Interacting Complexities of Herds and Social Organizations
Agent Based Modeling
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Beschreibung
This book presents examples of and the latest simulation studies on artificial societies and populations, highlighting innovative implementations of various models of artificial societies and populations using a new, C++-related simulation tool. It demonstrates that the prey-predator models—including spatial distribution, moving patterns, limited renewable food, fear, gregarious (herd) instinct, clustering, epidemics, and competition— are more complex than other publications have suggested, and highlights the great discrepancy between agent-based and conventional continuous models. The book also discusses the modeling and simulation of self-organization and interactions between organizations, including terror organizations, offering fascinating insights into organizational dynamics.
The book provides a broad range of examples and comparisons with the classical dynamics approach, showing readers how to construct models of complex systems. It starts with descriptions of the behavior ofinteracting individuals and also includes important information on the macro-behavior of the whole system.
This book presents examples of and the latest simulation studies on artificial societies and populations, highlighting innovative implementations of various models of artificial societies and populations using a new, C++-related simulation tool. It demonstrates that the prey-predator models—including spatial distribution, moving patterns, limited renewable food, fear, gregarious (herd) instinct, clustering, epidemics, and competition—are more complex than other publications have suggested, and highlights the great discrepancy between agent-based and conventional continuous models. The book also discusses the modeling and simulation of self-organization and interactions between organizations, including terror organizations, offering fascinating insights into organizational dynamics.
The book provides a broad range of examples and comparisons with the classical dynamics approach, showing readers how to construct models of complex systems. It starts with descriptions ofthe behavior of interacting individuals and also includes important information on the macro-behavior of the whole system.
Facilitates readers’ understanding of artificial societies and populations Presents the results of experiments observing the behavior of populations and using organizational models Demonstrates how to apply agent-based modeling to complex social models
Autor*in
Stanislaw Raczynski
Themen in »Interacting Complexities of Herds and Social Organizations«
Simulation Agent-based Model Discrete Event Simulation Artificial Society Organization Model Herd Instinct computational social sciences