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Argonauts: a working system for motivated cooperative agents

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Abstract

This paper presents the Argonauts multi-agent framework which was developed as part of a one year student project at Technische Universität Dortmund. The Argonauts framework builds on a BDI approach to model rational agents that act cooperatively in a dynamic and indeterministically changing environment. However, our agent model extends the traditional BDI approach in several aspects, most notably by incorporating motivation into the agent’s goal selection mechanism. The framework has been applied by the Argonauts team in the 2010 version of the annual multi-agent programming contest organized by Technische Universität Clausthal. In this paper, we present a high-level specification and analysis of the actual system used for solving the given scenario. We do this by applying the GAIA methodology, a high-level and iterative approach to model communication and roles in multi-agent scenarios. We further describe the technical details and insights gained during our participation in the multi-agent programming contest.

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Authors and Affiliations

  1. Information Engineering Group, Department of Computer Science, Technische Universität Dortmund, Dortmund, Germany

    Daniel Hölzgen, Thomas Vengels, Patrick Krümpelmann, Matthias Thimm & Gabriele Kern-Isberner

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  1. Daniel Hölzgen
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  2. Thomas Vengels
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  3. Patrick Krümpelmann
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  4. Matthias Thimm
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  5. Gabriele Kern-Isberner
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Correspondence to Matthias Thimm.

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Hölzgen, D., Vengels, T., Krümpelmann, P. et al. Argonauts: a working system for motivated cooperative agents. Ann Math Artif Intell 61, 309–332 (2011). https://doi.org/10.1007/s10472-011-9226-1

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  • DOI: https://doi.org/10.1007/s10472-011-9226-1

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