Development of iterative real-time scheduler to planner feedback

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2, Issue , 1997, Pages 1267-1272

  McVey, Charles B ^a   Atkins, Ella M ^a   Durfee, Edmund H ^a   Shin, Kang G ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION PROBLEMS; EXECUTION PLATFORMS; INHERENT LIMITATIONS; REAL-TIME APPLICATION; REAL-TIME CONTROL ARCHITECTURE; REAL-TIME SCHEDULERS; RELAXATION METHODS; SCHEDULING PROBLEM;

ARTIFICIAL INTELLIGENCE; REAL TIME CONTROL; SCHEDULING;

ITERATIVE METHODS;

EID: 0041614029     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Ella M. Atkins, Edmund H. Durfee, and Kang G. Shin. Plan Development using Local Probabilistic Models. In Uncertainty in Artificial Intelligence: Proceedings of the Twelfth Conference, August 1996.
2. Ella M. Atkins, Edmund H. Durfee, and Kang G. Shin. Buying Time for Resource-Bounded Planning. To appear in AAAI-97 Workshop: Building Resource-Bounded Reasoning Systems Technical Report, July 1997.
3. C. L. Liu and James W. Layland. Scheduling Algorithms for Multiprogramming in a Haid-Real-Time Environment. In Hard Real-Time Systems. IEEE Press, pages 174-189, 1988.
4. Alan Garvey, Keith Decker, and Victor Lesser. A Negotiation-based Interface Between a Real-time Scheduler and a Decision-Maker. Technical Report 94-08, University of Massachusetts Department of Computer Science, March 1994.
5. David J. Musliner, Edmund H. Durfee, and Kang G. Shin. World Modeling for the Dynamic Construction of Real-Time Control Plans. Artificial Intelligence, vol. 74, pp. 83-127, 1995. American Association for Artificial Intelligence.
6. David J. Musliner. Scheduling Issues Arising from Automated Real-Time System Design. University of Maryland Department of Computer Science Technical Report CS-TR-3364, UMIACS-TR-94-118, January 1995.
7. Mark J. Stefik. Introduction to Knowledge Systems. Morgan Kaufmann, San Francisco, California, 1995.