SOBE: Source behavior estimation for subjective opinions In multiagent systems

Name: SOBE: Source behavior estimation for subjective opinions In multiagent systems
Author: Şensoy, Murat, Kaplan, L., Mel, G. de, Gunes, Taha Doğan

İsim	SOBE: Source behavior estimation for subjective opinions In multiagent systems
Yazar	Şensoy, Murat, Kaplan, L., Mel, G. de, Gunes, Taha Doğan
Basım Tarihi:	2016
Basım Yeri	- International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Konu	Trust, Agents, Fusion
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1548-8403
Kayıt Numarası	c885f1d3-fbd0-4178-832e-28da8eff8011
Lokasyon	Computer Science
Tarih	2016
Notlar	the U.S. Army Research Laboratory ; the U.K. Ministry of Defence ; TÜBİTAK
Örnek Metin	In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions may not always be competent and honest but more likely erroneous or even malicious. Furthermore, malicious sources may adopt certain behaviors to mislead the decision maker in a specific way. Fortunately, the reports of such misleading sources are correlated to ground truth. In this work, we propose to learn statistically meaningful opinion transformations that represent various behaviors of information sources. Then, we exploit these transformations while fusing opinions from unreliable sources. We show that our approach can be used to determine set of transformations that may lead to more accurate estimation of the truth.

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SOBE: Source behavior estimation for subjective opinions In multiagent systems

Yazar Şensoy, Murat, Kaplan, L., Mel, G. de, Gunes, Taha Doğan

Basım Tarihi 2016

Basım Yeri - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

Konu Trust, Agents, Fusion

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1548-8403

Kayıt Numarası c885f1d3-fbd0-4178-832e-28da8eff8011

Lokasyon Computer Science

Tarih 2016

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

Örnek Metin In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions may not always be competent and honest but more likely erroneous or even malicious. Furthermore, malicious sources may adopt certain behaviors to mislead the decision maker in a specific way. Fortunately, the reports of such misleading sources are correlated to ground truth. In this work, we propose to learn statistically meaningful opinion transformations that represent various behaviors of information sources. Then, we exploit these transformations while fusing opinions from unreliable sources. We show that our approach can be used to determine set of transformations that may lead to more accurate estimation of the truth.