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Trust in distributed artificial intelligence

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  • First Online:
Artificial Social Systems (MAAMAW 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 830))

Abstract

A discussion of trust is presented which focuses on multiagent systems, from the point of view of one agent in a system. The roles trust plays in various forms of interaction are considered, with the view that trust allows interactions between agents where there may have been no effective interaction possible before trust. Trust allows parties to acknowledge that, whilst there is a risk in relationships with potentially malevolent agents, some form of interaction may produce benefits, where no interaction at all may not. In addition, accepting the risk allows the trusting agent to prepare itself for possibly irresponsible or untrustworthy behaviour, thus minimizing the potential damage caused. A formalism is introduced to clarify these notions, and to permit computer simulations. An important contribution of this work is that the formalism is not allen-compassing: there are some notions of trust that are excluded. What it describes is a specific view of trust.

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Authors and Affiliations

  1. Department of Computing Science and Mathematics, University of Stirling, FK9 4LA, Stirling, Scotland

    Stephen Marsh

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  1. Stephen Marsh
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Editor information

Cristiano Castelfranchi Eric Werner

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© 1994 Springer-Verlag Berlin Heidelberg

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Marsh, S. (1994). Trust in distributed artificial intelligence. In: Castelfranchi, C., Werner, E. (eds) Artificial Social Systems. MAAMAW 1992. Lecture Notes in Computer Science, vol 830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58266-5_6

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  • DOI: https://doi.org/10.1007/3-540-58266-5_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58266-3

  • Online ISBN: 978-3-540-48589-6

  • eBook Packages: Springer Book Archive

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