Agent-based and individual-based modeling : a practical introduction / Steven F. Railsback and Volker Grimm
Tipo de material:
TextoEditor: Princeton, NJ : Distribuidor: Princeton University Press, Fecha de copyright: ©2012Descripción: xviii, 329 páginas : ilustraciones ; 26 cmTipo de contenido: - texto
- sin medio
- volumen
- 0691136742
- 9780691136745
- QA 76 .76 .I58 R35
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Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | COLECCIÓN RESERVA | QA 76 .76 .I58 R35 (Navegar estantería(Abre debajo)) | 1 | No para préstamo | Ing. Telematica | 032199 |
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Incluye referencias bibliográficas: páginas 317-321 e índice
Agent based modeling and Netlogo basic -- Models, agent based models, and the modeling cycle -- Getting started with Netlogo -- Describing and formulating ABMs : the ODD protocol -- Implementing a firs agent based model -- From animation to science -- Testing your program -- Model design concepts -- Emergence -- Observation -- Sensing -- Adaptive behavior and objectives -- Prediction -- Interaction -- Scheduling -- Stochasticity -- Collectives -- Pattern oriented modeling -- Introduction to part III -- Patterns for model structure -- Theory development -- Parameterization and calibration -- Model analysis -- Introduction to part IV -- Analyzing and understanding ABMs -- Sensitivity, uncertainty, and robustness analysis -- Where to go from here
"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. The emphasis throughout is on analysis--such as software testing, theory development, robustness analysis, and understanding full models--and on design issues like optimizing model structure and finding good parameter values. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysis Filled with examples and exercises, with updates and supplementary materials at www.railsback-grimm-abm-book.com Designed for students and researchers across the biological and social sciences Written by leading practitioners "--Sitio Web del editor
Ingeniería en Telemática
NUEVOSTELEMAT
