Output details
11 - Computer Science and Informatics
Imperial College London
Output title
Combining statistics and arguments to compute trust.
Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'10)
Volume number
1
Issue number
-
First page of article
209
ISSN of proceedings
-
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
<22>
The paper integrates two different AI methods (belief functions and argumentation) to provide a novel method for trust computing that is an extension of an existing, well-established method and improves it considerably in terms of predictive precision. The method is evaluated theoretically and empirically.
The paper resulted from a collaboration with industry in the EU project ARGUGRID.
AAMAS is the top conference for multi-agent systems in AI. Submitted papers: 721. Acceptance rate: 22%.
Research student: Paul-Amaury Matt
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Logic and Artificial Intelligence
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
