Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
Identifieur interne : 001431 ( Istex/Corpus ); précédent : 001430; suivant : 001432Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
Auteurs : Gerben G. Meyer ; Nick B. SzirbikSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conflicts in the behavior of agents can make the execution of interactions more reliable. Such an alignment mechanism will reduce the necessary human intervention. This paper shows how to describe a policy for alignment, which an agent can apply when its behavior is in conflict with other agents. An extension of Petri Nets is used to capture the intended interaction of an agent in a formal way. Furthermore, a mechanism based on machine learning is implemented, to enable an agent to choose an appropriate alignment policy with collected problem information. Human intervention can reinforce certain successful policies in a given context, and can also contribute by adding completely new policies. Experiments have been conducted to test the applicability of the alignment mechanism and the main results are presented here.
Url:
DOI: 10.1007/978-3-540-75119-9_19
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Automated ways to overcome conflicts in the behavior of agents can make the execution of interactions more reliable. Such an alignment mechanism will reduce the necessary human intervention. This paper shows how to describe a policy for alignment, which an agent can apply when its behavior is in conflict with other agents. An extension of Petri Nets is used to capture the intended interaction of an agent in a formal way. Furthermore, a mechanism based on machine learning is implemented, to enable an agent to choose an appropriate alignment policy with collected problem information. Human intervention can reinforce certain successful policies in a given context, and can also contribute by adding completely new policies. Experiments have been conducted to test the applicability of the alignment mechanism and the main results are presented here.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Gerben G. 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Automated ways to overcome conflicts in the behavior of agents can make the execution of interactions more reliable. Such an alignment mechanism will reduce the necessary human intervention. This paper shows how to describe a policy for alignment, which an agent can apply when its behavior is in conflict with other agents. An extension of Petri Nets is used to capture the intended interaction of an agent in a formal way. Furthermore, a mechanism based on machine learning is implemented, to enable an agent to choose an appropriate alignment policy with collected problem information. Human intervention can reinforce certain successful policies in a given context, and can also contribute by adding completely new policies. Experiments have been conducted to test the applicability of the alignment mechanism and the main results are presented here.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><label>I21017</label><label>I18040</label><label>I18030</label><label>I18024</label><label>I13022</label><label>I18067</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. 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Robotics)</BookSubject><BookSubject Code="I18040" Priority="2" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18030" Priority="3" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I18024" Priority="4" Type="Secondary">Database Management</BookSubject><BookSubject Code="I13022" Priority="5" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I18067" Priority="6" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup></BookInfo><BookHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>Matthias</GivenName><FamilyName>Klusch</FamilyName></EditorName><Contact><Email>klusch@dfki.de</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Koen</GivenName><GivenName>V.</GivenName><FamilyName>Hindriks</FamilyName></EditorName><Contact><Email>k.v.hindriks@tudelft.nl</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Mike</GivenName><GivenName>P.</GivenName><FamilyName>Papazoglou</FamilyName></EditorName><Contact><Email>mikep@uvt.nl</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Leon</GivenName><FamilyName>Sterling</FamilyName></EditorName><Contact><Email>leon@csse.unimelb.edu.au</Email></Contact></Editor></EditorGroup></BookHeader><Part ID="Part5"><PartInfo TocLevels="0"><PartID>5</PartID><PartSequenceNumber>5</PartSequenceNumber><PartTitle>Interaction and Cooperation</PartTitle><PartChapterCount>3</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Cooperative Information Agents XI</BookTitle></PartContext></PartInfo><Chapter ID="Chap19" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>19</ChapterID><ChapterDOI>10.1007/978-3-540-75119-9_19</ChapterDOI><ChapterSequenceNumber>19</ChapterSequenceNumber><ChapterTitle Language="En">Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime</ChapterTitle><ChapterFirstPage>270</ChapterFirstPage><ChapterLastPage>284</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>5</PartID><BookID>978-3-540-75119-9</BookID><BookTitle>Cooperative Information Agents XI</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Gerben</GivenName><GivenName>G.</GivenName><FamilyName>Meyer</FamilyName></AuthorName><Contact><Email>g.g.meyer@rug.nl</Email></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Nick</GivenName><GivenName>B.</GivenName><FamilyName>Szirbik</FamilyName></AuthorName><Contact><Email>n.b.szirbik@rug.nl</Email></Contact></Author><Affiliation ID="Aff1"><OrgName>Department of Business & ICT, Faculty of Economics, Management and, Organization, University of Groningen, Landleven 5, P.O. Box 800, 9700 AV Groningen</OrgName><OrgAddress><Country>The Netherlands</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conflicts in the behavior of agents can make the execution of interactions more reliable. Such an alignment mechanism will reduce the necessary human intervention. This paper shows how to describe a policy for alignment, which an agent can apply when its behavior is in conflict with other agents. An extension of Petri Nets is used to capture the intended interaction of an agent in a formal way. Furthermore, a mechanism based on machine learning is implemented, to enable an agent to choose an appropriate alignment policy with collected problem information. Human intervention can reinforce certain successful policies in a given context, and can also contribute by adding completely new policies. Experiments have been conducted to test the applicability of the alignment mechanism and the main results are presented here.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime</title></titleInfo><name type="personal"><namePart type="given">Gerben</namePart><namePart type="given">G.</namePart><namePart type="family">Meyer</namePart><affiliation>Department of Business & ICT, Faculty of Economics, Management and, Organization, University of Groningen, Landleven 5, P.O. Box 800, 9700 AV Groningen, The Netherlands</affiliation><affiliation>E-mail: g.g.meyer@rug.nl</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Nick</namePart><namePart type="given">B.</namePart><namePart type="family">Szirbik</namePart><affiliation>Department of Business & ICT, Faculty of Economics, Management and, Organization, University of Groningen, Landleven 5, P.O. Box 800, 9700 AV Groningen, The Netherlands</affiliation><affiliation>E-mail: n.b.szirbik@rug.nl</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conflicts in the behavior of agents can make the execution of interactions more reliable. Such an alignment mechanism will reduce the necessary human intervention. This paper shows how to describe a policy for alignment, which an agent can apply when its behavior is in conflict with other agents. An extension of Petri Nets is used to capture the intended interaction of an agent in a formal way. Furthermore, a mechanism based on machine learning is implemented, to enable an agent to choose an appropriate alignment policy with collected problem information. Human intervention can reinforce certain successful policies in a given context, and can also contribute by adding completely new policies. Experiments have been conducted to test the applicability of the alignment mechanism and the main results are presented here.</abstract><relatedItem type="host"><titleInfo><title>Cooperative Information Agents XI</title><subTitle>11th International Workshop, CIA 2007, Delft, The Netherlands, September 19-21, 2007. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Matthias</namePart><namePart type="family">Klusch</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Koen</namePart><namePart type="given">V.</namePart><namePart type="family">Hindriks</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Mike</namePart><namePart type="given">P.</namePart><namePart type="family">Papazoglou</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Leon</namePart><namePart type="family">Sterling</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2007</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I13022">Computer Communication Networks</topic><topic authority="SpringerSubjectCodes" authorityURI="I18067">User Interfaces and Human Computer Interaction</topic></subject><identifier type="DOI">10.1007/978-3-540-75119-9</identifier><identifier type="ISBN">978-3-540-75118-2</identifier><identifier type="eISBN">978-3-540-75119-9</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">156613</identifier><identifier type="BookID">978-3-540-75119-9</identifier><identifier type="BookChapterCount">24</identifier><identifier type="BookVolumeNumber">4676</identifier><identifier type="BookSequenceNumber">4676</identifier><identifier type="PartChapterCount">3</identifier><part><date>2007</date><detail type="part"><title>Interaction and Cooperation</title></detail><detail type="volume"><number>4676</number><caption>vol.</caption></detail><extent unit="pages"><start>270</start><end>284</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2007</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><originInfo><copyrightDate encoding="w3cdtf">2007</copyrightDate><issuance>serial</issuance></originInfo><relatedItem type="constituent"><titleInfo><title>Lecture Notes in Artificial Intelligence</title></titleInfo><name type="personal"><namePart type="given">Jaime</namePart><namePart type="given">G.</namePart><namePart type="family">Carbonell</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jörg</namePart><namePart type="family">Siekmann</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Matthias</namePart><namePart type="family">Klusch</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Koen</namePart><namePart type="given">V.</namePart><namePart type="family">Hindriks</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Mike</namePart><namePart type="given">P.</namePart><namePart type="family">Papazoglou</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Leon</namePart><namePart type="family">Sterling</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="sub-series"></genre><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SubSeriesID">1244</identifier></relatedItem><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2007</recordOrigin></recordInfo></relatedItem><identifier type="istex">7851F8E8048C39F8CAA77AB04CA2BC964B04DA65</identifier><identifier type="DOI">10.1007/978-3-540-75119-9_19</identifier><identifier type="ChapterID">19</identifier><identifier type="ChapterID">Chap19</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2007</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2007</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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