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- Author: Muaz A Niazi
- Publisher: Springer
- Year: 2012
- Pages: 55
- ISBN-10: 940073851X
- ISBN-13: 9789400738515
- Format: 15.5 x 23.1 x 0.6 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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 manuscript 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, epidemiological HIV
EXTRA 10 % discount with code: EXTRA
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- Author: Muaz A Niazi
- Publisher: Springer
- Year: 2012
- Pages: 55
- ISBN-10: 940073851X
- ISBN-13: 9789400738515
- Format: 15.5 x 23.1 x 0.6 cm, softcover
- Language: English English
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 manuscript 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, epidemiological HIV
Reviews