{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:40:02Z","timestamp":1723016402560},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:p>Abstract argumentation is a prominent reasoning framework. \n\nIt comes with a variety of semantics, and has lately been enhanced by probabilities to enable a quantitative treatment of argumentation. \n\nWhile admissibility is a fundamental notion in the classical setting, it has been merely reflected so far in the probabilistic setting. \n\nIn this paper, we address the quantitative treatment of argumentation based on probabilistic notions of admissibility in a way that they form fully conservative extensions of classical notions. \n\nIn particular, our building blocks are not the beliefs regarding single arguments. \n\nInstead we start from the fairly natural idea that whatever argumentation semantics is to be considered, semantics systematically induces constraints on the joint probability distribution on the sets of arguments. \n\nIn some cases there might be many such distributions, even infinitely many ones, in other cases there may be one or none. \n\nStandard semantic notions are shown to induce such sets of constraints, and so do their probabilistic extensions. \n\nThis allows them to be tackled by SMT solvers, as we demonstrate by a proof-of-concept implementation. \n\nWe present a taxonomy of semantic notions, also in relation to published work, together with a running example illustrating our achievements.<\/jats:p>","DOI":"10.24963\/kr.2021\/9","type":"proceedings-article","created":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T16:45:56Z","timestamp":1633970756000},"page":"87-98","source":"Crossref","is-referenced-by-count":0,"title":["Admissibility in Probabilistic Argumentation"],"prefix":"10.24963","author":[{"given":"Christel","family":"Baier","sequence":"first","affiliation":[{"name":"TU Dresden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Diller","sequence":"additional","affiliation":[{"name":"TU Dresden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clemens","family":"Dubslaff","sequence":"additional","affiliation":[{"name":"TU Dresden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarah Alice","family":"Gaggl","sequence":"additional","affiliation":[{"name":"TU Dresden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Holger","family":"Hermanns","sequence":"additional","affiliation":[{"name":"Saarland University"},{"name":"Institute of Intelligent Software, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolai","family":"K\u00e4fer","sequence":"additional","affiliation":[{"name":"TU Dresden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"18","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","Sea AI Lab","Potassco Solutions","European Association for Artificial Intelligence"],"acronym":"KR-2021","name":"18th International Conference on Principles of Knowledge Representation and Reasoning {KR-2021}","start":{"date-parts":[[2020,11,12]]},"theme":"Artificial Intelligence","location":"Hanoii, Vietnam","end":{"date-parts":[[2021,11,18]]}},"container-title":["Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T16:46:02Z","timestamp":1633970762000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2021\/9"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2021\/9","relation":{},"subject":[],"published":{"date-parts":[[2021,9]]}}}