DocumentCode
895101
Title
Artificial intelligence aids in discrete-event digital simulation modelling
Author
Paul, R.J. ; Doukidis, G.I.
Author_Institution
London School of Economics and Political Science, Department of Statistical & Mathematical Sciences, London, UK
Volume
134
Issue
4
fYear
1987
fDate
7/1/1987 12:00:00 AM
Firstpage
278
Lastpage
286
Abstract
Discrete-event digital simulation modelling is an important and increasingly used technique for analysing and solving complex problems in business, industry and the public service. Computer-aided systems are under development to improve the efficiency of what is currently an expensive time-consuming process. In particular, problem formulation is slow and inexact, an art which improves with experience. Artificial-intelligence aids have been developed to help the analyst in collaboration with the decision maker to solve the problem. The first attempts were based on expert systems. Limitations with these systems led to the development of a natural language understanding system. The way in which the natural language understanding system undertakes the task of aiding problem formulation is described, as well as the structure of the system itself. The role that such a system plays in the overall modelling process is described, with emphasis on limitations of the current system and how these might be overcome in future developments.
Keywords
artificial intelligence; digital simulation; discrete systems; expert systems; natural languages; artificial intelligence; discrete-event digital simulation modelling; expert systems; limitations; natural language understanding system; problem solving;
fLanguage
English
Journal_Title
Control Theory and Applications, IEE Proceedings D
Publisher
iet
ISSN
0143-7054
Type
jour
DOI
10.1049/ip-d.1987.0046
Filename
4642444
Link To Document