{"type":"ScholarlyArticle","title":"Defining Salience in Case-Based Arguments","authors":[{"name":"Kevin D. Ashley","slug":"kevin-d-ashley","given":"Kevin D.","family":"Ashley","affiliation":""}],"abstract":"A largely unreali7:ed goal of AT has been to design systems that can tailor descriptions of kn o wledge base objects to suit alternative points of view and contexts. Th .is problem is examined here with respect to case-based arguments, arguments in which past cases are c ited as justifications for a decision. We define tl1e features of a case that are salient in describing it from various viewpoints and in a variety of argument contexts emp l oyed in IIYPO, an ach·ersarial case-based reasoning program. \\Ve demonstrate HYPO's ability to slant case descriptions from opposi ng viewpoints and to tailor the descriptions to fit contextual roles in an argument, including c iting the case, distinguishing it, posing it as a counterexample or as the target of a hypothetical.","doi":null,"url":"https://ijcai.org/proceedings/1989/86","pdf":"https://ijcai.org/proceedings/1989/0086.pdf","markdown":"https://ijcai.org/proceedings/1989/86.md","bibtex":"https://ijcai.org/proceedings/1989/bibtex/86","volume":{"slug":"1989","title":"Proceedings of the Eleventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1989","url":"https://ijcai.org/proceedings/1989/","year":1989,"location":"Detroit, Michigan, USA","dates":"August 20-25 1989","editors":"N. S. Sridharan","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Cognitive Models","track":"Cognitive Models","number":86,"pages":{"first":537,"last":541},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}