Knowledge based simulation system--an application in controlled environment simulation system
| dc.contributor.advisor | Zeigler, Bernard P. | en_US |
| dc.contributor.author | Zhang, Guoging, 1963- | |
| dc.creator | Zhang, Guoging, 1963- | en_US |
| dc.date.accessioned | 2013-05-16T09:50:30Z | |
| dc.date.available | 2013-05-16T09:50:30Z | |
| dc.date.issued | 1988 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/292001 | |
| dc.description.abstract | This thesis systematically identifies the building blocks of a knowledge based system for simulation and modelling. We present the design and implementation of Controlled Environment Simulation System (CESS), which bridges a discrete event simulation system (DEVS-SCHEME) and a continuous simulation system (TRNSYS). The rationale behind the approach is that a discrete or a continuous model can be abstracted to a level at which the uniform treatment on these two kinds of models is possible. A top-down approach to model creation (abstraction) is proposed, in contrast to the traditional bottom-up approach. CESS is implemented on an object-oriented programming environment (SCOOPS on TI-SCHEME). A knowledge representation scheme known as System Entity Structure is employed for MODEL management, recording system structural knowledge, and the utilization of techniques in Artificial Intelligence. Some prospective research topics are also brought up. | |
| dc.language.iso | en_US | en_US |
| dc.publisher | The University of Arizona. | en_US |
| dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
| dc.subject | Expert systems (Computer science) -- Computer simulation. | en_US |
| dc.subject | Simulation methods. | en_US |
| dc.title | Knowledge based simulation system--an application in controlled environment simulation system | en_US |
| dc.type | text | en_US |
| dc.type | Thesis-Reproduction (electronic) | en_US |
| dc.identifier.oclc | 22204452 | en_US |
| thesis.degree.grantor | University of Arizona | en_US |
| thesis.degree.level | masters | en_US |
| dc.identifier.proquest | 1333437 | en_US |
| thesis.degree.discipline | Graduate College | en_US |
| thesis.degree.discipline | Electrical and Computer Engineering | en_US |
| thesis.degree.name | M.S. | en_US |
| dc.identifier.bibrecord | .b17375290 | en_US |
| refterms.dateFOA | 2018-06-25T13:17:48Z | |
| html.description.abstract | This thesis systematically identifies the building blocks of a knowledge based system for simulation and modelling. We present the design and implementation of Controlled Environment Simulation System (CESS), which bridges a discrete event simulation system (DEVS-SCHEME) and a continuous simulation system (TRNSYS). The rationale behind the approach is that a discrete or a continuous model can be abstracted to a level at which the uniform treatment on these two kinds of models is possible. A top-down approach to model creation (abstraction) is proposed, in contrast to the traditional bottom-up approach. CESS is implemented on an object-oriented programming environment (SCOOPS on TI-SCHEME). A knowledge representation scheme known as System Entity Structure is employed for MODEL management, recording system structural knowledge, and the utilization of techniques in Artificial Intelligence. Some prospective research topics are also brought up. |
