Trust estimation and fusion of uncertain information by exploiting consistency

Name: Trust estimation and fusion of uncertain information by exploiting consistency
Author: Kaplan, L., Şensoy, Murat, de Mel, G.

İsim	Trust estimation and fusion of uncertain information by exploiting consistency
Yazar	Kaplan, L., Şensoy, Murat, de Mel, G.
Basım Tarihi:	2014
Basım Yeri	- IEEE
Konu	Multi-agent systems, Sensor fusion, Trusted computing
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2-s2.0-84910624240
Kayıt Numarası	96fbffa8-8710-4821-b942-1aa450d87df0
Lokasyon	Computer Science
Tarih	2014
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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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Trust estimation and fusion of uncertain information by exploiting consistency

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

Basım Tarihi 2014

Basım Yeri - IEEE

Konu Multi-agent systems, Sensor fusion, Trusted computing

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2-s2.0-84910624240

Kayıt Numarası 96fbffa8-8710-4821-b942-1aa450d87df0

Lokasyon Computer Science

Tarih 2014

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

Örnek Metin 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.