Loading…
A Multi-Agent Based Information Locating Strategy with Rewards Evaluation
As the application of the large scale information network, the mount of the content in the network is increased sharply. This brings the challenge to the technology of searching and monitoring information content. In this article, it is introduced an information locating strategy, which is based on...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 942 |
container_issue | |
container_start_page | 937 |
container_title | |
container_volume | 2 |
creator | Danming Sun Shuping Yao Mingqian Sun |
description | As the application of the large scale information network, the mount of the content in the network is increased sharply. This brings the challenge to the technology of searching and monitoring information content. In this article, it is introduced an information locating strategy, which is based on multi-agent and can be distributed and work parallel. The concept of search-degree and search-rewards are introduced for the agents in the overall system can work simultaneously. The object of work is to search the numerous information nodes or Websites at a very fast speed and not needing occupying too much of network resources. At the same time, some most important information can be monitored for content management. The description and algorithm of the multi-agent information searching system structure and the strategy is given in this paper |
doi_str_mv | 10.1109/ISDA.2006.253738 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4021790</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4021790</ieee_id><sourcerecordid>4021790</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-aefc16dafc635653b30273c4da4db956985c377f6496690d2a31abddecbe2e293</originalsourceid><addsrcrecordid>eNo9jF1LwzAYhYMf4Jy7F7zJH-hM8uajuaxzaqEiOL0eafK2VrpW2mxj_96h4rk5D5yHQ8g1Z3POmb3NV_fZXDCm50KBgfSETATXMjFc8VNyyYy2SiiRpmf_g4QLMhvHT3YMWCWVnpA8o8_bNjZJVmMX6Z0bMdC8q_ph42LTd7To_RG6mq7i4CLWB7pv4gd9xb0bwkiXO9duf8wrcl65dsTZX0_J-8PybfGUFC-P-SIrkoYbFROHlec6uMprUFpBCUwY8DI4GUqrtE2VB2MqLa3WlgXhgLsyBPQlChQWpuTm97dBxPXX0GzccFhLJrixDL4BmU1Ong</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A Multi-Agent Based Information Locating Strategy with Rewards Evaluation</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Danming Sun ; Shuping Yao ; Mingqian Sun</creator><creatorcontrib>Danming Sun ; Shuping Yao ; Mingqian Sun</creatorcontrib><description>As the application of the large scale information network, the mount of the content in the network is increased sharply. This brings the challenge to the technology of searching and monitoring information content. In this article, it is introduced an information locating strategy, which is based on multi-agent and can be distributed and work parallel. The concept of search-degree and search-rewards are introduced for the agents in the overall system can work simultaneously. The object of work is to search the numerous information nodes or Websites at a very fast speed and not needing occupying too much of network resources. At the same time, some most important information can be monitored for content management. The description and algorithm of the multi-agent information searching system structure and the strategy is given in this paper</description><identifier>ISSN: 2164-7143</identifier><identifier>ISBN: 0769525288</identifier><identifier>ISBN: 9780769525280</identifier><identifier>EISSN: 2164-7151</identifier><identifier>DOI: 10.1109/ISDA.2006.253738</identifier><language>eng</language><publisher>IEEE</publisher><subject>Application software ; Computer networks ; Computerized monitoring ; Content management ; Costs ; Distributed computing ; Educational institutions ; Large-scale systems ; Learning ; Sun</subject><ispartof>Sixth International Conference on Intelligent Systems Design and Applications, 2006, Vol.2, p.937-942</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4021790$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4021790$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Danming Sun</creatorcontrib><creatorcontrib>Shuping Yao</creatorcontrib><creatorcontrib>Mingqian Sun</creatorcontrib><title>A Multi-Agent Based Information Locating Strategy with Rewards Evaluation</title><title>Sixth International Conference on Intelligent Systems Design and Applications</title><addtitle>ISDA</addtitle><description>As the application of the large scale information network, the mount of the content in the network is increased sharply. This brings the challenge to the technology of searching and monitoring information content. In this article, it is introduced an information locating strategy, which is based on multi-agent and can be distributed and work parallel. The concept of search-degree and search-rewards are introduced for the agents in the overall system can work simultaneously. The object of work is to search the numerous information nodes or Websites at a very fast speed and not needing occupying too much of network resources. At the same time, some most important information can be monitored for content management. The description and algorithm of the multi-agent information searching system structure and the strategy is given in this paper</description><subject>Application software</subject><subject>Computer networks</subject><subject>Computerized monitoring</subject><subject>Content management</subject><subject>Costs</subject><subject>Distributed computing</subject><subject>Educational institutions</subject><subject>Large-scale systems</subject><subject>Learning</subject><subject>Sun</subject><issn>2164-7143</issn><issn>2164-7151</issn><isbn>0769525288</isbn><isbn>9780769525280</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9jF1LwzAYhYMf4Jy7F7zJH-hM8uajuaxzaqEiOL0eafK2VrpW2mxj_96h4rk5D5yHQ8g1Z3POmb3NV_fZXDCm50KBgfSETATXMjFc8VNyyYy2SiiRpmf_g4QLMhvHT3YMWCWVnpA8o8_bNjZJVmMX6Z0bMdC8q_ph42LTd7To_RG6mq7i4CLWB7pv4gd9xb0bwkiXO9duf8wrcl65dsTZX0_J-8PybfGUFC-P-SIrkoYbFROHlec6uMprUFpBCUwY8DI4GUqrtE2VB2MqLa3WlgXhgLsyBPQlChQWpuTm97dBxPXX0GzccFhLJrixDL4BmU1Ong</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Danming Sun</creator><creator>Shuping Yao</creator><creator>Mingqian Sun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200610</creationdate><title>A Multi-Agent Based Information Locating Strategy with Rewards Evaluation</title><author>Danming Sun ; Shuping Yao ; Mingqian Sun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-aefc16dafc635653b30273c4da4db956985c377f6496690d2a31abddecbe2e293</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Application software</topic><topic>Computer networks</topic><topic>Computerized monitoring</topic><topic>Content management</topic><topic>Costs</topic><topic>Distributed computing</topic><topic>Educational institutions</topic><topic>Large-scale systems</topic><topic>Learning</topic><topic>Sun</topic><toplevel>online_resources</toplevel><creatorcontrib>Danming Sun</creatorcontrib><creatorcontrib>Shuping Yao</creatorcontrib><creatorcontrib>Mingqian Sun</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Danming Sun</au><au>Shuping Yao</au><au>Mingqian Sun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Multi-Agent Based Information Locating Strategy with Rewards Evaluation</atitle><btitle>Sixth International Conference on Intelligent Systems Design and Applications</btitle><stitle>ISDA</stitle><date>2006-10</date><risdate>2006</risdate><volume>2</volume><spage>937</spage><epage>942</epage><pages>937-942</pages><issn>2164-7143</issn><eissn>2164-7151</eissn><isbn>0769525288</isbn><isbn>9780769525280</isbn><abstract>As the application of the large scale information network, the mount of the content in the network is increased sharply. This brings the challenge to the technology of searching and monitoring information content. In this article, it is introduced an information locating strategy, which is based on multi-agent and can be distributed and work parallel. The concept of search-degree and search-rewards are introduced for the agents in the overall system can work simultaneously. The object of work is to search the numerous information nodes or Websites at a very fast speed and not needing occupying too much of network resources. At the same time, some most important information can be monitored for content management. The description and algorithm of the multi-agent information searching system structure and the strategy is given in this paper</abstract><pub>IEEE</pub><doi>10.1109/ISDA.2006.253738</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2164-7143 |
ispartof | Sixth International Conference on Intelligent Systems Design and Applications, 2006, Vol.2, p.937-942 |
issn | 2164-7143 2164-7151 |
language | eng |
recordid | cdi_ieee_primary_4021790 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Application software Computer networks Computerized monitoring Content management Costs Distributed computing Educational institutions Large-scale systems Learning Sun |
title | A Multi-Agent Based Information Locating Strategy with Rewards Evaluation |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T08%3A14%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20Multi-Agent%20Based%20Information%20Locating%20Strategy%20with%20Rewards%20Evaluation&rft.btitle=Sixth%20International%20Conference%20on%20Intelligent%20Systems%20Design%20and%20Applications&rft.au=Danming%20Sun&rft.date=2006-10&rft.volume=2&rft.spage=937&rft.epage=942&rft.pages=937-942&rft.issn=2164-7143&rft.eissn=2164-7151&rft.isbn=0769525288&rft.isbn_list=9780769525280&rft_id=info:doi/10.1109/ISDA.2006.253738&rft_dat=%3Cieee_6IE%3E4021790%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-aefc16dafc635653b30273c4da4db956985c377f6496690d2a31abddecbe2e293%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4021790&rfr_iscdi=true |