Utility-Based Role Exchange
In this paper, we examine role exchange in multiagenty. After defining the utility that reflects an agent’s orientation toward role exchange, I.e., Role Exchange Value (REV) and the agent’s Individual Utility Gain (IUG), we present two theorems and two corollaries that capture properties of proposed...
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creator | Zhang, Xin Hexmoor, Henry |
description | In this paper, we examine role exchange in multiagenty. After defining the utility that reflects an agent’s orientation toward role exchange, I.e., Role Exchange Value (REV) and the agent’s Individual Utility Gain (IUG), we present two theorems and two corollaries that capture properties of proposed utility-based role exchange. Then, we provide an algorithm that predicts IUG for each agent in role exchange. The algorithm is implemented and the results are discussed. |
doi_str_mv | 10.1007/3-540-45941-3_35 |
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After defining the utility that reflects an agent’s orientation toward role exchange, I.e., Role Exchange Value (REV) and the agent’s Individual Utility Gain (IUG), we present two theorems and two corollaries that capture properties of proposed utility-based role exchange. Then, we provide an algorithm that predicts IUG for each agent in role exchange. The algorithm is implemented and the results are discussed.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540433705</identifier><identifier>ISBN: 3540433708</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540459415</identifier><identifier>EISBN: 3540459413</identifier><identifier>DOI: 10.1007/3-540-45941-3_35</identifier><identifier>OCLC: 958521453</identifier><identifier>LCCallNum: Q334-342</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Agent Pair ; Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; Learning and adaptive systems ; Multiagent System ; Mutual Gain ; Total Utility ; Utility Gain</subject><ispartof>From Theory to Practice in Multi-Agent Systems, 2002, Vol.2296, p.332-340</ispartof><rights>Springer-Verlag Berlin Heidelberg 2002</rights><rights>2002 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/3073093-l.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/3-540-45941-3_35$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/3-540-45941-3_35$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,779,780,784,789,790,793,4050,4051,27925,38255,41442,42511</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14054437$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Dunin-Keplicz, Barbara</contributor><contributor>Nawarecki, Edward</contributor><contributor>Dunin-Keplicz, Barbara</contributor><contributor>Nawarecki, Edward</contributor><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Hexmoor, Henry</creatorcontrib><title>Utility-Based Role Exchange</title><title>From Theory to Practice in Multi-Agent Systems</title><description>In this paper, we examine role exchange in multiagenty. After defining the utility that reflects an agent’s orientation toward role exchange, I.e., Role Exchange Value (REV) and the agent’s Individual Utility Gain (IUG), we present two theorems and two corollaries that capture properties of proposed utility-based role exchange. Then, we provide an algorithm that predicts IUG for each agent in role exchange. The algorithm is implemented and the results are discussed.</description><subject>Agent Pair</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Learning and adaptive systems</subject><subject>Multiagent System</subject><subject>Mutual Gain</subject><subject>Total Utility</subject><subject>Utility Gain</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540433705</isbn><isbn>3540433708</isbn><isbn>9783540459415</isbn><isbn>3540459413</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2002</creationdate><recordtype>book_chapter</recordtype><recordid>eNpFUElLAzEUjisOtXfBSy8eU5O8rEctblAQxJ5Dmkl0dOyMyQj235su4Ls8-Dbe-xC6oGRKCVHXgAUnmAvDKQYL4gCNjdJQwC0mDlFFJS0ccHP0zwEoIo5RRYAwbBSHU1QZoQWjXMAZGuf8QcoAA2C0QpeLoWmbYY1vXQ715KVrw-Tu17-71Vs4RyfRtTmM93uEFvd3r7NHPH9-eJrdzHHPpB6wVsAFiZTWhrioFNNKKCOYNC7UxmivZF1zGbkK3HuQPoR6GaN0hgZNhYcRutrl9i5718bkVr7Jtk_Nl0trSzkRnIMquulOlwtV7kt22XWf2VJiN41ZsKUAu23HbhorBtgHp-77J-TBho3Dh9WQXFue7IeQsgWigBiwxQwg4Q_pDWXr</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Zhang, Xin</creator><creator>Hexmoor, Henry</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2002</creationdate><title>Utility-Based Role Exchange</title><author>Zhang, Xin ; Hexmoor, Henry</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p268t-873450f11d90af772875795269aed998c76dd46f47e4cc36ceedbff6a91e815c3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Agent Pair</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Learning and adaptive systems</topic><topic>Multiagent System</topic><topic>Mutual Gain</topic><topic>Total Utility</topic><topic>Utility Gain</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Hexmoor, Henry</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Xin</au><au>Hexmoor, Henry</au><au>Dunin-Keplicz, Barbara</au><au>Nawarecki, Edward</au><au>Dunin-Keplicz, Barbara</au><au>Nawarecki, Edward</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Utility-Based Role Exchange</atitle><btitle>From Theory to Practice in Multi-Agent Systems</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2002</date><risdate>2002</risdate><volume>2296</volume><spage>332</spage><epage>340</epage><pages>332-340</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540433705</isbn><isbn>3540433708</isbn><eisbn>9783540459415</eisbn><eisbn>3540459413</eisbn><abstract>In this paper, we examine role exchange in multiagenty. After defining the utility that reflects an agent’s orientation toward role exchange, I.e., Role Exchange Value (REV) and the agent’s Individual Utility Gain (IUG), we present two theorems and two corollaries that capture properties of proposed utility-based role exchange. Then, we provide an algorithm that predicts IUG for each agent in role exchange. The algorithm is implemented and the results are discussed.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/3-540-45941-3_35</doi><oclcid>958521453</oclcid><tpages>9</tpages></addata></record> |
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ispartof | From Theory to Practice in Multi-Agent Systems, 2002, Vol.2296, p.332-340 |
issn | 0302-9743 1611-3349 |
language | eng |
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source | Springer Books |
subjects | Agent Pair Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Learning and adaptive systems Multiagent System Mutual Gain Total Utility Utility Gain |
title | Utility-Based Role Exchange |
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