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Calibrating Collective Commitments

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  • First Online:
Multi-Agent Systems and Applications III (CEEMAS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2691))

Abstract

In this paper we aim to formally model the strongest motivational attitude occurring in teamwork, collective commitment. First, building on our previous work, a logical framework is sketched in which social commitments and collective intentions are formalized. Then, different versions of collective commitments are given, reflecting different aspects of Cooperative Problem Solving, and applicable in different situations. The definitions differ with respect to the aspects of teamwork of which the agents involved are aware, and the kind of awareness present within a team. This way a kind of tuning mechanism is provided for the system developer to tune a version of collective commitment fitting the circumstances. Finally, a few exemplar versions of collective commitment resulting from instantiating the general tuning scheme are presented.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Barbara Dunin-Keplicz

  2. Institute of Computer Science, Polish Academy of Sciences, Ordona 21, 01-237, Warsaw, Poland

    Barbara Dunin-Keplicz

  3. Institute of Artificial Intelligence, University of Groningen, Grote Kruisstraat 2/1, 9712, TS Groningen, The Netherlands

    Rineke Verbrugge

Authors
  1. Barbara Dunin-Keplicz
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  2. Rineke Verbrugge
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Dept. of Cybernetics, Czech Technical University, 16627, Praha 6, Czech Republic

    Vladimír Mařík  & Michal Pěchouček  & 

  2. Siemens AG, CT, IC 6, Otto-Hahn-Ring 6, 81730, München, Germany

    Jörg Müller

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© 2003 Springer-Verlag Berlin Heidelberg

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Dunin-Keplicz, B., Verbrugge, R. (2003). Calibrating Collective Commitments. In: Mařík, V., Pěchouček, M., Müller, J. (eds) Multi-Agent Systems and Applications III. CEEMAS 2003. Lecture Notes in Computer Science(), vol 2691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45023-8_9

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  • DOI: https://doi.org/10.1007/3-540-45023-8_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40450-7

  • Online ISBN: 978-3-540-45023-8

  • eBook Packages: Springer Book Archive

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