• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    A hierarchical modelling and simulation environment for AI multicomputer design.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    azu_td_9100553_sip1_c.pdf
    Size:
    5.478Mb
    Format:
    PDF
    Download
    Author
    Lee, Chilgee.
    Issue Date
    1990
    Keywords
    Computer science.
    Advisor
    Zeigler, Bernard P.
    
    Metadata
    Show full item record
    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)
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Electrical and Computer Engineering
    Graduate College
    Degree Grantor
    University of Arizona
    Collections
    Dissertations

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.