Defining Salience in Case-Based Arguments
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Cognitive Models. 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.
@inproceedings{ijcai1989p86,
title = {Defining Salience in Case-Based Arguments},
author = {Ashley, Kevin D.},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {537--541},
year = {1989},
month = {8},
note = {Cognitive Models},
url = {https://ijcai.org/proceedings/1989/86},
}
TY - CPAPER TI - Defining Salience in Case-Based Arguments AU - Ashley, Kevin D. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 537 EP - 541 UR - https://ijcai.org/proceedings/1989/86 ER -Copied
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