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 process for figuring out how the dynamics of organic, social, and different advanced platforms come up from the features and behaviors of the brokers making up those platforms. This leading edge textbook offers scholars and scientists the talents to layout, enforce, and research agent-based versions. It begins with the basics of modeling and offers 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 to enforce it utilizing NetLogo. The e-book is going directly to current techniques for locating the ideal point of version complexity and constructing thought for agent habit, and for examining and studying from models.

Agent-Based and Individual-Based Modeling beneficial properties concise and obtainable textual content, various examples, and workouts utilizing small yet medical types. The emphasis all through is on analysis--such as software program trying out, thought improvement, robustness research, and knowing complete models--and on layout concerns like optimizing version constitution and discovering sturdy parameter values.

the 1st hands-on advent to agent-based modeling, from conceptual layout to machine implementation to parameterization and analysis
presents an creation to NetLogo with 9 chapters introducing a huge modeling inspiration and exhibiting the best way to enforce it utilizing NetLogo
packed with examples and routines, with updates and supplementary fabrics at
Designed for college kids and researchers around the organic and social sciences
Written by means of major practitioners

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Extra resources for Agent-Based and Individual-Based Modeling: A Practical Introduction

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As soon as you have some ability to program and analyze your own models and some understanding of how to use these modeling concepts, you will rapidly become a real modeler. 6 Exercises 1. One famous example of how different models must be used to solve different problems in the same system is grocery store checkout queues. If you are a customer deciding which queue to enter, how would you model the problem? What exact question would your model address? What entities and processes would be in the model?

Replication, however, is key to science: models that cannot be reproduced are unscientific. Moreover, ABM descriptions are often a wordy mixture of factual description and lengthy justifications, explanations, and discussions of all kinds. Often, to quickly assess what the model itself really is, we have to read pages and pages even when the model itself turns out to be quite simple. How can we describe ABMs in a way that is easy to understand yet complete? One well-­known way to deal with such problems is standardization: it is much easier to understand written material if we know in advance what kinds of information will be presented and what order it will appear in.

The turtle variable we created, time-­since-­last-­found, is also listed. ) You can restart the model by clicking go and observe how the variables change. 26 Chapter 2 Not only can you see an agent’s variables with an Agent Monitor; you can also change their value whenever you want, just by entering a new value in the monitor. Stop the program and change the turtle’s size to 5, and its time-­since-­last-­found to -­99. ) There are more things you can do with Agent Monitors, including giving commands directly to the selected agent by typing in the same kinds of NetLogo statements you would use in your code.

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