Agent-Based and Individual-Based Modeling (eBook)

A Practical Introduction, Second Edition

Steven F. Railsback, Volker Grimm (Autoren)

eBook Download: EPUB

2025 | 2. Auflage
725 Seiten
Princeton University Press (Verlag)
978-0-691-28512-2 (ISBN)

Infos

The essential textbook on agent-based modeling-now fully updated and expandedAgent-Based and Individual-Based Modeling has become the standard textbook on the subject for classroom use and self-instruction. Drawing on the latest version of NetLogo and fully updated with new examples, exercises, and an enhanced text for easier comprehension, this is the essential resource for anyone seeking to understand how the dynamics of biological, social, and other complex systems arise from the characteristics of the agents that make up these systems.Steven Railsback and Volker Grimm lead students stepwise through the processes of designing, programming, documenting, and doing scientific research with agent-based models, focusing on the adaptive behaviors that make these models necessary. They cover the fundamentals of modeling and model analysis, introduce key modeling concepts, and demonstrate how to implement them using NetLogo. They also address pattern-oriented modeling, an invaluable strategy for modeling real-world problems and developing theory.This accessible and authoritative book focuses on modeling as a tool for understanding real complex systems. It explains how to pose a specific question, use observations from actual systems to design models, write and test software, and more.A hands-on introduction that guides students from conceptual design to computer implementation to analysisFilled with new examples and exercises and compatible with the latest version of NetLogoIdeal for students and researchers across the natural and social sciencesWritten by two leading practitionersSupported by extensive instructional materials at www.railsback-grimm-abm-book.com

Produkt-Details

• Erscheint lt. Verlag: 3.6.2025
• Zusatzinfo: 60 b/w illus. 9 tables.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
• Themenwelt: Sozialwissenschaften
• Schlagworte: Adviser • Agent-based model • algorithm • autocorrelation • behavior model • Calculation • Calibration • Causality • Code Review • coefficient of determination • Collective • collective behavior • Computational Model • conceptual model • Decision Analysis • Decision-Making • Decision Theory • Disperser • Dynamic Programming • Emergence • estimation • Explanation • fractal dimension • Heuristic • influence diagram • Initial Condition • Initialization (programming) • Logistic Regression • Lookup Table • Loss Function • Model Selection • multi-agent system • netlogo • network model • Observation • Parameter • Parameter (computer programming) • Parameter Space • Poisson distribution • Poisson Point Process • Prediction • Probability • programming model • Programming style • Ranking (information retrieval) • Replication (statistics) • reproducibility • result • Satisficing • Scientific Modelling • Search Algorithm • Sensitivity Analysis • Sensor • Simulation • Simulation Modeling • Software Testing • Software versioning • state variable • statistical model • statistical significance • stochastic • Stochastic Modeling • Stochastic process • Test Theory • uncertainty analysis • Utility • Variable (computer science) • Variable (mathematics) • Verification and Validation • Version Control
• ISBN-10: 0-691-28512-8 / 0691285128
• ISBN-13: 978-0-691-28512-2 / 9780691285122