Using Case-Based Reasoning to Acquire User Scheduling Preferences that Change over Time - Robotics Institute Carnegie Mellon University

Using Case-Based Reasoning to Acquire User Scheduling Preferences that Change over Time

Katia Sycara, Dajun Zeng, and K. Miyashita
Conference Paper, Proceedings of 11th Conference on Artificial Intelligence for Applications, pp. 240 - 246, February, 1995

Abstract

Production/Manufacturing scheduling typically involves the acquisition of user optimization preferences. The ill-structuredness of both the problem space and the desired objectives make practical scheduling problems difficult to formalize and costly to solve, especially when problem configurations and user optimization preferences change over time. This paper advocates an incremental revision framework for improving schedule quality and incorporating user dynamically changing preferences through Case-Based Reasoning. Our implemented system, called CABINS, records situation-dependent tradeoffs and consequences that result from schedule revision to guide schedule improvement. The preliminary experimental results show that CABINS is able to effectively capture both user static and dynamic preferences which are not known to the system and only exist implicitly in a extensional manner in the case base.

BibTeX

@conference{Sycara-1995-16175,
author = {Katia Sycara and Dajun Zeng and K. Miyashita},
title = {Using Case-Based Reasoning to Acquire User Scheduling Preferences that Change over Time},
booktitle = {Proceedings of 11th Conference on Artificial Intelligence for Applications},
year = {1995},
month = {February},
pages = {240 - 246},
}