Library of American University of Madaba
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Niazi, Muaz A.
Cognitive Agent-based Computing-I A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods / [electronic resource] : by Muaz A Niazi, Amir Hussain. - XIV, 55 p. 9 illus., 7 illus. in color. online resource. - SpringerBriefs in Cognitive Computation, 1 2212-6023 ; .
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.
9789400738522
Medicine.
Neurosciences.
Computer science.
Mathematics.
Consciousness.
Biomedicine.
Neurosciences.
Computer Science, general.
Mathematics, general.
Cognitive Psychology.
Biophysics and Biological Physics.
RC321-580
612.8
Cognitive Agent-based Computing-I A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods / [electronic resource] : by Muaz A Niazi, Amir Hussain. - XIV, 55 p. 9 illus., 7 illus. in color. online resource. - SpringerBriefs in Cognitive Computation, 1 2212-6023 ; .
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.
9789400738522
Medicine.
Neurosciences.
Computer science.
Mathematics.
Consciousness.
Biomedicine.
Neurosciences.
Computer Science, general.
Mathematics, general.
Cognitive Psychology.
Biophysics and Biological Physics.
RC321-580
612.8