Open AccessBook
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Michael North,Charles M. Macal +1 more
TLDR
Managing Business Complexity addresses who needs ABMS and why, where and when ABMS can be applied to the everyday business problems that surround us, and how specifically to build these powerful agent-based models.Abstract:
Agent-based modeling and simulation (ABMS), a way to simulate a large number of choices by individual actors, is one of the most exciting practical developments in business modeling since the invention of relational databases. It represents a new way to understand data and generate information that has never been available before-a way for businesses to view the future and to understand and anticipate the likely effects of their decisions on their markets and industries. It thus promises to have far-reaching effects on the way that businesses in many areas use computers to support practical decision-making. Managing Business Complexity is the first complete business-oriented agent-based modeling and simulation resource. It has three purposes: first, to teach readers how to think about ABMS, that is, about agents and their interactions; second, to teach readers how to explain the features and advantages of ABMS to other people and third, to teach readers how to actually implement ABMS by building agent-based simulations. It is intended to be a complete ABMS resource, accessible to readers who haven't had any previous experience in building agent-based simulations, or any other kinds of models, for that matter. It is also a collection of ABMS business applications resources, all assembled in one place for the first time. In short, Managing Business Complexity addresses who needs ABMS and why, where and when ABMS can be applied to the everyday business problems that surround us, and how specifically to build these powerful agent-based models.read more
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Journal ArticleDOI
Tutorial on agent-based modelling and simulation
TL;DR: A brief introduction to ABMS is provided, the main concepts and foundations are illustrated, some recent applications across a variety of disciplines are discussed, and methods and toolkits for developing agent models are identified.
Journal ArticleDOI
Structural investigation of supply networks: A social network analysis approach
TL;DR: In this article, a theoretical framework relates key social network analysis metrics to supply network constructs and applies this framework to the three automotive supply networks reported in Choi and Hong (2002), each of the supply networks is analyzed in terms of both materials flow and contractual relationships.
Journal ArticleDOI
Complex adaptive systems modeling with repast simphony
Michael North,Michael North,Nicholson Collier,Jonathan Ozik,Jonathan Ozik,Eric Tatara,Charles M. Macal,Charles M. Macal,Mark J. Bragen,Pam Sydelko +9 more
TL;DR: Development of the features and functions of Repast Simphony, the widely used, free, and open source agent-based modeling environment that builds on the Repast 3 library, are described.
Journal ArticleDOI
Agent Based Modelling and Simulation tools: A review of the state-of-art software
TL;DR: A significant synthesis of Agent Based Modelling and Simulation (ABMS) resources has been performed in this review that stimulates further investigation into this topic.
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