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Multi-agent Framework for a Virtual Enterprise of Demand-Responsive Transportation

Identifieur interne : 002090 ( Istex/Corpus ); précédent : 002089; suivant : 002091

Multi-agent Framework for a Virtual Enterprise of Demand-Responsive Transportation

Auteurs : Daniel Cabrera ; Claudio Cubillos

Source :

RBID : ISTEX:2B1AB6D9D55ED863933BDF0F32C9539ADCDE12A3

Abstract

Abstract: This work presents a multiagent framework design for Demand-Responsive Transportation, considering a virtual enterprise domain. The agent architecture obtained provides a baseline for the integration between end-users of the transport service and multiple transport operators affiliated to a virtual enterprise which provides flexibility in the incorporation and leaving of transport operators. The participation of governmental organizations and active destinations within the system allows the virtual enterprise having additional information on potential opportunities of business and assures transport system users a wider and more complete service search. The PASSI methodology has been used as base software engineering methodology for leveraging the multiagent architecture.

Url:
DOI: 10.1007/978-3-540-68825-9_7

Links to Exploration step

ISTEX:2B1AB6D9D55ED863933BDF0F32C9539ADCDE12A3

Le document en format XML

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<abstract lang="en">Abstract: This work presents a multiagent framework design for Demand-Responsive Transportation, considering a virtual enterprise domain. The agent architecture obtained provides a baseline for the integration between end-users of the transport service and multiple transport operators affiliated to a virtual enterprise which provides flexibility in the incorporation and leaving of transport operators. The participation of governmental organizations and active destinations within the system allows the virtual enterprise having additional information on potential opportunities of business and assures transport system users a wider and more complete service search. The PASSI methodology has been used as base software engineering methodology for leveraging the multiagent architecture.</abstract>
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<subTitle>21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008 Windsor, Canada, May 28-30, 2008 Proceedings</subTitle>
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<name type="personal">
<namePart type="given">Sabine</namePart>
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<topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic>
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<topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic>
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<identifier type="DOI">10.1007/978-3-540-68825-9</identifier>
<identifier type="ISBN">978-3-540-68821-1</identifier>
<identifier type="eISBN">978-3-540-68825-9</identifier>
<identifier type="ISSN">0302-9743</identifier>
<identifier type="eISSN">1611-3349</identifier>
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<identifier type="BookID">978-3-540-68825-9</identifier>
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<date>2008</date>
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<number>5032</number>
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<start>66</start>
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<title>Lecture Notes in Artificial Intelligence</title>
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<name type="personal">
<namePart type="given">Jaime</namePart>
<namePart type="given">G.</namePart>
<namePart type="family">Carbonell</namePart>
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<roleTerm type="text">editor</roleTerm>
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<name type="personal">
<namePart type="given">J\"org</namePart>
<namePart type="family">Siekmann</namePart>
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<roleTerm type="text">editor</roleTerm>
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<name type="personal">
<namePart type="given">Sabine</namePart>
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