By Steven F. Railsback, Volker Grimm
Agent-based modeling is a brand new process for figuring out how the dynamics of organic, social, and different complicated structures come up from the features and behaviors of the brokers making up those structures. This cutting edge textbook supplies scholars and scientists the abilities to layout, enforce, and learn agent-based types. It begins with the basics of modeling and gives an advent to NetLogo, an easy-to-use, unfastened, and robust software program platform. 9 chapters then every one introduce a tremendous modeling proposal and convey tips on how to enforce it utilizing NetLogo. The ebook is going directly to current ideas for locating the proper point of version complexity and constructing thought for agent habit, and for reading and studying from models.
Agent-Based and Individual-Based Modeling positive aspects concise and available textual content, a variety of examples, and workouts utilizing small yet medical versions. The emphasis all through is on analysis--such as software program checking out, conception improvement, robustness research, and figuring out complete models--and on layout matters like optimizing version constitution and discovering reliable parameter values.
the 1st hands-on advent to agent-based modeling, from conceptual layout to computing device implementation to parameterization and analysis
presents an advent to NetLogo with 9 chapters introducing a huge modeling idea and displaying the best way to enforce it utilizing NetLogo
full of examples and routines, with updates and supplementary fabrics at http://www.railsback-grimm-abm-book.com/
Designed for college students and researchers around the organic and social sciences
Written by way of prime practitioners
Read or Download Agent-Based and Individual-Based Modeling: A Practical Introduction PDF
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Additional resources for Agent-Based and Individual-Based Modeling: A Practical Introduction
4 NetLogo Checklist and Mini-reference Here we provide a checklist of the elements of NetLogo that we think are essential for you to eventually understand. The elements that you have already learned about are underlined. You don’t need to remember all these characteristics of NetLogo in detail, but be aware of them and be able to look them up as you need. Main menu bar File/Save—Remember to save your changes frequently as you build a model! File/Models Library Code Examples: Look here for examples of how to do things.
However, as with any model assumption, assuming that these individual-level characteristics are important is experimental. It might turn out that for many questions we do not explicitly need all, or even any, of these characteristics. And, in fact, full-fledged ABMs are quite rare. In ecology, for example, many useful ABMs include only one individual-level characteristic, local interactions. Thus, although ABMs are defined by the assumption that agents are represented in some way, we still have to make many choices about what type of agents to represent and in what detail.
The other is a romantic comedy starring a beautiful actress and a goofy but lovable actor. Which movie will make the most money next weekend? Over the next four weeks? Over the next five years? 1 Introduction and Objectives Now it is time to start playing with and learning about NetLogo, the software package we use in this course to implement ABMs. One of the great things about NetLogo is that you can install it and start exploring its built-in models in a few minutes, and then use its tutorials to learn the basics of programming models.