Cognitive Agent-based Computing-I
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 ; . - SpringerBriefs in Cognitive Computation, 1 .
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
10.1007/978-94-007-3852-2 doi
Medicine.
Neurosciences.
Computer science.
Mathematics.
Biophysics.
Biological physics.
Cognitive psychology.
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 ; . - SpringerBriefs in Cognitive Computation, 1 .
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
10.1007/978-94-007-3852-2 doi
Medicine.
Neurosciences.
Computer science.
Mathematics.
Biophysics.
Biological physics.
Cognitive psychology.
Biomedicine.
Neurosciences.
Computer Science, general.
Mathematics, general.
Cognitive Psychology.
Biophysics and Biological Physics.
RC321-580
612.8