---
title: "Defining Salience in Case-Based Arguments"
authors:
  - "Kevin D. Ashley"
doi: ""
url: "https://ijcai.org/proceedings/1989/86"
pdf: "https://ijcai.org/proceedings/1989/0086.pdf"
venue: "Proceedings of the Eleventh International Joint Conference on Artificial Intelligence"
year: 1989
pages: "537-541"
track: "Cognitive Models"
keywords:
---

# Defining Salience in Case-Based Arguments

Kevin D. Ashley

*Proceedings of the Eleventh International Joint Conference on Artificial Intelligence*, pages 537-541.

## 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.