Agent-Based and Individual-Based Modeling: A Practical Introduction

By Steven F. Railsback

Agent-based modeling is a brand new strategy for knowing how the dynamics of organic, social, and different complicated platforms come up from the features and behaviors of the brokers making up those structures. This leading edge textbook provides scholars and scientists the abilities to layout, enforce, and study agent-based types. It begins with the basics of modeling and gives an creation to NetLogo, an easy-to-use, loose, and robust software program platform. 9 chapters then each one introduce a huge modeling proposal and express the best way to enforce it utilizing NetLogo. The publication is going directly to current techniques for locating the precise point of version complexity and constructing conception for agent habit, and for studying and studying from types.

Agent-Based and Individual-Based Modeling gains concise and available textual content, quite a few examples, and workouts utilizing small yet clinical versions. The emphasis all through is on analysis--such as software program checking out, thought improvement, robustness research, and figuring out complete models--and on layout matters like optimizing version constitution and discovering solid parameter values.

  • The first hands-on creation to agent-based modeling, from conceptual layout to machine implementation to parameterization and analysis
  • Provides an advent to NetLogo with 9 chapters introducing a major modeling inspiration and displaying easy methods to enforce it utilizing NetLogo
  • Filled with 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 best practitioners

Leading universities that experience followed this e-book include:

  • Amherst College
  • Brigham younger University
  • Carnegie Mellon University
  • Cornell University
  • Miami University
  • Northwestern University
  • Old Dominion University
  • Portland nation University
  • Rhodes College
  • Susquehanna University
  • University university, Dublin
  • University of Arizona
  • University of British Columbia
  • University of Michigan
  • University of South Florida
  • University of Texas at Austin
  • University of Virginia

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So in case you believe a bit misplaced and crushed at this element, please wait and see and persevere. turning into educated in NetLogo continues to be an enormous objective as we movement forward. besides the fact that, half II has a moment significant target: studying approximately agent-­based modeling as a selected, exact technique to do technology. We deal with this moment aim via targeting a conceptual framework for designing, describing, and brooding about agent-­based modeling. what's a “conceptual framework” for ABMs and why can we desire it? each one common method of modeling has a suite of easy rules, concept, notation, and conventions that supply how to take into consideration and layout versions. in lots of clinical fields, differential equations have commonly been an important conceptual framework for modeling. In statistical modeling, there are numerous conceptual frameworks (e. g. , parametric, Bayesian), every one with its personal idea and techniques. The conceptual framework we use for ABMs is just a listing of innovations that seize crucial features of an ABM, specifically the ways in which it's various from other forms of types. those ideas, as utilized to ecology, are mentioned widely in bankruptcy five of Grimm and Railsback (2005) and summarized there in a “conceptual layout list. ” We brought the thoughts in part three. three as a part of the unusual version description protocol, and desk three. 1 offers a list of key questions for every notion. every time you construct an ABM, you want to take into consideration how each one of those techniques is addressed, whether it is, within the version. Why? the 1st cause is to ensure that you consider all of the vital version layout matters and choose explicitly how one can deal with every one; differently, very important elements of the model’s layout should be decided by chance or basically through programming comfort. the second one cause is to assist you describe your version to others. whilst modelers use the bizarre protocol and those layout thoughts to explain ABMs, it really is a lot more uncomplicated for others to appreciate the model’s most vital features. now not all the ideas can be very important to every ABM, yet puzzling over all the innovations is helping you persuade ninety seven yourself and others that each one the $64000 version layout judgements have been made explicitly and thoroughly. (For this cause, the layout options also are very worthy if you overview a person else’s ABM. ) such a lot chapters of half II addresses this kind of layout strategies, with the ambitions of training the idea that and the programming abilities linked to it. There are, even though, a few ameliorations among the layout thoughts precis of desk three. 1 and the association of half II. right here, we bypass the elemental rules proposal since it has a tendency to be extra particular to clinical domain names and no more without delay tied to software program. bankruptcy eleven addresses heavily comparable suggestions, Adaptive habit and targets, and we've selected to not deal with the really advanced and less-­often-­used studying suggestion. We additionally comprise bankruptcy 14 on Scheduling, a vital modeling and programming subject that isn't one of many abnormal layout thoughts (it used to be, in previous types of strange, yet is now within the “Process assessment and Scheduling” element).

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