Proceedings

Handling Duration Uncertainty in Meta-Level Control of Progressive Processing

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Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Planning and Scheduling. Pages 1201-1206.

Abstract

Progressive processing is a resource-bounded reasoning technique that allows a system to incrementally construct a solution to a problem using a hierarchy of processing levels. This paper focuses on the problem of meta-level control of progressive processing in domains characterized by rapid change and high level of duration uncertain~y. We show that progressive processing facilitates efficient run-time monitoring and meta-level contro l. Our solution is based on an incremental scheduler that can handle duration uncertainty by dynamically revising the schedule during execution time based on run-time information. We also show that a probabilistic representation of duration uncertainty reduces the frequency of schedule revisions and thus improves the performance of the system. Finally, an experimenta l evaluation shows the contributions of this approach and its suitability for a data transmission app li cation.

Abdel-Illah Mouaddib, and Shlomo Zilberstein. 1997. Handling Duration Uncertainty in Meta-Level Control of Progressive Processing. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97. IJCAI, 1201–1206. https://ijcai.org/proceedings/1997/173
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