---
title: "Index Transformation Techniques for Facilitating Creative Use of Multiple Cases"
authors:
  - "Katia P. Sycara"
  - "Dundee Navinchandra"
doi: ""
url: "https://ijcai.org/proceedings/1991/52"
pdf: "https://ijcai.org/proceedings/1991/0052.pdf"
venue: "Proceedings of the Twelfth International Joint Conference on Artificial Intelligence"
year: 1991
pages: "347-351"
track: "Cognitive Modeling"
keywords:
---

# Index Transformation Techniques for Facilitating Creative Use of Multiple Cases

Katia P. Sycara, Dundee Navinchandra

*Proceedings of the Twelfth International Joint Conference on Artificial Intelligence*, pages 347-351.

## Abstract

Using cases to find innovative solutions to problems is mainly the result of two processes: (1) cross-contextual remindings, 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 behaviorpreserving, a needed requirement for case synthesis in many domains of interest. The transformation techniques have been implemented in CADET, a case-based problem solver that operates in the domain of mechanical design.