Strategies for Distributing Goals in a Team of Cooperative Agents
This paper addresses the problem of distributing goals to individual agents inside a team of cooperative agents. It shows that several parameters determine the goals of particular agents. The first parameter is the set of goals allocated to the team; the second parameter is the description of the re...
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creator | Cholvy, Laurence Garion, Christophe |
description | This paper addresses the problem of distributing goals to individual agents inside a team of cooperative agents.
It shows that several parameters determine the goals of particular agents. The first parameter is the set of goals allocated to the team; the second parameter is the description of the real actual world; the third parameter is the description of the agents’ ability and commitments. The last parameter is the strategy the team agrees on: for each precise goal, the team may define several strategies which are orders between agents representing, for instance, their relative competence or their relative cost. This paper also shows how to combine strategies. The method used here assumes an order of priority between strategies. |
doi_str_mv | 10.1007/11423355_13 |
format | Conference Proceeding |
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It shows that several parameters determine the goals of particular agents. The first parameter is the set of goals allocated to the team; the second parameter is the description of the real actual world; the third parameter is the description of the agents’ ability and commitments. The last parameter is the strategy the team agrees on: for each precise goal, the team may define several strategies which are orders between agents representing, for instance, their relative competence or their relative cost. This paper also shows how to combine strategies. The method used here assumes an order of priority between strategies.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540273301</identifier><identifier>ISBN: 9783540273301</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540318873</identifier><identifier>EISBN: 3540318879</identifier><identifier>DOI: 10.1007/11423355_13</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Belief Base ; Computer science; control theory; systems ; Conditional Preference ; Cooperative Agent ; Exact sciences and technology ; Learning and adaptive systems ; MultiAgent System ; Selective Strategy</subject><ispartof>Engineering Societies in the Agents World V, 2005, p.178-190</ispartof><rights>Springer-Verlag Berlin Heidelberg 2005</rights><rights>2005 INIST-CNRS</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://link.springer.com/content/pdf/10.1007/11423355_13$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/11423355_13$$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=17027356$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Zambonelli, Franco</contributor><contributor>Gleizes, Marie-Pierre</contributor><contributor>Omicini, Andrea</contributor><creatorcontrib>Cholvy, Laurence</creatorcontrib><creatorcontrib>Garion, Christophe</creatorcontrib><title>Strategies for Distributing Goals in a Team of Cooperative Agents</title><title>Engineering Societies in the Agents World V</title><description>This paper addresses the problem of distributing goals to individual agents inside a team of cooperative agents.
It shows that several parameters determine the goals of particular agents. The first parameter is the set of goals allocated to the team; the second parameter is the description of the real actual world; the third parameter is the description of the agents’ ability and commitments. The last parameter is the strategy the team agrees on: for each precise goal, the team may define several strategies which are orders between agents representing, for instance, their relative competence or their relative cost. This paper also shows how to combine strategies. The method used here assumes an order of priority between strategies.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Belief Base</subject><subject>Computer science; control theory; systems</subject><subject>Conditional Preference</subject><subject>Cooperative Agent</subject><subject>Exact sciences and technology</subject><subject>Learning and adaptive systems</subject><subject>MultiAgent System</subject><subject>Selective Strategy</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540273301</isbn><isbn>9783540273301</isbn><isbn>9783540318873</isbn><isbn>3540318879</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkD9PwzAQxc0_iVI68QW8MDAEfD47TsaqhYJUiYEyW5fUjgxtHMUBiW9PqjJwyxve7z3pHmM3IO5BCPMAoCSi1hbwhM1KU6BWAqEoDJ6yCeQAGaIqz9jVwZAGUcA5mwgUMiuNwks2S-lDjIdgVFFM2Pxt6GlwTXCJ-9jzZUhDH6qvIbQNX0XaJR5aTnzjaM-j54sYOzcmwrfj88a1Q7pmF37E3OxPp-z96XGzeM7Wr6uXxXyddRLKISulIClBllsU3oOg2lTSaVUap4RxWouiRoKKCiSjXZ47Iqj9dptLKWsgnLLbY29Hqaad76mtQ7JdH_bU_1gwh391PnJ3Ry6NVtu43lYxfiYLwh42tP82xF9y4l0C</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Cholvy, Laurence</creator><creator>Garion, Christophe</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>Strategies for Distributing Goals in a Team of Cooperative Agents</title><author>Cholvy, Laurence ; Garion, Christophe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-920a22129d30ff10ac7b2e5497e407e5508c3a1ba83a75e66eaa1cfdd6222c1a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Belief Base</topic><topic>Computer science; control theory; systems</topic><topic>Conditional Preference</topic><topic>Cooperative Agent</topic><topic>Exact sciences and technology</topic><topic>Learning and adaptive systems</topic><topic>MultiAgent System</topic><topic>Selective Strategy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cholvy, Laurence</creatorcontrib><creatorcontrib>Garion, Christophe</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cholvy, Laurence</au><au>Garion, Christophe</au><au>Zambonelli, Franco</au><au>Gleizes, Marie-Pierre</au><au>Omicini, Andrea</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Strategies for Distributing Goals in a Team of Cooperative Agents</atitle><btitle>Engineering Societies in the Agents World V</btitle><date>2005</date><risdate>2005</risdate><spage>178</spage><epage>190</epage><pages>178-190</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540273301</isbn><isbn>9783540273301</isbn><eisbn>9783540318873</eisbn><eisbn>3540318879</eisbn><abstract>This paper addresses the problem of distributing goals to individual agents inside a team of cooperative agents.
It shows that several parameters determine the goals of particular agents. The first parameter is the set of goals allocated to the team; the second parameter is the description of the real actual world; the third parameter is the description of the agents’ ability and commitments. The last parameter is the strategy the team agrees on: for each precise goal, the team may define several strategies which are orders between agents representing, for instance, their relative competence or their relative cost. This paper also shows how to combine strategies. The method used here assumes an order of priority between strategies.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11423355_13</doi><tpages>13</tpages></addata></record> |
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ispartof | Engineering Societies in the Agents World V, 2005, p.178-190 |
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language | eng |
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source | Springer Books |
subjects | Applied sciences Artificial intelligence Belief Base Computer science control theory systems Conditional Preference Cooperative Agent Exact sciences and technology Learning and adaptive systems MultiAgent System Selective Strategy |
title | Strategies for Distributing Goals in a Team of Cooperative Agents |
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