Agent-based modeling is a powerful simulation modeling technique that has seen a number of applications in the last few years, including applications to real-world business problems. After the basic principles of agent-based simulation are briefly introduced, its four areas of application are discussed by using real-world applications: flow simulation, organizational simulation, market simulation, and diffusion simulation. For each category, one or several business applications are described and analyzed.
%0 Journal Article
%1 Bonabeau2002Agentbased
%A Bonabeau, Eric
%D 2002
%I National Academy of Sciences
%J Proceedings of the National Academy of Sciences
%K social review AgentBasedModelling
%N suppl 3
%P 7280--7287
%R 10.1073/pnas.082080899
%T Agent-based modeling: Methods and techniques for simulating human systems
%U http://dx.doi.org/10.1073/pnas.082080899
%V 99
%X Agent-based modeling is a powerful simulation modeling technique that has seen a number of applications in the last few years, including applications to real-world business problems. After the basic principles of agent-based simulation are briefly introduced, its four areas of application are discussed by using real-world applications: flow simulation, organizational simulation, market simulation, and diffusion simulation. For each category, one or several business applications are described and analyzed.
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abstract = {Agent-based modeling is a powerful simulation modeling technique that has seen a number of applications in the last few years, including applications to real-world business problems. After the basic principles of agent-based simulation are briefly introduced, its four areas of application are discussed by using real-world applications: flow simulation, organizational simulation, market simulation, and diffusion simulation. For each category, one or several business applications are described and analyzed.},
added-at = {2018-06-18T21:23:34.000+0200},
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doi = {10.1073/pnas.082080899},
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issn = {1091-6490},
journal = {Proceedings of the National Academy of Sciences},
keywords = {social review AgentBasedModelling},
month = may,
number = {suppl 3},
pages = {7280--7287},
pmcid = {PMC128598},
pmid = {12011407},
posted-at = {2016-08-30 07:45:14},
priority = {2},
publisher = {National Academy of Sciences},
timestamp = {2018-06-22T18:36:38.000+0200},
title = {Agent-based modeling: Methods and techniques for simulating human systems},
url = {http://dx.doi.org/10.1073/pnas.082080899},
volume = 99,
year = 2002
}