Index Transformation Techniques for Facilitating Creative Use of Multiple Cases - Robotics Institute Carnegie Mellon University

Index Transformation Techniques for Facilitating Creative Use of Multiple Cases

Katia Sycara and Dundee Navin-Chandra
Conference Paper, Proceedings of 12th International Joint Conference on Artificial Intelligence (IJCAI '91), pp. 347 - 352, August, 1991

Abstract

Using cases to find innovative solutions to problems is mainly the result of two processes: (1) cross-contextual rem in dings, and (2) composition of multiple cases or case parts. Although the ability to use cases taken from across contextual boundaries is desirable, there is a tension between representing and accessing cases across contexts and in using parts of multiple cases to synthesize a solution. One way of alleviating this difficulty is through index transformation. In this paper, we represent two index transformation techniques that facilitate both cross-contextual remindings and the access of multiple appropriate case parts. The mechanisms are general and principled (based on a qualitative calculus). They are also behavior- preserving, a needed requirement for case syn­ thesis in many domains of interest. The transfor­ mation techniques have been implemented in CADET, a case-based problem solver mat operates in the domain of mechanical design.

BibTeX

@conference{Sycara-1991-15827,
author = {Katia Sycara and Dundee Navin-Chandra},
title = {Index Transformation Techniques for Facilitating Creative Use of Multiple Cases},
booktitle = {Proceedings of 12th International Joint Conference on Artificial Intelligence (IJCAI '91)},
year = {1991},
month = {August},
pages = {347 - 352},
}