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Trust estimation and fusion of uncertain information by exploiting consistency

Title	Trust estimation and fusion of uncertain information by exploiting consistency
Author	Kaplan, L., Şensoy, Murat, de Mel, G.
Publication Date:	2014
Publication Place	- IEEE
Subject	Multi-agent systems, Sensor fusion, Trusted computing
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2-s2.0-84910624240
Record ID	96fbffa8-8710-4821-b942-1aa450d87df0
Library Location	Computer Science
Date	2014
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	Agents may cooperate by communicating their opinions about various phenomena. These opinions are then fused by agents and used for informed decision-making. However, fusing opinions from diverse sources is not trivial - especially in open multiagent systems - where it is not possible to ensure that the sources are honest and their opinions are not misleading. In this paper, we propose a novel approach that exploits consistencies and conflicts between personal observations and shared information to derive trust evidence for information sources. Based on the derived evidence, we describe how opinions from diverse sources can be fused. We have evaluated our approach for trust estimation and opinion fusion using a service selection scenario. Through extensive simulations, we have shown that our approach significantly outperforms the existing trust-based information fusion approaches.

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Özyeğin University

Trust estimation and fusion of uncertain information by exploiting consistency

Author Kaplan, L., Şensoy, Murat, de Mel, G.

Publication Date 2014

Publication Place - IEEE

Subject Multi-agent systems, Sensor fusion, Trusted computing

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2-s2.0-84910624240

Record ID 96fbffa8-8710-4821-b942-1aa450d87df0

Library Location Computer Science

Date 2014

Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Sample Text Agents may cooperate by communicating their opinions about various phenomena. These opinions are then fused by agents and used for informed decision-making. However, fusing opinions from diverse sources is not trivial - especially in open multiagent systems - where it is not possible to ensure that the sources are honest and their opinions are not misleading. In this paper, we propose a novel approach that exploits consistencies and conflicts between personal observations and shared information to derive trust evidence for information sources. Based on the derived evidence, we describe how opinions from diverse sources can be fused. We have evaluated our approach for trust estimation and opinion fusion using a service selection scenario. Through extensive simulations, we have shown that our approach significantly outperforms the existing trust-based information fusion approaches.