Please use this identifier to cite or link to this item:
doi:10.22028/D291-25000
Title: | Cooperative transportation scheduling : an application domain for DAI |
Author(s): | Fischer, Klaus Müller, Jörg P. Pischel, Markus |
Language: | English |
Year of Publication: | 1995 |
OPUS Source: | Kaiserslautern ; Saarbrücken : DFKI, 1995 |
SWD key words: | Künstliche Intelligenz |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | 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. |
Link to this record: | urn:nbn:de:bsz:291-scidok-38072 hdl:20.500.11880/25056 http://dx.doi.org/10.22028/D291-25000 |
Series name: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Series volume: | 95-01 |
Date of registration: | 5-Jul-2011 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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