Knowledge-based model construction : an automatic programming approach to simulation modeling /

Bibliographic Details
Main Author: Murray, Karen Jean Burns, 1955-
Other Authors: Colunga, Daniel (degree committee member.), Friesen, Donald K. (degree committee member.), Myers, Lewis A. (degree committee member.)
Format: Thesis Book
Language:English
Published: 1986.
Subjects:
Online Access:Link to ProQuest copy
Link to OAKTrust copy

MARC

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099 |a 1986  |a Disser-  |a tation  |a M982 
100 1 |a Murray, Karen Jean Burns,  |d 1955- 
245 1 0 |a Knowledge-based model construction :  |b an automatic programming approach to simulation modeling / 
264 1 |c 1986. 
300 |a xii, 137 leaves :  |b illustrations ;  |c 29 cm 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
500 |a "Major subject: Computer Science." 
500 |a Typescript (photocopy). 
500 |a Vita. 
502 |b Ph. D.  |c Texas A & M University  |d 1986 
504 |a Includes bibliographical references (leaves 107-117). 
520 3 |a A knowledge-based model construction (KBMC) system has been developed to allow the automatic construction of complete discrete simulation models for queueing systems. While this work focuses on the domain of simulation modeling, it closely parallels software engineering research toward an automated software production paradigm, and in particular, automatic programming research. This knowledge-based approach to automatic programming facilitates automation of the specification acquisition process in conjunction with automatic simulation model construction. Three types of knowledge are used in the specification and construction of a simulation model: domain knowledge, in this case, queueing system knowledge; general simulation modeling knowledge; and target language knowledge, specifically knowledge of the simulation language SIMAN. This knowledge has been incorporated into the underlying rule base of the KBMC system and implemented via the production system paradigm of OPS83. In general, domain knowledge and modeling knowledge were combined to form extraction rules, and modeling and target language knowledge form construction rules. The extraction rules guide an interactive session with the user and allow the acquisition of a complete internal model specification (IMS) of the desired model via structured dialog and menu selection. In effect, the user describes what the model is to do in response to queries driven by the extraction rules. Construction rules transform the internal model specification into a basic simulation model, then into constructs of the target language SIMAN to produce an executable simulation model that meets the specification requirements. The KBMC system is fully operational for a restricted subset of queueing system problems. A complete sample case scenario, including the specification extraction dialog, the resulting IMS, and an overview of model construction, is presented. The model constructed by the KBMC system and output from model execution are included for the sample case and five additional cases. An analysis of the current implementation is provided, as are suggestions for future work. This research represents a consolidation of automatic programming with a current expert system building tool for the domain of simulation modeling. The KBMC system has demonstrated the feasibility and utility of the knowledge-based approach to enable a user who lacks simulation language expertise to quickly build executable models. 
650 0 |a Artificial intelligence. 
650 0 |a Automatic programming (Computer science) 
650 0 |a Digital computer simulation. 
650 0 |a Expert systems (Computer science) 
650 4 |a Major computer science. 
655 7 |a Academic theses  |2 lcgft 
700 1 |a Colunga, Daniel,  |e degree committee member. 
700 1 |a Friesen, Donald K.,  |e degree committee member. 
700 1 |a Myers, Lewis A.,  |e degree committee member. 
700 1 |a Sheppard, Sallie V.,  |e degree supervisor. 
710 2 |a Texas A & M University,  |e degree granting institution. 
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856 4 1 |u https://hdl.handle.net/1969.1/DISSERTATIONS-20668  |z Link to OAKTrust copy  |t 0 
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