Abstract
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).
Cite
CITATION STYLE
Franco, M. R., & Sichman, J. S. (2015). Comparing and evaluating organizational models: A multi-agent programming contest case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9372, pp. 182–196). Springer Verlag. https://doi.org/10.1007/978-3-319-25420-3_12
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