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Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-38072
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/3807/


Cooperative transportation scheduling : an application domain for DAI

Fischer, Klaus ; Müller, Jörg P. ; Pischel, Markus

Quelle: (1995) Kaiserslautern ; Saarbrücken : DFKI, 1995
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SWD-Schlagwörter: Künstliche Intelligenz
Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
DDC-Sachgruppe: Informatik
Dokumentart: Report (Bericht)
Schriftenreihe: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Bandnummer: 95-01
Sprache: Englisch
Erstellungsjahr: 1995
Publikationsdatum: 05.07.2011
Kurzfassung auf Englisch: A multiagent approach to designing the transportation domain is presented. The MARS system is described which models cooperative order scheduling within a society of shipping companies. We argue why Distributed Artificial Intelligence (DAI) offers suitable tools to deal with the hard problems in this domain. We present three important instances for DAI techniques that proved useful in the transportation application: cooperation among the agents, task decomposition and task allocation, and decentralised planning. An extension of the contract net protocol for task decomposition and task allocation is presented; we show that it can be used to obtain good initial solutions for complex resource allocation problems. By introducing global information based upon auction protocols, this initial solution can be improved significantly. We demonstrate that the auction mechanism used for schedule optimisation can also be used for implementing dynamic replanning. Experimental results are provided evaluating the performance of different scheduling strategies.
Lizenz: Standard-Veröffentlichungsvertrag

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