Loading…
Knowledge systems: An introduction
Because much human knowledge consists of elementary fragments of know-how, applying a significant amount of knowledge requires new ways to organize decision-making fragments into competent wholes. Knowledge systems collect these fragments in a knowledge base and then access the knowledge base to rea...
Saved in:
Published in: | Library hi tech 1992-01, Vol.10 (1/2), p.15-32 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 32 |
container_issue | 1/2 |
container_start_page | 15 |
container_title | Library hi tech |
container_volume | 10 |
creator | Hayes-Roth, Frederick |
description | Because much human knowledge consists of elementary fragments of know-how, applying a significant amount of knowledge requires new ways to organize decision-making fragments into competent wholes. Knowledge systems collect these fragments in a knowledge base and then access the knowledge base to reason about each specific problem. As a consequence, knowledge systems differ from conventional programs in the way they're organized, the way they incorporate knowledge, the way they execute, and the impression they create through their interactions. Knowledge systems simulate expert human performance, and they present a humanlike facade to the user. |
doi_str_mv | 10.1108/eb047840 |
format | article |
fullrecord | <record><control><sourceid>proquest_istex</sourceid><recordid>TN_cdi_proquest_miscellaneous_57083390</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>57083390</sourcerecordid><originalsourceid>FETCH-LOGICAL-c230t-cfa2abc7d41fa21876371bccd5597e8bca25a26c6032ca91882bb511a3be3b7b3</originalsourceid><addsrcrecordid>eNpt0E1PwzAMBuAIgUQZSPyECiTgUnCSpsm4jYkvMYnLYLtFSZqiQj-2pBPs3xNUtguc7MNjW34ROsZwiTGIK6sh5SKFHRQRYGmCs2y-iyLglCdCULyPDrx_BwBGOInQyVPTflY2f7OxX_vO1v46HjVx2XSuzVemK9vmEO0VqvL26LcO0Mvd7XT8kEye7x_Ho0liCIUuMYUiShuepzh0WPCMcqyNyRkbciu0UYQpkpkMKDFqiIUgWjOMFdWWaq7pAJ31exeuXa6s72RdemOrSjW2XXnJOAhKhxDgRQ-Na713tpALV9bKrSUG-ROC3IQQaNLTMvz2tXXKfcgsJMJkOiNyeoNf6XwGchr8ae9tbZ2q8u3EZqNc5EVQ5_-rP_e_AU51dco</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>57083390</pqid></control><display><type>article</type><title>Knowledge systems: An introduction</title><source>Emerald backfiles</source><source>Library & Information Science Abstracts (LISA)</source><creator>Hayes-Roth, Frederick</creator><creatorcontrib>Hayes-Roth, Frederick</creatorcontrib><description>Because much human knowledge consists of elementary fragments of know-how, applying a significant amount of knowledge requires new ways to organize decision-making fragments into competent wholes. Knowledge systems collect these fragments in a knowledge base and then access the knowledge base to reason about each specific problem. As a consequence, knowledge systems differ from conventional programs in the way they're organized, the way they incorporate knowledge, the way they execute, and the impression they create through their interactions. Knowledge systems simulate expert human performance, and they present a humanlike facade to the user.</description><identifier>ISSN: 0737-8831</identifier><identifier>EISSN: 2054-166X</identifier><identifier>DOI: 10.1108/eb047840</identifier><language>eng</language><publisher>MCB UP Ltd</publisher><subject>Computers ; Expert systems ; Knowledge based systems</subject><ispartof>Library hi tech, 1992-01, Vol.10 (1/2), p.15-32</ispartof><rights>MCB UP Limited</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/eb047840/full/pdf$$EPDF$$P50$$Gemerald$$H</linktopdf><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/eb047840/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>315,786,790,2382,27957,27958,34171,53246,53374</link.rule.ids></links><search><creatorcontrib>Hayes-Roth, Frederick</creatorcontrib><title>Knowledge systems: An introduction</title><title>Library hi tech</title><description>Because much human knowledge consists of elementary fragments of know-how, applying a significant amount of knowledge requires new ways to organize decision-making fragments into competent wholes. Knowledge systems collect these fragments in a knowledge base and then access the knowledge base to reason about each specific problem. As a consequence, knowledge systems differ from conventional programs in the way they're organized, the way they incorporate knowledge, the way they execute, and the impression they create through their interactions. Knowledge systems simulate expert human performance, and they present a humanlike facade to the user.</description><subject>Computers</subject><subject>Expert systems</subject><subject>Knowledge based systems</subject><issn>0737-8831</issn><issn>2054-166X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1992</creationdate><recordtype>article</recordtype><sourceid>F2A</sourceid><recordid>eNpt0E1PwzAMBuAIgUQZSPyECiTgUnCSpsm4jYkvMYnLYLtFSZqiQj-2pBPs3xNUtguc7MNjW34ROsZwiTGIK6sh5SKFHRQRYGmCs2y-iyLglCdCULyPDrx_BwBGOInQyVPTflY2f7OxX_vO1v46HjVx2XSuzVemK9vmEO0VqvL26LcO0Mvd7XT8kEye7x_Ho0liCIUuMYUiShuepzh0WPCMcqyNyRkbciu0UYQpkpkMKDFqiIUgWjOMFdWWaq7pAJ31exeuXa6s72RdemOrSjW2XXnJOAhKhxDgRQ-Na713tpALV9bKrSUG-ROC3IQQaNLTMvz2tXXKfcgsJMJkOiNyeoNf6XwGchr8ae9tbZ2q8u3EZqNc5EVQ5_-rP_e_AU51dco</recordid><startdate>19920101</startdate><enddate>19920101</enddate><creator>Hayes-Roth, Frederick</creator><general>MCB UP Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>E3H</scope><scope>F2A</scope></search><sort><creationdate>19920101</creationdate><title>Knowledge systems: An introduction</title><author>Hayes-Roth, Frederick</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c230t-cfa2abc7d41fa21876371bccd5597e8bca25a26c6032ca91882bb511a3be3b7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Computers</topic><topic>Expert systems</topic><topic>Knowledge based systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hayes-Roth, Frederick</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><jtitle>Library hi tech</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hayes-Roth, Frederick</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Knowledge systems: An introduction</atitle><jtitle>Library hi tech</jtitle><date>1992-01-01</date><risdate>1992</risdate><volume>10</volume><issue>1/2</issue><spage>15</spage><epage>32</epage><pages>15-32</pages><issn>0737-8831</issn><eissn>2054-166X</eissn><notes>ark:/67375/4W2-TB1V3XW0-T</notes><notes>original-pdf:2380100102.pdf</notes><notes>href:eb047840.pdf</notes><notes>istex:5BD5369B83DEE76E8D42610027F74972154674DE</notes><notes>filenameID:2380100102</notes><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Because much human knowledge consists of elementary fragments of know-how, applying a significant amount of knowledge requires new ways to organize decision-making fragments into competent wholes. Knowledge systems collect these fragments in a knowledge base and then access the knowledge base to reason about each specific problem. As a consequence, knowledge systems differ from conventional programs in the way they're organized, the way they incorporate knowledge, the way they execute, and the impression they create through their interactions. Knowledge systems simulate expert human performance, and they present a humanlike facade to the user.</abstract><pub>MCB UP Ltd</pub><doi>10.1108/eb047840</doi><tpages>18</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0737-8831 |
ispartof | Library hi tech, 1992-01, Vol.10 (1/2), p.15-32 |
issn | 0737-8831 2054-166X |
language | eng |
recordid | cdi_proquest_miscellaneous_57083390 |
source | Emerald backfiles; Library & Information Science Abstracts (LISA) |
subjects | Computers Expert systems Knowledge based systems |
title | Knowledge systems: An introduction |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T19%3A11%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_istex&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Knowledge%20systems:%20An%20introduction&rft.jtitle=Library%20hi%20tech&rft.au=Hayes-Roth,%20Frederick&rft.date=1992-01-01&rft.volume=10&rft.issue=1/2&rft.spage=15&rft.epage=32&rft.pages=15-32&rft.issn=0737-8831&rft.eissn=2054-166X&rft_id=info:doi/10.1108/eb047840&rft_dat=%3Cproquest_istex%3E57083390%3C/proquest_istex%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c230t-cfa2abc7d41fa21876371bccd5597e8bca25a26c6032ca91882bb511a3be3b7b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=57083390&rft_id=info:pmid/&rfr_iscdi=true |