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Towards the application of artificial intelligence techniques for discrete event simulation

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Flitman, Andrew (1986) Towards the application of artificial intelligence techniques for discrete event simulation. PhD thesis, University of Warwick.

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Official URL: http://webcat.warwick.ac.uk/record=b1448605~S1

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Abstract

The possibility of incorporating Artificial
Intelligence (A.I) techniques into Visual Interactive
Discrete Event Simulation was examined. After a study
the current state of the art, work was undertaken to
investigate the usefulness of PROLOG as a simulation
language. This led to the development of a working
Simulation Engine, allowing simulations to be developed
quickly. The way PROLOG facilitated development of the
engine indicated a possible usefulness as a medium for
controlling external simulations.
Tests on the feasibility of this were made resulting in
the development of an assembler link which allows PROLOG to
remotely communicate with and control procedural language
programs resident on a separate microcomputer. Experiments
using this link were then made to test the application of
A.I. techniques to current visual simulations. Studies were
carried out on the controlling of the simulation, the
monitoring and learning from a simulation, the use of
simulation as a window to expert system performance, and on
the manipulation of the simulation.
This study represents a practical attempt to understand
and develop the possible uses of A.I. techniques within
visual interactive simulation.
The thesis concludes with a discussion of the
advantages attainable through such a merger of techniques,
followed by areas in which the research may be expanded.

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Library of Congress Subject Headings (LCSH): Artificial intelligence, Simulation methods, Prolog (Computer program language), Discrete-time systems
Official Date: September 1986
Dates:
DateEvent
September 1986Submitted
Institution: University of Warwick
Theses Department: School of Industrial and Business Studies
Thesis Type: PhD
Publication Status: Unpublished
Supervisor(s)/Advisor: Hurrion, R. D. (Robert D.)
Sponsors: Science and Engineering Research Council (Great Britain) (SERC)
Extent: xii, 237, [150] p.
Language: eng

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