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Reasoning under uncertainty: variations of subjective logic deduction

İsim Reasoning under uncertainty: variations of subjective logic deduction
Yazar Kaplan, L. M., Şensoy, Murat, Tang, Y., Chakraborty, S., Bisdikian, C., de Mel, G.
Basım Tarihi: 2013
Basım Yeri - IEEE
Konu Monte Carlo methods, Ontologies (artificial intelligence), Probabilistic logic
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 978-605-86311-1-3
Kayıt Numarası 2b401180-c827-43d5-a691-9e54586a9cdf
Lokasyon Computer Science
Tarih 2013
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin This work develops alternatives to the classical subjective logic deduction operator. Given antecedent and consequent propositions, the new operators form opinions of the consequent that match the variance of the consequent posterior distribution given opinions on the antecedent and the conditional rules connecting the antecedent with the consequent. As a result, the uncertainty of the consequent actually map to the spread for the probability projection of the opinion. Monte Carlo simulations demonstrate this connection for the new operators. Finally, the work uses Monte Carlo simulations to evaluate the quality of fusing opinions from multiple agents before and after deduction.
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Reasoning under uncertainty: variations of subjective logic deduction

Yazar Kaplan, L. M., Şensoy, Murat, Tang, Y., Chakraborty, S., Bisdikian, C., de Mel, G.
Basım Tarihi 2013
Basım Yeri - IEEE
Konu Monte Carlo methods, Ontologies (artificial intelligence), Probabilistic logic
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 978-605-86311-1-3
Kayıt Numarası 2b401180-c827-43d5-a691-9e54586a9cdf
Lokasyon Computer Science
Tarih 2013
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin This work develops alternatives to the classical subjective logic deduction operator. Given antecedent and consequent propositions, the new operators form opinions of the consequent that match the variance of the consequent posterior distribution given opinions on the antecedent and the conditional rules connecting the antecedent with the consequent. As a result, the uncertainty of the consequent actually map to the spread for the probability projection of the opinion. Monte Carlo simulations demonstrate this connection for the new operators. Finally, the work uses Monte Carlo simulations to evaluate the quality of fusing opinions from multiple agents before and after deduction.
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