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Agent-Based Modeling and Simulation

Agent-based modeling and simulation (ABMS) is a relatively young technique, which started its major expansion in the social sciences only in the early 1990s. Essentially, it describes a complex system in a bottom-up manner from the perspective of its constituent units. Thus, ABMS approaches are a natural match for complex (and dynamic) OR problems and, accordingly, have raised substantial interest from the scientific community. The collection at hand is composed of papers that feature such ABMS approaches.

Further submissions on this topic are highly welcome at CJOR.

Participating journal

Submit your manuscript to this collection through the participating journal.

Editors

  • Christian Stummer, Bielefeld University, Germany

    Christian Stummer, Bielefeld University, Germany

    Christian Stummer (Christian.stummer@uni-bielefeld) holds the Chair of Innovation and Technology Management at the Faculty of Business and Economics at Bielefeld University.His research interests comprise economic implications of smart products and services, market diffusion of innovations and technologies, and further challenges of managing research and development.Christian Stummer has published more than 120 scientific papers, he was the Chair of the Working Group on “Simulation and Optimization of Complex Systems” of the German Operations Research Society (GOR), and he is a co-editor of the Central European Journal of Operations Research.

Articles

Showing 1-12 of 12 articles

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