A Probabilistic Trust Model for Handling Inaccurate Reputation Sources
OA Location
Author(s)
Patel, Jigar
Teacy, WT Luke
Jennings, NR
Luck, Michael
Type
Conference Paper
Abstract
This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems in particular. The following are key drivers for our model: (1) agents may be self-interested and may provide false accounts of experiences with other agents if it is beneficial for them to do so; (2) agents will need to interact with other agents with which they have no past experience. Against this background, we have developed TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) which models an agent?s trust in an interaction partner. Specifically, trust is calculated using probability theory taking account of past interactions between agents. When there is a lack of personal experience between agents, the model draws upon reputation information gathered from third parties. In this latter case, we pay particular attention to handling the possibility that reputation information may be inaccurate.
Editor(s)
Herrmann, P
Issarny, V
Shiu, S
Date Issued
2005
Citation
2005, pp.193-209
Publisher
Springer-Verlag
Start Page
193
End Page
209
Identifier
http://eprints.soton.ac.uk/260581/
Source
Third International Conference on Trust Management
Subjects
Science & Technology
Technology
Computer Science, Theory & Methods
Computer Science
Artificial Intelligence & Image Processing
08 Information And Computing Sciences
Notes
copyright - Springer-Verlag Event Dates: 23-26 May, 2005 keywords: trust, multi-agent systems
Publication Status
Unpublished