Agent-Based and Individual-Based Modeling: A Practical by Steven F. Railsback, Volker Grimm

By Steven F. Railsback, Volker Grimm

Agent-based modeling is a brand new procedure 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 platforms. This cutting edge textbook offers scholars and scientists the talents to layout, enforce, and research agent-based types. It starts off 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 an incredible modeling thought and express how one can enforce it utilizing NetLogo. The booklet is going directly to current options for locating the best point of version complexity and constructing conception for agent habit, and for studying and studying from models.

Agent-Based and Individual-Based Modeling beneficial properties concise and available textual content, a number of examples, and routines utilizing small yet medical versions. The emphasis all through is on analysis--such as software program trying out, thought improvement, robustness research, and realizing complete models--and on layout matters like optimizing version constitution and discovering sturdy parameter values.

the 1st hands-on creation to agent-based modeling, from conceptual layout to computing device implementation to parameterization and analysis
presents an creation to NetLogo with 9 chapters introducing a big modeling inspiration and displaying the right way to enforce it utilizing NetLogo
full of 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 prime practitioners

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Process Overview and Scheduling Whereas the previous element of ODD is about the structure of a model, here we deal with dynamics: the processes that change the state variables of model entities. Now, it turns out to be very useful that we first specified the model’s entities, because every process—with one very important exception—describes the behavior or dynamics of the model’s entities. Thus, to provide an overview of a model’s processes we simply have to ask ourselves: what are the model entities doing?

Sometimes it looks like fewer, larger clusters are created, because clusters overlap. ” Understanding NetLogo’s world wrapping is extremely important! ” Save your work often! NetLogo will not recover your unsaved work if something bad happens. ) Now let’s make the number of clusters of red patches a model parameter. In our models and programs, we usually try not to write numbers that control important things directly into the deep code—which is called “hardwiring” them. Instead, we make them parameters that are easy to find and change.

5 Exercises 1. From the NetLogo User Manual, read the three tutorials carefully. You do not need to actually build the model used in Tutorial 3 because we will do something similar in chapter 4. But look for the following concepts and make sure you understand them: Finding and running models from the Models Library Setup and go buttons, “once” and “forever” buttons How the speed controller works—how can it make your computer appear to run faster? Sliders and switches to control model parameters Finding information about a model on its Information tab Changing the World size—the number of patches Patch coordinates Using the Command Center Colors; setting patch and turtle colors Agent Monitors and commanders Procedures: a section of code that programs one thing Setup procedures to initialize a model Go procedures to run a model The commands clear-­all, ask, set, setxy “Calling” a procedure from another procedure; the setup and go procedures call several other procedures that each contain one behavior Defining variables for turtles and patches Agentsets The tick counter and its primitives reset-­ticks and tick 2.

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