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Interacting complexities of herds an...

Raczynski, Stanislaw.

Interacting complexities of herds and social organizationsagent based modeling /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Interacting complexities of herds and social organizationsby Stanislaw Raczynski.
其他題名:	agent based modeling /
作者:	Raczynski, Stanislaw.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xi, 150 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Multiagent systems.
電子資源:	https://doi.org/10.1007/978-981-13-9337-2
ISBN:	9789811393372$q(electronic bk.)

Interacting complexities of herds and social organizationsagent based modeling /
Raczynski, Stanislaw.

Interacting complexities of herds and social organizationsagent based modeling /[electronic resource] :by Stanislaw Raczynski. - Singapore :Springer Singapore :2020. - xi, 150 p. :ill., digital ;24 cm. - Evolutionary economics and social complexity science,v.192198-4204 ;. - Evolutionary economics and social complexity science ;v.1..

Chapter 1. Agent based models, tools -- Chapter 2. Simulating self-organization and interference between certain hierarchical structures -- Chapter 3. Interactions between terror and anti-terror organizations -- Chapter 4. Organization growth and decay: simulating interactions of hierarchical structures, corruption and gregarious effect -- Chapter 5. The spontaneous rise of the herd instinct: agent based simulation -- Chapter 6. Influence of the gregarious instinct and individuals' behavior patterns on macro migrations: Simulation experiments -- Chapter 7. Simulating our self-destruction -- Chapter 8. Prey-predator models revisited: uncertainty, herd instinct, fear, limited food, epidemics, evolution and competition -- Chapter 9. Discret event simulation vs continuous system dynamics.

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 of interacting individuals and also includes important information on the macro-behavior of the whole system.

ISBN: 9789811393372$q(electronic bk.)

Standard No.: 10.1007/978-981-13-9337-2doiSubjects--Topical Terms:

484868
Multiagent systems.

LC Class. No.: QA76.76.I58 / R33 2020

Dewey Class. No.: 006.30285436

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505 0 $a Chapter 1. Agent based models, tools -- Chapter 2. Simulating self-organization and interference between certain hierarchical structures -- Chapter 3. Interactions between terror and anti-terror organizations -- Chapter 4. Organization growth and decay: simulating interactions of hierarchical structures, corruption and gregarious effect -- Chapter 5. The spontaneous rise of the herd instinct: agent based simulation -- Chapter 6. Influence of the gregarious instinct and individuals' behavior patterns on macro migrations: Simulation experiments -- Chapter 7. Simulating our self-destruction -- Chapter 8. Prey-predator models revisited: uncertainty, herd instinct, fear, limited food, epidemics, evolution and competition -- Chapter 9. Discret event simulation vs continuous system dynamics.
520 $a 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 of interacting individuals and also includes important information on the macro-behavior of the whole system.
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