Influencing Massive Multi-agent Systems via Viral Trait Spreading
This paper describes a method by which a massive multi-agent system can be influenced without resorting to micromanagement. This method could be utilized in the development of meta-reasoning components of individual agents. Agents in the system adopt the traits of their successful peers. The adminis...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 292 |
---|---|
container_issue | |
container_start_page | 287 |
container_title | |
container_volume | |
creator | McLaughlan, B Hexmoor, H |
description | This paper describes a method by which a massive multi-agent system can be influenced without resorting to micromanagement. This method could be utilized in the development of meta-reasoning components of individual agents. Agents in the system adopt the traits of their successful peers. The administrator guides this spread of traits through selectively injecting influential agents with modified traits. These key agents are identified via social network analysis techniques. Experimentation is described in which the system is tested for its ability to automatically adopt an acceptable configuration as well as testing the ease in which the administrator is able to guide the system to a better configuration. |
doi_str_mv | 10.1109/SASOW.2010.59 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5729637</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5729637</ieee_id><sourcerecordid>5729637</sourcerecordid><originalsourceid>FETCH-LOGICAL-i1299-f375a0568c099e68205fb3f49c09d27190addd8cb585b3ea63144c3cac2b4d103</originalsourceid><addsrcrecordid>eNotjEtLw0AUhUdEUGqWrtzMH0id98xdluKj0NJFqi7LzcxNGUhDSdJC_71BXR2-83EOY09SzKUU8FItqu33XImJLdywAnwQ3oE1SoG5_WVplDHBBePvWTEMuRbKeRe0lg9sseqa9kxdzN2Bb3CyF-KbczvmEg_Ujby6DiMdB37JyL9yjy3f9Zin_tQTpmn1yO4abAcq_nPGPt9ed8uPcr19Xy0X6zJLBVA22lsU1oUoAMgFJWxT68bAxEl5CQJTSiHWNthaEzotjYk6YlS1SVLoGXv--81EtD_1-Yj9dW-9Aqe9_gEe60qm</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Influencing Massive Multi-agent Systems via Viral Trait Spreading</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>McLaughlan, B ; Hexmoor, H</creator><creatorcontrib>McLaughlan, B ; Hexmoor, H</creatorcontrib><description>This paper describes a method by which a massive multi-agent system can be influenced without resorting to micromanagement. This method could be utilized in the development of meta-reasoning components of individual agents. Agents in the system adopt the traits of their successful peers. The administrator guides this spread of traits through selectively injecting influential agents with modified traits. These key agents are identified via social network analysis techniques. Experimentation is described in which the system is tested for its ability to automatically adopt an acceptable configuration as well as testing the ease in which the administrator is able to guide the system to a better configuration.</description><identifier>ISBN: 9781424486847</identifier><identifier>ISBN: 142448684X</identifier><identifier>EISBN: 9780769542294</identifier><identifier>EISBN: 0769542298</identifier><identifier>DOI: 10.1109/SASOW.2010.59</identifier><language>eng</language><publisher>IEEE</publisher><subject>Asia ; Context ; Humans ; Indexes ; Mathematical model ; Multiagent systems ; Social network services</subject><ispartof>2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop, 2010, p.287-292</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5729637$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5729637$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>McLaughlan, B</creatorcontrib><creatorcontrib>Hexmoor, H</creatorcontrib><title>Influencing Massive Multi-agent Systems via Viral Trait Spreading</title><title>2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop</title><addtitle>sasow</addtitle><description>This paper describes a method by which a massive multi-agent system can be influenced without resorting to micromanagement. This method could be utilized in the development of meta-reasoning components of individual agents. Agents in the system adopt the traits of their successful peers. The administrator guides this spread of traits through selectively injecting influential agents with modified traits. These key agents are identified via social network analysis techniques. Experimentation is described in which the system is tested for its ability to automatically adopt an acceptable configuration as well as testing the ease in which the administrator is able to guide the system to a better configuration.</description><subject>Asia</subject><subject>Context</subject><subject>Humans</subject><subject>Indexes</subject><subject>Mathematical model</subject><subject>Multiagent systems</subject><subject>Social network services</subject><isbn>9781424486847</isbn><isbn>142448684X</isbn><isbn>9780769542294</isbn><isbn>0769542298</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjEtLw0AUhUdEUGqWrtzMH0id98xdluKj0NJFqi7LzcxNGUhDSdJC_71BXR2-83EOY09SzKUU8FItqu33XImJLdywAnwQ3oE1SoG5_WVplDHBBePvWTEMuRbKeRe0lg9sseqa9kxdzN2Bb3CyF-KbczvmEg_Ujby6DiMdB37JyL9yjy3f9Zin_tQTpmn1yO4abAcq_nPGPt9ed8uPcr19Xy0X6zJLBVA22lsU1oUoAMgFJWxT68bAxEl5CQJTSiHWNthaEzotjYk6YlS1SVLoGXv--81EtD_1-Yj9dW-9Aqe9_gEe60qm</recordid><startdate>201009</startdate><enddate>201009</enddate><creator>McLaughlan, B</creator><creator>Hexmoor, H</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201009</creationdate><title>Influencing Massive Multi-agent Systems via Viral Trait Spreading</title><author>McLaughlan, B ; Hexmoor, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1299-f375a0568c099e68205fb3f49c09d27190addd8cb585b3ea63144c3cac2b4d103</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Asia</topic><topic>Context</topic><topic>Humans</topic><topic>Indexes</topic><topic>Mathematical model</topic><topic>Multiagent systems</topic><topic>Social network services</topic><toplevel>online_resources</toplevel><creatorcontrib>McLaughlan, B</creatorcontrib><creatorcontrib>Hexmoor, H</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 Electronic Library (IEL)</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>McLaughlan, B</au><au>Hexmoor, H</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Influencing Massive Multi-agent Systems via Viral Trait Spreading</atitle><btitle>2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop</btitle><stitle>sasow</stitle><date>2010-09</date><risdate>2010</risdate><spage>287</spage><epage>292</epage><pages>287-292</pages><isbn>9781424486847</isbn><isbn>142448684X</isbn><eisbn>9780769542294</eisbn><eisbn>0769542298</eisbn><abstract>This paper describes a method by which a massive multi-agent system can be influenced without resorting to micromanagement. This method could be utilized in the development of meta-reasoning components of individual agents. Agents in the system adopt the traits of their successful peers. The administrator guides this spread of traits through selectively injecting influential agents with modified traits. These key agents are identified via social network analysis techniques. Experimentation is described in which the system is tested for its ability to automatically adopt an acceptable configuration as well as testing the ease in which the administrator is able to guide the system to a better configuration.</abstract><pub>IEEE</pub><doi>10.1109/SASOW.2010.59</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 9781424486847 |
ispartof | 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop, 2010, p.287-292 |
issn | |
language | eng |
recordid | cdi_ieee_primary_5729637 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Asia Context Humans Indexes Mathematical model Multiagent systems Social network services |
title | Influencing Massive Multi-agent Systems via Viral Trait Spreading |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T00%3A40%3A38IST&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=Influencing%20Massive%20Multi-agent%20Systems%20via%20Viral%20Trait%20Spreading&rft.btitle=2010%20Fourth%20IEEE%20International%20Conference%20on%20Self-Adaptive%20and%20Self-Organizing%20Systems%20Workshop&rft.au=McLaughlan,%20B&rft.date=2010-09&rft.spage=287&rft.epage=292&rft.pages=287-292&rft.isbn=9781424486847&rft.isbn_list=142448684X&rft_id=info:doi/10.1109/SASOW.2010.59&rft_dat=%3Cieee_6IE%3E5729637%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780769542294&rft.eisbn_list=0769542298&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5729637&rfr_iscdi=true |