{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T02:23:34Z","timestamp":1774146214644,"version":"3.50.1"},"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":[[2020,7]]},"abstract":"<jats:p>The belief revision literature has largely focussed on the issue of how to revise one\u2019s beliefs in the light of information regarding matters of fact. Here we turn to an important but comparatively neglected issue: How to model agents capable of acquiring information regarding which rules of inference (\u2018Ramsey Test conditionals\u2019) they ought to use in reasoning about these facts. Our approach to this second question of so-called \u2018conditional revision\u2019 is distinctive insofar as it abstracts from the controversial details of how the address the \ufb01rst. We introduce a \u2018plug and play\u2019 method for uniquely extending any iterated belief revision operator to the conditional case. The \ufb02exibility of our approach is achieved by having the result of a conditional revision by a Ramsey Test conditional (\u2018arrow\u2019) determined by that of a plain revision by its corresponding material conditional (\u2018hook\u2019). It is shown to satisfy a number of new constraints that are of independent interest.<\/jats:p>","DOI":"10.24963\/kr.2020\/24","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T04:39:16Z","timestamp":1597898356000},"page":"233-242","source":"Crossref","is-referenced-by-count":2,"title":["Revision by Conditionals: From Hook to Arrow"],"prefix":"10.24963","author":[{"given":"Jake","family":"Chandler","sequence":"first","affiliation":[{"name":"La Trobe University"}]},{"given":"Richard","family":"Booth","sequence":"additional","affiliation":[{"name":"Cardiff University"}]}],"member":"10584","event":{"name":"17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}","theme":"Artificial Intelligence","location":"Rhodes, Greece","acronym":"KR-2020","number":"17","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","Association for Logic Programming","Center for Perspicuous Computing","European Association for Artificial Intelligence","Ontopic - The Virtual Knowledge Graph Company"],"start":{"date-parts":[[2020,9,12]]},"end":{"date-parts":[[2020,9,18]]}},"container-title":["Proceedings of the Seventeenth International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T21:18:33Z","timestamp":1604611113000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2020\/24"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2020\/24","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}