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Using Case-Based Reasoning to Acquire User Scheduling Preferences that Change over Time
K. Sycara, D. Zeng, and K. Miyashita
Proceedings of the Eleventh IEEE Conference on Artificial Intelligence Applications, 1995.

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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 dicult to formalize and costly to solve, especially when problem congurations 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 tradeos and consequencs that result from schedule revision to guide schedule improvement. The preliminary experimental results show that CABINS is able to eectively 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.

Associated center: CIMDS
Associated lab/group: Case Based Reasoning Lab
Associated project: CABINS

K. Sycara, D. Zeng, and K. Miyashita, "Using Case-Based Reasoning to Acquire User Scheduling Preferences that Change over Time," Proceedings of the Eleventh IEEE Conference on Artificial Intelligence Applications, 1995.

@inproceedings{Sycara_1995_2215,
   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 the Eleventh IEEE Conference on Artificial Intelligence Applications",
   year = "1995"
}