A hierarchical modelling and simulation environment for AI multicomputer design.

Persistent Link:
http://hdl.handle.net/10150/185135
Title:
A hierarchical modelling and simulation environment for AI multicomputer design.
Author:
Lee, Chilgee.
Issue Date:
1990
Publisher:
The University of Arizona.
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.
Abstract:
The mainstream usage of computer applications is expanding from pure data processing to intelligence processing through information processing and knowledge processing. There is increasing demand for high performance computer systems to solve bigger and more complex AI problems. Simulation can offer an efficient means of investigating the enormous number of alternatives for existing or proposed computer architectures, thereby saving effort, time and cost. However, a model developed using the conventional simulation languages is non-modular, not-reusable, inflexible and provides no support for hierarchical decomposition of the system. To enable the hierarchical decomposition of systems and the development of modular, reusable models, object-oriented concepts are required. In this dissertation, an object-oriented modelling and simulation environment using the System Entity Structure (SES) and Discrete Event System Specification (DEVS) formalism is shown to be a powerful, knowledge-based environment for hierarchical modelling and simulation. This knowledge-based simulation environment provides a means for designing complex multiple processor systems. Modelling and simulating the Traveling Salesman Problem using DEVS-Scheme rule-based models with an inference engine and a set of rules is shown. Also centralized, distributed and multilevel control strategies for heuristic search by AI multiagent systems are modelled, simulated, and analyzed. The importance of high bandwidth, high connectivity communications, such as expected from optical devices, is demonstrated. Based on the experiments, a new multilevel computer architecture for artificial intelligence search applications is proposed.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Computer science.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Electrical and Computer Engineering; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Zeigler, Bernard P.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleA hierarchical modelling and simulation environment for AI multicomputer design.en_US
dc.creatorLee, Chilgee.en_US
dc.contributor.authorLee, Chilgee.en_US
dc.date.issued1990en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © 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.description.abstractThe mainstream usage of computer applications is expanding from pure data processing to intelligence processing through information processing and knowledge processing. There is increasing demand for high performance computer systems to solve bigger and more complex AI problems. Simulation can offer an efficient means of investigating the enormous number of alternatives for existing or proposed computer architectures, thereby saving effort, time and cost. However, a model developed using the conventional simulation languages is non-modular, not-reusable, inflexible and provides no support for hierarchical decomposition of the system. To enable the hierarchical decomposition of systems and the development of modular, reusable models, object-oriented concepts are required. In this dissertation, an object-oriented modelling and simulation environment using the System Entity Structure (SES) and Discrete Event System Specification (DEVS) formalism is shown to be a powerful, knowledge-based environment for hierarchical modelling and simulation. This knowledge-based simulation environment provides a means for designing complex multiple processor systems. Modelling and simulating the Traveling Salesman Problem using DEVS-Scheme rule-based models with an inference engine and a set of rules is shown. Also centralized, distributed and multilevel control strategies for heuristic search by AI multiagent systems are modelled, simulated, and analyzed. The importance of high bandwidth, high connectivity communications, such as expected from optical devices, is demonstrated. Based on the experiments, a new multilevel computer architecture for artificial intelligence search applications is proposed.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectComputer science.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorZeigler, Bernard P.en_US
dc.contributor.committeememberCellier, Francois E.en_US
dc.contributor.committeememberRozenblit, Jerzy W.en_US
dc.identifier.proquest9100553en_US
dc.identifier.oclc708653272en_US
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