Partial observable update for subjective logic and its application for trust estimation

Name: Partial observable update for subjective logic and its application for trust estimation
Author: Kaplan, L., Şensoy, Murat, Chakraborty, S., de Mel, G.

İsim	Partial observable update for subjective logic and its application for trust estimation
Yazar	Kaplan, L., Şensoy, Murat, Chakraborty, S., de Mel, G.
Basım Tarihi:	2015
Basım Yeri	- Elsevier
Konu	Subjective logic, Partial observations, Dirichlet distributions, Uncertain information, Trust management
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1872-6305
Kayıt Numarası	abf0f2dc-7618-4f75-bd5d-c7de9b1828ab
Lokasyon	Computer Science
Tarih	2015
Notlar	U.S. Army Research Laboratory ; U.K. Ministry of Defence ; TÜBİTAK
Örnek Metin	Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations with uncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the multi-agent systems community as it connects beliefs and uncertainty in propositions to a rigorous statistical characterization via Dirichlet distributions. However, one serious limitation of SL is that the belief updates are done only based on completely observable evidence. This work extends SL to incorporate belief updates from partially observable evidence. Normally, the belief updates in SL presume that the current evidence for a proposition points to only one of its mutually exclusive attribute states. Instead, this work considers that the current attribute state may not be completely observable, and instead, one is only able to obtain a measurement that is statistically related to this state. In other words, the SL belief is updated based upon the likelihood that one of the attributes was observed. The paper then illustrates properties of the partial observable updates as a function of the state likelihood and illustrates the use of these likelihoods for a trust estimation application. Finally, the utility of the partial observable updates is demonstrated via various simulations including the trust estimation case.
DOI	10.1016/j.inffus.2015.01.005
Cilt	26

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Partial observable update for subjective logic and its application for trust estimation

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

Basım Tarihi 2015

Basım Yeri - Elsevier

Konu Subjective logic, Partial observations, Dirichlet distributions, Uncertain information, Trust management

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1872-6305

Kayıt Numarası abf0f2dc-7618-4f75-bd5d-c7de9b1828ab

Lokasyon Computer Science

Tarih 2015

Notlar U.S. Army Research Laboratory ; U.K. Ministry of Defence ; TÜBİTAK

Örnek Metin Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations with uncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the multi-agent systems community as it connects beliefs and uncertainty in propositions to a rigorous statistical characterization via Dirichlet distributions. However, one serious limitation of SL is that the belief updates are done only based on completely observable evidence. This work extends SL to incorporate belief updates from partially observable evidence. Normally, the belief updates in SL presume that the current evidence for a proposition points to only one of its mutually exclusive attribute states. Instead, this work considers that the current attribute state may not be completely observable, and instead, one is only able to obtain a measurement that is statistically related to this state. In other words, the SL belief is updated based upon the likelihood that one of the attributes was observed. The paper then illustrates properties of the partial observable updates as a function of the state likelihood and illustrates the use of these likelihoods for a trust estimation application. Finally, the utility of the partial observable updates is demonstrated via various simulations including the trust estimation case.

DOI 10.1016/j.inffus.2015.01.005

Cilt 26