Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.645362
Title: Semantic modelling for discrete event simulation
Author: Barakat, Mamdouh Taysir
Awarding Body: London School of Economics and Political Science (University of London)
Current Institution: London School of Economics and Political Science (University of London)
Date of Award: 1992
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Abstract:
Discrete event simulation modelling has been established as an important tool for management planning. This process has been aided by the availability of off-the-shelf simulation systems for microcomputers. Traditionally these have had text-based interfaces and very limited graphics. As the availability of powerful colour microcomputers have increased, graphical front-ends have been added. As clients have got used to consistent graphical interfaces (e.g. Apple Macintosh or Microsoft Windows), they have desired the same level of integration in their simulation support environments. Research in other fields has been utilised in improving simulation environments. These fields include relational databases, expert systems, formal languages and graphical environments. This thesis examines the use of artificial intelligence in the discrete event simulation field with the aim of examining some potential areas in which it might be possible to improve simulation environments. Existing simulation research in the artificial intelligence (AI) field is extended by investigating the graphical AI knowledge-base called semantic networks. This thesis demonstrates semantic modelling, a discrete event simulation modelling approach based on semantic networks, which attempts to give a consistent graphical interface throughout the life cycle of a simulation study. The semantic modelling approach also incorporates expert system and natural language research. A prototype system of this approach is described.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.645362  DOI: Not available
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