Author: Mouaddib A-I.

Source: Journal of Experimental & Theoretical Artificial Intelligence, Volume 12, Number 1, 1 January 2000 , pp. 101-122(22)

Publisher: Taylor and Francis Ltd

Abstract:

Controlling resource-bounded systems not only involves taking decisions about planning and scheduling reasoning components to achieve time-constrained goals, but also about how to monitor the progress of these components. We propose an extended closed-loop planning, scheduling and execution. This extended closed-loop allows one to address the following limitations: (1) dynamic and time-constrained environments, (2) uncertainty regarding the duration of reasoning components and (3) tolerance to execution failure. The interactions in the extended closed-loop allow one: first to revise the current schedule when deviations from a predetermined schedule occur during execution, second to update continuously the set of goals on which the control focuses its decision and third how this set of goals is updated when an execution failure occurs. We discuss these issues in a progressive reasoning system implemented and applied to a railway control application where real-time (dynamic and time-constrained) situations occur.

Keywords: PROGRESSIVE; PROCESSING; INCERTAIN; AND; VARIABLE; RESOURCE; DYNAMIC; SYSTEMS

Language: English

Document Type: Research article

Publication date: 2000-01-01

More about this publication?

• Editorial Board
• Information for Authors
• Subscribe to this Title
• ingentaconnect is not responsible for the content or availability of external websites

Related content

• In this: publication
• By this: publisher
• In this Subject: Computer Science
• By this author: Mouaddib A-I.

Website © Publishing Technology. Article copyright remains with the publisher, society or author(s) as specified within the article.

• Terms and conditions
• Privacy policy
• Information for advertisers