Tutorial on Agent-based Modelling and Simulation


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Charles M. Macal, Michael J. North

Journal of Simulation 4(3), pages 151-162
September 2010

Agent-based modelling and simulation (ABMS) is a relatively new approach to modelling systems composed of autonomous, interacting agents. Agent-based modelling is a way to model the dynamics of complex systems and complex adaptive systems. Such systems often self-organize themselves and create emergent order. Agent-based models also include models of behaviour (human or otherwise) and are used to observe the collective effects of agent behaviours and interactions. The development of agent modelling tools, the availability of micro-data, and advances in computation have made possible a growing number of agent-based applications across a variety of domains and disciplines. This article provides a brief introduction to ABMS, illustrates the main concepts and foundations, discusses some recent applications across a variety of disciplines, and identifies methods and toolkits for developing agent models.

Journals & Series

Publication

— authors

Charles M. Macal, Michael J. North

— status

published

— sort

article in journal

— publication date

September 2010

— journal

Journal of Simulation

— volume

4

— issue

3

— pages

151-162

URLs

original page

identifiers

— DOI

10.1057/jos.2010.3

— print ISSN

1747-7778

— online ISSN

1747-7786

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