Publication - Reasoning about Uncertainty in Design-to-Criteria Scheduling

Authors:	Raja, Anita, Wagner, Thomas and Lesser, Victor
Title:	Reasoning about Uncertainty in Design-to-Criteria Scheduling
Abstract:	The Design-to-Criteria scheduler is a domain independent system that schedules complex AI problem solving tasks to meet real time performance goals. In this paper, we further extend the scheduler to more effectively deal with uncertainty present in a schedule which can be critical in hard deadline or hard cost situations. This is based on an analysis of available schedules that can be used to recover from a situation in which partially executed schedules cannot be completed successfully. In addition to evaluating schedules effectively from the uncertainty perspective, we also implement method reordering techniques to minimize uncertainty.
Keywords:	Contingency, DTC, Uncertainty
Publication:	Proceedings of AAAI 2000 Spring Symposium on Real-Time Autonomous Systems, pp. 76 - 83
Location:	Stanford, CA
Publisher:	AAAI
Date:	March 2000
Sources:	PS: /Documents/araja/contin.ps PDF: /Documents/contin.pdf
Reference:	Raja, Anita, Wagner, Thomas and Lesser, Victor. Reasoning about Uncertainty in Design-to-Criteria Scheduling. Proceedings of AAAI 2000 Spring Symposium on Real-Time Autonomous Systems, AAAI, pp. 76-83. March 2000.
`bibtex`:	@article{Raja-184, author = "Anita Raja and Thomas Wagner and Victor Lesser", title = "{Reasoning about Uncertainty in Design-to-Criteria Scheduling}", journal = "Proceedings of AAAI 2000 Spring Symposium on Real-Time Autonomous Systems", publisher = "AAAI", pages = "76-83", month = "March", year = "2000", address = "Stanford, CA", url = "http://mas.cs.umass.edu/paper/184", }