By Steven F. Railsback, Volker Grimm
Agent-based modeling is a brand new method for figuring out how the dynamics of organic, social, and different advanced structures come up from the features and behaviors of the brokers making up those structures. This leading edge textbook offers scholars and scientists the talents to layout, enforce, and research agent-based types. It begins with the basics of modeling and offers an creation to NetLogo, an easy-to-use, loose, and strong software program platform. 9 chapters then each one introduce a huge modeling notion and exhibit how one can enforce it utilizing NetLogo. The ebook is going directly to current techniques for locating the appropriate point of version complexity and constructing thought for agent habit, and for reading and studying from models.
Agent-Based and Individual-Based Modeling gains concise and obtainable textual content, a variety of examples, and workouts utilizing small yet clinical 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 sturdy parameter values.
the 1st hands-on advent to agent-based modeling, from conceptual layout to desktop implementation to parameterization and analysis
offers an advent to NetLogo with 9 chapters introducing an incredible modeling notion and exhibiting tips to enforce it utilizing NetLogo
choked with examples and workouts, 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 through best practitioners
Read Online 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
In the past 20 patches searched), or sharply to keep searching the same area if they did find a mushroom recently. Then they should step ahead one patch. Add this code to the search procedure, looking up any parts you do not understand in the NetLogo Dictionary: ifelse time-since-last-found <= 20 [right (random 181) - 90] [right (random 21) - 10] forward 1 Can you figure out from the NetLogo Dictionary’s entry for random how the statement right (random 181) - 90 causes a turtle to turn a random angle between -90 and +90 degrees?
You should therefore plan, for this chapter, to spend as much time in the NetLogo materials as in this book. At the end of this chapter we include a checklist of NetLogo elements that are very important to understand. Many of these elements are introduced in this chapter, and most of the others will be explained in the User Manual’s tutorials. We recommend you come back to this checklist from time to time to check your knowledge and understanding of NetLogo. And please keep in mind that this book is about agent-based modeling, not just NetLogo.
Note how we use the ifelse primitive (or, sometimes, the related if and ifelse- value) to model decisions. If the boolean condition following ifelse is true, then the code in the first set of brackets is executed; if false, the code in the second set of brackets is executed. A boolean condition is a statement that is either true or false. Here, the boolean condition time-since-last-found <= 20 consists of a comparison: it is true if the value of time- since-last-found is less than or equal to 20.