{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T07:00:02Z","timestamp":1762326002235,"version":"build-2065373602"},"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":[[2025,11]]},"abstract":"<jats:p>This work develops an approach to qualitative belief\n\nrevision in a fully probabilistic setting. We begin with a\n\nlogic where possible worlds are assigned probabilities. In\n\nthis logic an agent may believe a formula is true even\n\nthough the subjective probability of the formula is less\n\nthan 1.0. Similarly, after revision by a formula \u03d5, the\n\nagent will believe \u03d5 is true, even though the agent\u2019s\n\nsubjective probability of \u03d5 may be less than 1.0. We establish a\n\ncorrespondence with the hallmark AGM postulates for belief\n\nrevision. Moreover, we use Jeffrey Conditionalisation to\n\nestablish a link with iterated belief change. To this end,\n\nwe develop an approach that satisfies appropriately\n\nmodified Darwiche-Pearl postulates (with clear\n\njustification). Thus, we provide a connection between\n\nquantitative probabilistic approaches on the one hand and\n\nthe qualitative formulation of belief change, on the other.\n\nThis work holds potential for the development\n\nof practical belief revision systems by applying a\n\n(qualitative) approach to belief change in probabilistic,\n\nuncertain domains.<\/jats:p>","DOI":"10.24963\/kr.2025\/25","type":"proceedings-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:10:44Z","timestamp":1762323044000},"page":"250-259","source":"Crossref","is-referenced-by-count":0,"title":["Belief Revision in a Probabilistic Setting"],"prefix":"10.24963","author":[{"given":"James P.","family":"Delgrande","sequence":"first","affiliation":[{"name":"Simon Fraser University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerhard","family":"Lakemeyer","sequence":"additional","affiliation":[{"name":"RWTH Aachen University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maurice","family":"Pagnucco","sequence":"additional","affiliation":[{"name":"The University of New South Wales"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua","family":"Sack","sequence":"additional","affiliation":[{"name":"California State University Long Beach"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"22nd International Conference on Principles of Knowledge Representation and Reasoning {KR-2025}","theme":"Artificial Intelligence","location":"Melbourne, Australia","acronym":"KR-2025","number":"22","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","Academic College of Tel-Aviv","European Association for Artificial Intelligence","National Science Foundation"],"start":{"date-parts":[[2025,11,11]]},"end":{"date-parts":[[2025,11,17]]}},"container-title":["Proceedings of the TwentySecond International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:11:02Z","timestamp":1762323062000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2025\/25"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2025\/25","relation":{},"subject":[],"published":{"date-parts":[[2025,11]]}}}