | Biomedicine | Neurosciences | Computer Science, general | Mathematics, general | Cognitive Psychology | Biophysics and Biological PhysicsDDC classification: 612.8 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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.
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