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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: McLaughlan, B, Hexmoor, H
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