Improving the LTI-USP Team: A New JaCaMo Based MAS for the MAPC 2013

  • Mariana Ramos Franco
  • Jaime Simão Sichman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8245)


This paper describes the architecture and core ideas of the multi-agent system created by the LTI-USP team which participated in the 2013 edition of the “Multi-Agent Programming Contest” (MAPC). This is the third 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 multi-agent framework and it is an improvement of the system used in the last year contest.


Multiagent System Belief Base World Model Good Zone Organisational Artifact 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Köster, M., Schlesinger, F., Dix, J.: The Multi-Agent Programming Contest 2012. In: Dastani, M., Hübner, J.F., Logan, B. (eds.) ProMAS 2012. LNCS, vol. 7837, pp. 174–195. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  2. 2.
    Bordini, R.H., Gouveia, G.P., Pereira, R.H., Picard, G., Piunti, M., Sichman, J.S.: Using Jason, Moise, and CArtAgO to Develop a Team of Cowboys. In: Proceedings of 10th International Workshop on Computational Logic in Multi-Agent Systems, pp. 203–207 (2009)Google Scholar
  3. 3.
    Gouveia, G., Pereira, R., Sichman, J.: The USP Farmers herding team. Annals of Mathematics and Artificial Intelligence 61, 369–383 (2011), doi:10.1007/s10472-011-9238-xCrossRefMATHGoogle Scholar
  4. 4.
    Franco, M.R., Rosset, L.M., Sichman, J.S.: LTI-USP Team: A JaCaMo Based MAS for the MAPC 2012. In: Dastani, M., Hübner, J.F., Logan, B. (eds.) ProMAS 2012. LNCS, vol. 7837, pp. 224–233. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  5. 5.
    Boissier, O., Bordini, R.H., Hübner, J.F., Ricci, A., Santi, A.: Multi-agent oriented programming with JaCaMo. In: Science of Computer Programming (2011)Google Scholar
  6. 6.
    Bordini, R., Hübner, J., Wooldridge, M.: Programming multi-agent systems in AgentSpeak using Jason (2007)Google Scholar
  7. 7.
    Ricci, A., Piunti, M., Viroli, M.: Environment programming in multi-agent systems: an artifact-based perspective. Autonomous Agents and Multi-Agent Systems 23(2), 158–192 (2010)CrossRefGoogle Scholar
  8. 8.
    Hübner, J.F., Boissier, O., Kitio, R., Ricci, A.: Instrumenting multi-agent organisations with organisational artifacts and agents. Autonomous Agents and Multi-Agent Systems 20(3), 369–400 (2009)CrossRefGoogle Scholar
  9. 9.
    Rao, A.S.: AgentSpeak(L): BDI agents speak out in a logical computable language. In: Perram, J., Van de Velde, W. (eds.) MAAMAW 1996. LNCS, vol. 1038, pp. 42–55. Springer, Heidelberg (1996)CrossRefGoogle Scholar
  10. 10.
    Behrens, T.M., Dix, J., Hindriks, K.V.: The Environment Interface Standard for Agent-Oriented Programming - Platform Integration Guide and Interface Implementation Guide. Department of Informatics, Clausthal University of Technology, Technical Report IfI-09-10 (2009)Google Scholar
  11. 11.
    Omicini, A., Ricci, A., Viroli, M.: Artifacts in the A&A meta-model for multi-agent systems. Autonomous Agents and Multi-Agent Systems 17(3), 432–456 (2008)CrossRefGoogle Scholar
  12. 12.
    Hübner, J., Sichman, J., Boissier, O.: Developing organised multiagent systems using the MOISE+ model: programming issues at the system and agent levels. International Journal of Agent-Oriented Software Engineering, 1–27 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mariana Ramos Franco
    • 1
  • Jaime Simão Sichman
    • 1
  1. 1.Laboratório de Técnicas Inteligentes (LTI)Escola Politécnica (EP), Universidade de São Paulo (USP)Brazil

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