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European Conference on Multi-Agent Systems

EUMAS 2014: Multi-Agent Systems pp 3–18Cite as

Ants in the OCEAN: Modulating Agents with Personality for Planning with Humans

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8953))

Abstract

This work introduces a prototype that demonstrates the idea of using a psychological theory of personality types known as the Five-Factor Model (FFM) in planning for human-agent teamwork scenarios. FFM is integrated into the BDI model of agency leading to variations in the interpretation of inputs, the decision-making process and the generation of outputs. This is demonstrated in a multi-agent simulation. Furthermore, it is outlined how these variations can be used for the planning process in collaborative settings.

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Notes

  1. 1.

    In fact, it might be hard to clearly distinguish the information sources. That is because other agents are part of the environment and the observation of the behaviour of other agents might thus be both an observation of the environment and an (implicit) communication act.

  2. 2.

    For further information about the simulation environment the interested reader is referred to http://www.antme.net/.

  3. 3.

    The \(-\), \(+\) label represent a value in the interval \([0.0,0.5]\), \([0.5,1.0]\) respectively.

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Authors and Affiliations

  1. DAI-Laboratory of the Technische Universität Berlin, Faculty of Electrical Engineering and Computer Science, Ernst-Reuter-Platz 7, 10587, Berlin, Germany

    Sebastian Ahrndt, Armin Aria, Johannes Fähndrich & Sahin Albayrak

Authors
  1. Sebastian Ahrndt
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  2. Armin Aria
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  3. Johannes Fähndrich
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  4. Sahin Albayrak
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Corresponding author

Correspondence to Sebastian Ahrndt .

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Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Nils Bulling

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Ahrndt, S., Aria, A., Fähndrich, J., Albayrak, S. (2015). Ants in the OCEAN: Modulating Agents with Personality for Planning with Humans. In: Bulling, N. (eds) Multi-Agent Systems. EUMAS 2014. Lecture Notes in Computer Science(), vol 8953. Springer, Cham. https://doi.org/10.1007/978-3-319-17130-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-17130-2_1

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