Abstract
This paper describes the architecture and core ideas of the multi-agent system created by the LTI-USP team which participated in the 2012 edition of the Multi-Agent Programming Contest (MAPC 2012). This is the second year of the Agents on Mars scenario, in which the competitors must design a team of agents to find and occupy the best zones of a weighted graph. The team was developed using the JaCaMo[1] multi-agent framework and the main strategy was to divide the agents into three subgroups: two in charge of occupying the best zones in the map, and the other one in charge of sabotaging the opponents. © 2013 Springer-Verlag.
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CITATION STYLE
Franco, M. R., Rosset, L. M., & Sichman, J. S. (2013). LTI-USP team: A JaCaMo based MAS for the MAPC 2012. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7837 LNAI, pp. 224–233). https://doi.org/10.1007/978-3-642-38700-5_15
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