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    Introduction to Expert Systems for Land Information Systems

    Source: Journal of Surveying Engineering:;1986:;Volume ( 112 ):;issue: 002
    Author:
    Vincent B. Robinson
    ,
    Andrew U. Frank
    ,
    Matthew A. Blaze
    DOI: 10.1061/(ASCE)0733-9453(1986)112:2(109)
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces the surveying engineer to expert systems. Expert systems are computer systems that advise on or help solve real‐world problems requiring an expert's interpretation. They approach real‐world problems using a computer model of expert human reasoning. Facts and rules are part of what is known as the knowledge base. These can be represented using first‐order predicate logic, semantic nets, and frames. Exploitation of the knowledge base is controlled by the strategies of state space search and the use of pattern matching programs. Construction of expert systems is an expensive affair where knowledge acquisition plays a critical role. One of the major limitations in building expert systems is our current lack of understanding of expert human decision‐making. However, such systems provide a powerful vehicle for furthering our understanding of those processes and applying that understanding to the solving of engineering problems.
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      Introduction to Expert Systems for Land Information Systems

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    https://yetl.yabesh.ir/yetl1/handle/yetl/35524
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    contributor authorVincent B. Robinson
    contributor authorAndrew U. Frank
    contributor authorMatthew A. Blaze
    date accessioned2017-05-08T21:01:02Z
    date available2017-05-08T21:01:02Z
    date copyrightOctober 1986
    date issued1986
    identifier other%28asce%290733-9453%281986%29112%3A2%28109%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/35524
    description abstractThis paper introduces the surveying engineer to expert systems. Expert systems are computer systems that advise on or help solve real‐world problems requiring an expert's interpretation. They approach real‐world problems using a computer model of expert human reasoning. Facts and rules are part of what is known as the knowledge base. These can be represented using first‐order predicate logic, semantic nets, and frames. Exploitation of the knowledge base is controlled by the strategies of state space search and the use of pattern matching programs. Construction of expert systems is an expensive affair where knowledge acquisition plays a critical role. One of the major limitations in building expert systems is our current lack of understanding of expert human decision‐making. However, such systems provide a powerful vehicle for furthering our understanding of those processes and applying that understanding to the solving of engineering problems.
    publisherAmerican Society of Civil Engineers
    titleIntroduction to Expert Systems for Land Information Systems
    typeJournal Paper
    journal volume112
    journal issue2
    journal titleJournal of Surveying Engineering
    identifier doi10.1061/(ASCE)0733-9453(1986)112:2(109)
    treeJournal of Surveying Engineering:;1986:;Volume ( 112 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian