Agent-based and individual-based modeling : a practical introduction
By: Railsback, Steven F.
Contributor(s): Grimm, Volker.
Material type:
BookPublisher: Princeton : Princeton University Press, 2019Edition: 2nd ed.Description: xviii, 340 p. ; ill., 26 cm.ISBN: 9780691190839.Subject(s): BehaviorSpace | Butterfly Hiltopping model | Cooperative model | Defensive programming | Flocking model | Heuristics models | Local randomness | NetLogo | Mushroom Hunt model | Rabies control model | Simple birth rates model | Telemarketer model | Wild Dog modelDDC classification: 006.3 Summary: Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduction to NetLogo, an easy-to-use, free, and powerful software platform. Nine chapters then each introduce an important modeling concept and show how to implement it using NetLogo. The book goes on to present strategies for finding the right level of model complexity and developing theory for agent behavior, and for analyzing and learning from models. Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | 006.3 RAI (Browse shelf) | Available | 034608 |
Includes bibliographical references and index.
Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduction to NetLogo, an easy-to-use, free, and powerful software platform. Nine chapters then each introduce an important modeling concept and show how to implement it using NetLogo. The book goes on to present strategies for finding the right level of model complexity and developing theory for agent behavior, and for analyzing and learning from models. Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models.
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