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The Agent-Based Simulation (ABS) session is interested in theoretical, methodological and applied research that involves synergistic interaction between simulation and agent technologies. It covers multi-agent systems, agent-based simulation and agent-directed simulation.
Agent-based Modeling (ABM) is a recent non-standard computational approach for simulating complex systems comprised of autonomous and interacting agents. Various research fields do use more and more frequently this computational approach, which is the so-called ‘third way’ of doing science, in […]
The theme of Duke Forest Conference 2016 is Economics in the Era of Natural Computationalism and Big Data. Within the ambient of the forest of data, the conference aims to discover the answer for the following questions. First, how economics, specifically behavioral and computational […]
Displaying 10 of 80 results agent-based simulation clear search