By Uri Wilensky
The creation of common speedy computing has enabled us to paintings on extra advanced difficulties and to construct and learn extra complicated versions. This publication offers an advent to 1 of the first methodologies for study during this new box of wisdom. Agent-based modeling (ABM) bargains a brand new approach of doing technology: by means of accomplishing computer-based experiments. ABM is acceptable to complicated platforms embedded in normal, social, and engineered contexts, throughout domain names that variety from engineering to ecology. An advent to Agent-Based Modeling bargains a accomplished description of the middle techniques, tools, and purposes of ABM. Its hands-on procedure -- with thousands of examples and routines utilizing NetLogo -- allows readers to start developing versions instantly, despite adventure or discipline.
The ebook first describes the character and purpose of agent-based modeling, then provides the technique for designing and development ABMs, and eventually discusses the way to make the most of ABMs to reply to advanced questions. beneficial properties in every one bankruptcy comprise step by step publications to constructing types basically textual content; textual content packing containers with additional info and ideas; end-of-chapter explorations; and references and lists of correct interpreting. there's additionally an accompanying site with all of the versions and code.
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Additional info for An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo
These rules are easily implemented in a computer language. There are many computer languages in use for many purposes, but only a few are especially tailored to work with agent-based modeling. One of these is NetLogo (Wilensky, 1999a). NetLogo is both a modeling language and an integrated environment designed to make agent-based models easy to build. In fact, NetLogo is so easy to use that, rather than describe algorithms and models in pseudo-code,7 throughout this textbook we will use NetLogo instead.
How and why do these flocks emerge? Another more common (though less beautiful) pattern—this time, from the social rather than the natural world—is the traffic jam. In most industrial societies with individually driven vehicles, we see traffic jams. 1 What causes these jams to form? 1. See (Wilensky, 1997a) for a NetLogo model of a traffic jam. 3 Flock of geese flying in a classic V formation. In the 1980s and early ’90s, Wilensky and Resnick interviewed people from a wide range of backgrounds, asking them to explain how such patterns arise.
2 Exploring the Ant Foraging Model To explore this model in more depth, open the Ants model (Wilensky, 1997) (found in the Biology section of the NetLogo models library). Once you open this model, you will see a set of controls that you can manipulate to change the parameters of the model. , POPULATION, DIFFUSION-RATE, EVAPORATIONRATE), and explore the accompanying material that discusses this model and the realworld experiments it is based upon. As you manipulate the model, consider the following questions: 1.
An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo by Uri Wilensky