Knight, Brian and Ma, Jixin (1997) Temporal management using relative time in knowledge-based process control. Engineering Applications of Artificial Intelligence, 10 (3). pp. 269-280. ISSN 0952-1976 (doi:https://doi.org/10.1016/S0952-1976(97)00003-1)

Full text not available from this repository.

Abstract

In this paper, a knowledge-based approach is proposed for the management of temporal information in process control. A common-sense theory of temporal constraints over processes/events, allowing relative temporal knowledge, is employed here as the temporal basis for the system. This theory supports duration reasoning and consistency checking, and accepts relative temporal knowledge which is in a form normally used by human operators. An architecture for process control is proposed which centres on an historical database consisting of events and processes, together with the qualitative temporal relationships between their occurrences. The dynamics of the system is expressed by means of three types of rule: database updating rules, process control rules, and data deletion rules. An example is provided in the form of a life scheduler, to illustrate the database and the rule sets. The example demonstrates the transitions of the database over time, and identifies the procedure in terms of a state transition model for the application. The dividing instant problem for logical inference is discussed with reference to this process control example, and it is shown how the temporal theory employed can be used to deal with the problem.

Item Type:	Article
Additional Information:	[1] Engineering Applications of Artificial Intelligence is the International Journal of Intelligent Real-Time Automation, a journal of IFAC, the International Federation of Automatic Control. [2] CMS Ref. No: 97/51.
Uncontrolled Keywords:	processes/events, knowledge-based systems, relative time, temporal databases
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Science
Related URLs:	Publisher Organisation Organisation
Last Modified:	14 Oct 2016 08:59
URI:	http://gala.gre.ac.uk/id/eprint/93

Actions (login required)

View Item