Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Towards Improved Partner Selection Using Recommendations and Trust

Tools
- Tools
+ Tools

Keung, Sarah N. Lim Choi and Griffiths, Nathan (2008) Towards Improved Partner Selection Using Recommendations and Trust. In: 11th International Workshop on Trust in Agent Societies, Estoril, Portugal, May 12-13, 2008. Published in: Lecture Notes in Computer Science, Vol.5396 pp. 43-64.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/978-3-540-92803-4

Abstract

Agents in open and dynamic environments face the challenge of uncertainty while interacting with others to achieve their goals. They face quick and unforeseen changes to the behaviour of other agents and the population itself, as agents join and leave at will. Since agents are assumed to be self-interested, it is essential for them to be able to choose the most reliable interaction partners to maximise the success of their interactions. Efficient agent selection requires information about their behaviour in different situations. This information can be obtained from direct experience as well as from recommendations. This paper presents a trust and reputation model, which allows agents to select interaction partners efficiently by adapting quickly to a dynamic environment. Our approach is built upon a number of components from several existing models to assess trustworthiness from direct interactions and recommendations. We take a multidimensional approach to evaluate trust and reputation and include indirect recommendations as another source of trust. This reinforces our previous work on recommendation sharing, which includes information about the recency and relevance of interactions, allowing ail evaluator to select recommenders based on trust.

Item Type: Conference Item (UNSPECIFIED)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Series Name: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal or Publication Title: Lecture Notes in Computer Science
Publisher: Springer
ISBN: 978-3-540-92802-7
ISSN: 0302-9743
Editor: Falcone, R and Barber, SK and SabaterMir, J and Singh, MP
Date: 2008
Volume: Vol.5396
Number of Pages: 22
Page Range: pp. 43-64
Identification Number: 10.1007/978-3-540-92803-4
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Title of Event: 11th International Workshop on Trust in Agent Societies
Type of Event: Workshop
Location of Event: Estoril, Portugal
Date(s) of Event: May 12-13, 2008
URI: http://wrap.warwick.ac.uk/id/eprint/28430

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item View Item
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us