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dc.contributor.authorCerutti, F.
dc.contributor.authorKaplan, L.
dc.contributor.authorKimmig, A.
dc.contributor.authorŞensoy, Murat
dc.date.accessioned2020-08-27T14:15:55Z
dc.date.available2020-08-27T14:15:55Z
dc.date.issued2019-07-17
dc.identifier.isbn978-1-57735-809-1
dc.identifier.urihttp://hdl.handle.net/10679/6845
dc.identifier.urihttps://aaai.org/ojs/index.php/AAAI/article/view/4773
dc.description.abstractWe enable aProbLog-a probabilistic logical programming approach-to reason in presence of uncertain probabilities represented as Beta-distributed random variables. We achieve the same performance of state-of-the-art algorithms for highly specified and engineered domains, while simultaneously we maintain the flexibility offered by aProbLog in handling complex relational domains. Our motivation is that faithfully capturing the distribution of probabilities is necessary to compute an expected utility for effective decision making under uncertainty: unfortunately, these probability distributions can be highly uncertain due to sparse data. To understand and accurately manipulate such probability distributions we need a well-defined theoretical framework that is provided by the Beta distribution, which specifies a distribution of probabilities representing all the possible values of a probability when the exact value is unknown.en_US
dc.description.sponsorshipUnited States Department of Defense US Army Research Laboratory (ARL) ; U.K. Ministry of Defence
dc.description.sponsorshipThe Association for the Advancement of Artificial Intelligence
dc.language.isoengen_US
dc.publisherAssociation for the Advancement of Artificial Intelligenceen_US
dc.relation.ispartofProceedings of the AAAI Conference on Artificial Intelligence
dc.rightsopenAccess
dc.titleProbabilistic logic programming with beta-distributed random variablesen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat
dc.contributor.ozuauthorŞensoy, Murat
dc.identifier.volume33en_US
dc.identifier.issue1en_US
dc.identifier.startpage7769en_US
dc.identifier.endpage7776en_US
dc.identifier.wosWOS:000486572502037
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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