Comparing and Evaluating Organizational Models: A Multi-agent Programming Contest Case Study

نویسندگان

  • Mariana Ramos Franco
  • Jaime Simão Sichman
چکیده

An important subset of multi-agent systems (MAS) are based on organizational models. These models try to define pre-defined intended agent interaction patterns. Given an application domain, however, the choice of a particular organizational model that better solves the problem is still an open problem. In order to guide this choice, a MAS developer must have the opportunity to test distinct organizational models easily. In this work, we compare and evaluate different organization models of a MAS, whose goal is to evolve in the “Agents on Mars” scenario proposed in the Multi-Agent Programming Contest (MAPC).

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تاریخ انتشار 2014