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A Methodology for Determining the Creditability of Recommending Agents

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

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Abstract

The trusting agent in order to analyze the Risk that could be present in its future interaction with a trusted agent might solicit for its recommendations from other agents. Based on the recommendations achieved the trusting agent can decide whether to interact or not with the trusted agent. If the trusting agent decides to proceed, then after its interaction it should adjust the creditability of the recommending agents, whose recommendation it considered. Doing this would help the future trusting agents to classify the recommending agents according to their trustworthiness and ignore those which are un-trustworthy. In this paper we propose such an approach by which the trusting agent adjusts the credibility of the recommending agent after its interaction depending on the recommendation that it gave.

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Author information

Authors and Affiliations

  1. School of Information Systems, Curtin University of Technology, Perth, Australia

    Omar Khadeer Hussain, Elizabeth Chang & Farookh Khadeer Hussain

  2. Faculty of Information Technology, University of Technology, Sydney, Australia

    Tharam S. Dillon

Authors
  1. Omar Khadeer Hussain
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  2. Elizabeth Chang
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  3. Farookh Khadeer Hussain
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  4. Tharam S. Dillon
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Hussain, O.K., Chang, E., Hussain, F.K., Dillon, T.S. (2006). A Methodology for Determining the Creditability of Recommending Agents. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_141

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  • DOI: https://doi.org/10.1007/11893011_141

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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