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German Conference on Multiagent System Technologies

MATES 2015: Multiagent System Technologies pp 275–279Cite as

Towards A Formal Model of Opportunism Based on Situation Calculus

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9433))

Abstract

Opportunism is a social behavior that achieves own gains at the expense of others. In this study, we propose a formal model of opportunism, which consists of the properties knowledge asymmetry, value opposition and intention, based on situation calculus.

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Notes

  1. 1.

    Many papers in social science use information asymmetry to represent the situation where one party in a transaction knows more compared to another. We argue that once the information is stored in our mind and can be used appropriately it becomes our knowledge. For this reason, we would rather revise the term as knowledge asymmetry in this paper, which is also consistent with our technical framework.

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Author information

Authors and Affiliations

  1. Utrecht University, PO Box 80089, 3508 TB, Utrecht, The Netherlands

    Jieting Luo, Frank Dignum & John-Jules Meyer

Authors
  1. Jieting Luo
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  2. Frank Dignum
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  3. John-Jules Meyer
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Corresponding author

Correspondence to Jieting Luo .

Editor information

Editors and Affiliations

  1. Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  2. Erasmus University Rotterdam, Rotterdam, The Netherlands

    Wolf Ketter

  3. Bar Ilan University, Ramat Gan, Israel

    Gal Kaminka

  4. Brandenburg University of Technology, Cottbus, Germany

    Gerd Wagner

  5. Delft University of Technology, Delft, The Netherlands

    Nils Bulling

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© 2015 Springer International Publishing Switzerland

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Luo, J., Dignum, F., Meyer, JJ. (2015). Towards A Formal Model of Opportunism Based on Situation Calculus. In: Müller, J., Ketter, W., Kaminka, G., Wagner, G., Bulling, N. (eds) Multiagent System Technologies . MATES 2015. Lecture Notes in Computer Science(), vol 9433. Springer, Cham. https://doi.org/10.1007/978-3-319-27343-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-27343-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27342-6

  • Online ISBN: 978-3-319-27343-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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