From Testing Agent Systems to a Scalable Simulation Platform

  • Tobias Ahlbrecht
  • Jürgen Dix
  • Federico Schlesinger
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9060)

Abstract

Since 10 years our group in Clausthal is organizing the Multi-Agent Programming Contest, an international contest providing a flexible testbed for evaluating prototypical implementations of agent systems. We describe in this paper how the scenarios developed over time, which lessons we learned, and how this endeavour finally led to the idea of a scalable multiagent simulation platform. The important conclusion we draw is the need to move from academic prototypes to more seriously engineered software systems in order to support the uptake of academic research in industry.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Ahlbrecht, T., et al.: Multi-agent programming contest 2013: The teams and the design of their systems. In: Cossentino, et al. (eds.) [8], pp. 366–390 Google Scholar
  2. 2.
    Ahlbrecht, T., Dix, J., Köster, M., Kraus, P., Müller, J.P.: A scalable runtime platform for multiagent-based simulation. In: Dalpaiz, F., Dix, J., van Riemsdijk, B. (eds.) EMAS 2014. LNCS, vol. 8758, pp. 81–102. Springer, Heidelberg (2014)Google Scholar
  3. 3.
    Ahlbrecht, T., Dix, J., Köster, M., Kraus, P., Müller, J.P.: A scalable runtime platform for multiagent-based simulation. Technical Report IfI-14-02, TU Clausthal (February 2014)Google Scholar
  4. 4.
    Ahlbrecht, T., Dix, J., Köster, M., Schlesinger, F.: Multi-agent programming contest 2013. In: Cossentino, et al. (eds.) [8], pp. 292–318Google Scholar
  5. 5.
    Behrens, T.M., Dastani, M., Dix, J., Köster, M., Novàk, P.: The multi-agent programming contest from 2005-2010 - from gold collecting to herding cows. Ann. Math. Artif. Intell. 59(3-4), 277–311 (2010)CrossRefGoogle Scholar
  6. 6.
    Behrens, T.M., Hindriks, K.V., Dix, J.: Towards an environment interface standard for agent platforms. Ann. Math. Artif. Intell. 61(4), 261–295 (2011)CrossRefMATHGoogle Scholar
  7. 7.
    Chu, V.-H., Görmer, J., Müller, J.P.: ATSim: Combining AIMSUN and Jade for agent-based traffic simulation. In: Proc. 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA). Electronic Proceedings, vol. 1, AEPIA (2011)Google Scholar
  8. 8.
    Cossentino, M., Fallah-Seghrouchni, A.E., Winikoff, M.: EMAS 2013. LNCS, vol. 8245. Springer, Heidelberg (2013)Google Scholar
  9. 9.
    Hindriks, K., Dix, J.: Goal: A multi-agent programming language applied to an exploration game. In: Shehory, O., Sturm, A. (eds.) Research Directions Agent-Oriented Software Engineering, pp. 112–136. Springer (2013)Google Scholar
  10. 10.
    Weiss, G.: Multiagent Systems. The MIT Press (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Tobias Ahlbrecht
    • 1
  • Jürgen Dix
    • 1
  • Federico Schlesinger
    • 1
  1. 1.Department of InformaticsClausthal University of TechnologyClausthal-ZellerfeldGermany

Personalised recommendations