Agent-Based and Individual-Based Modeling: A Practical Introduction - Tapa blanda

"Biologists ... have been relatively slow to take advantage of enhanced computing power and unlock the potential of these techniques. This book removes any excuse. Based on a course run by the authors, who both come from an ecological background, and building on an earlier, more conceptual book, this aims to provide the necessary tools to students and researchers."--Frontiers of Biogeography "This volume would be an excellent text for an introductory course in modeling as science, or for self-study by a mature researcher interested in learning about this important new way of doing science."--H. Van Dyke Parunak, JASSS "This book represents something I have been waiting for some years now: a good and solid introduction to the field of individual- and agent-based models (hereafter IBM/ABM's). This book fulfills my needs, using a mix of theory and practical examples which seems to suit the topic well... [T]he book is not only a practical guide but also serves as a good introduction to the basics of 'healthy' programming. These authors are the right ones to do this as they have a strong background in the philosophical aspects as well as the practical issues of modeling."--Basic and Applied Ecology "Railsback and Grimm have done the heavy lifting required to establish a solid IBM course by providing a carefully crafted inquiry-based curriculum. This accomplishment removes a major impediment to the proliferation of IBM courses. Although the book seems aimed at a graduate-level course, I also do not see why an ambitious teacher with motivated students could not use this textbook as the basis of an upper-level undergraduate course in individual based modeling. Agent-based and individual-based modeling has the potential to foster an appreciation of the value and place of individual-based models in our field in the next generation of emerging ecologists (who already have computational leanings)."--Christopher X. Jon Jensen, Ecology

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* Provides an introduction to NetLogo with nine chapters introducing an important modeling concept and showing how to implement it using NetLogo * Filled with examples and exercises, with updates and supplementary materials at http://www.railsback-grimm-abm-book.com/ * Designed for students and researchers across the biological and social sciences * Written by leading practitioners Leading universities that have adopted this book include: * Amherst College * Brigham Young University * Carnegie Mellon University* Cornell University * Miami University * Northwestern University * Old Dominion University * Portland State University * Rhodes College * Susquehanna University * University College, Dublin * University of Arizona* University of British Columbia* University of Michigan * University of South Florida* University of Texas at Austin * University of Virginia