Friday, May 27, 2005

Guide for Newcomers to Agent-Based Modeling in the Social Sciences 

Guide for Newcomers to
Agent-Based Modeling in the Social Sciences
: "The purpose of this on-line guide is to suggest a short list of introductory readings and supporting materials to help newcomers become acquainted with Agent-Based Modeling (ABM). Our primary intended audience is graduate students and advanced undergraduate students in the social sciences. Teachers of ABM might also find this guide of use.
Unlike established methodologies such as statistics and mathematics, ABM has not yet developed a widely shared understanding of what a newcomer should learn. For decades, concepts such as the level of significance in statistics and the derivative in mathematics have been common knowledge that newcomers could be expected to learn. We hope that our selected readings and supporting materials will promote a shared understanding of ABM in the social sciences, not only among newcomers to ABM but also among researchers who already use ABM.
As a clarifying note on terminology, although this on-line guide is directed specifically to social scientists, researchers in a wide range of disciplines are now using ABM to study complex systems. When specialized to computational economic modeling, ABM reduces to Agent-based Computational Economics (ACE). "

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