Please use this identifier to cite or link to this item: doi:10.22028/D291-25071
Title: An empirical evaluation on the suitability of market-based mechanisms for telematics applications
Author(s): Gerber, Christian
Ruß, Christian
Vierke, Gero
Language: English
Year of Publication: 1998
OPUS Source: Kaiserslautern ; Saarbrücken : DFKI, 1998
SWD key words: Künstliche Intelligenz
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: In this paper, we compare the suitability of several market-based allocation mechanisms, the Vickrey auction, the matrix auction for multiple heterogeneous items and the simulated trading algorithm, using the allocation of transportation tasks to a fleet of trucks as an example domain. We distinguish three different organizational settings in which the set of vehicles, represented by autonomous agents, may be coordinated by the examined market-based mechanisms: in a cooperative setting, the truck agents are benevolent and try to reduce transportation cost on behalf of a central coordinator, i.e. an agent that represents the shipping company. In a competitive setting, the truck agents are self-interested and aim at optimizing their private surplus. In the hybrid setting a compromise between the conflicting goals, cost minimization and surplus maximization has to be found. We analyze the communication complexity of the mechanisms on a theoretical basis. We empirically examine their scalability and tractability by comparing their processing time and allocative efficiency for order sets of different size. Thereby, the allocative efficiency of the mechanisms is measured in terms of cost, surplus, and number of trucks. The results are rated from the point of view of the different organizational settings.
Link to this record: urn:nbn:de:bsz:291-scidok-39169
Series name: Technical memo / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-0071]
Series volume: 98-02
Date of registration: 12-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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