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Agent-Based and Individual-Based Modeling: A Practical Introduction
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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 analysisProvides an introduction to NetLogo with nine chapters introducing an important modeling concept and showing how to implement it using NetLogoFilled 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 sciencesWritten by leading practitionersLeading universities that have adopted this book include:Amherst CollegeBrigham Young UniversityCarnegie Mellon UniversityCornell UniversityMiami UniversityNorthwestern UniversityOld Dominion UniversityPortland State UniversityRhodes CollegeSusquehanna UniversityUniversity College, DublinUniversity of ArizonaUniversity of British ColumbiaUniversity of MichiganUniversity of South FloridaUniversity of Texas at AustinUniversity of Virginia
Product details
Paperback: 352 pages
Publisher: Princeton University Press; 59468th edition (November 6, 2011)
Language: English
ISBN-10: 0691136742
ISBN-13: 978-0691136745
Product Dimensions:
8 x 0.9 x 9.9 inches
Shipping Weight: 1.7 pounds (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
16 customer reviews
Amazon Best Sellers Rank:
#153,986 in Books (See Top 100 in Books)
I had to purchase this book for a course, not my choice. It first starts very well, with a good basic explanation of NetLogo, and fun exercises; then, it just jumps from baby easy to "screw you, you're done, throw this book away". Already in chapter 2, there is a line of code missing in the baby-steps, but fortunately the entire code for the exercise is provided. In chapter 5, you're on your own. That's it, good luck! Well, it would not be a problem if at least, you were on your own but the entire code was provided somewhere, anywhere, for you to check your work. Is that done? Nope, of course not! So, basically you'll never know if you were right, unless you read some blog somewhere about the precise exercise, and then again, who knows if that's even right?
This is a very well written introduction to agent-based modeling. The authors are luminaries in the field and this book provides a very useful, clear, and effective introduction to practical modeling. The choice of Netlogo as the programming language is very wise, as it lets the reader quickly get to work writing models without getting bogged down in programming details. This book is suitable for a text in a formal course, or as a self-study guide. The emphasis on ODD (Overview, Design, Details) approach to designing and documenting models is very helpful and there are good examples throughout of using the ODD description to replicate models used in published research.I recommend this book both as a textbook for teaching agent-based modeling and as a reference book for anyone working in the field.
Very good introduction to both agent based modeling and the NetLogo software. A good text for a modeling course. Good accompanying on-line resources. My only complaint is that the book is a little uneven, chapter to chapter, in the level of detail and instruction. Those using this book to teach themselves may get frustrated, as the authors 'take the training wheels off' very quickly. Some basic things seem under-explained, while others are over-explained. I do like that the book isn't a step by step 'push this button' cookbook (like most computer books), but arguably there's a bit too much philosophy of modeling material at times. People with no or little programming experience may get unnecessarily bogged down stymied by simple problems that a teacher or classmate could quickly answer. The strength of the examples and exercises is that they very quickly get the reader to think critically about modeling and its assumptions; the weakness of the more philosophical approach is it will turn off people who are more interested in quickly learning the software. This is NOT a NetLogo instruction manual. While those with some programming experience and/or a fair bit of patience and tenacity can use this book to teach themselves how to program ABMs, the best use of this book is probably as a textbook in a modeling course.
I really appreciated that the book focuses on the high level concepts and planning, rather than details such as syntax which you can get from other resources. There are many notes to people with programming experience to relate their knowledge to NetLogo and help prevent frustration. I wish other books about software realized how important understanding the goals and concepts are as opposed to details which you can slot into place once you have a better understanding of the big picture.
Excellent resource for self study. My schedule doesn't lend itself to a regular class schedule (assuming I could even find a class on this) so having a book like this has been extremely helpful in learning ABM and Netlogo on my own. The authors really did a nice job of guiding the reader progressively thru the concepts and methods.
This books easy to follow and a good intro to ABM.
This book has become the go-to source to students and researchers looking to learn agent-based modeling. I meet students from anthropology, economics, and the biological sciences who state that the clear, structured approach in this book is far and away the best way for individuals to pursue self-study. As well, it works well in the classroom.
Great book, clear explanations and designed to put new skills in practice, inmediatelly.
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