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Raczynski S. Interacting Complexities of Herds and Social Organizations: Agent Based Modeling

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Raczynski S. Interacting Complexities of Herds and Social Organizations: Agent Based Modeling
Springer, 2020. — 156 p. — (Evolutionary Economics and Social Complexity Science 19). — ISBN: 9811393362.
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.
Agent-Based Models: Tools
Simulating Self-Organization and Interference Between Certain Hierarchical Structures
Interactions Between Terror and Anti-terror Organizations
Organization Growth and Decay: Simulating Interactions of Hierarchical Structures, Corruption and Gregarious Effect
The Spontaneous Rise of the Herd Instinct: Agent-Based Simulation
Influence of the Gregarious Instinct and Individuals’ Behavior Patterns on Macro Migrations: Simulation Experiments
Simulating Our Self-Destruction
Prey-Predator Models Revisited: Uncertainty, Herd Instinct, Fear, Limited Food, Epidemics, Evolution, and Competition
Discrete Event Simulation vs Continuous System Dynamics
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