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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Cognitive Agent-Based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems Using Agent-Based & Complex Network-Based Methods

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

Paperback

Series: Springerbriefs in Cognitive Computation

BiologyGeneral MathematicsGeneral Psychology

ISBN10: 940073851X
ISBN13: 9789400738515
Publisher: Springer Nature
Published: Oct 30 2012
Pages: 55
Weight: 0.29
Height: 0.23 Width: 6.11 Depth: 9.11
Language: 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​

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