Please use this identifier to cite or link to this item: doi:10.22028/D291-24978
Title: Decision theory and coordination in multiagent systems
Author(s): Fischer, Klaus
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: The aim of this report is to provide an introduction to the theoretical foundations of rational decision making and to give an overview of how decision theory and game theory relate to the field of multiagent systems. We start with presenting the basic framework of classic decision and game theory as it was defined by von Neumann and Morgenstern and continue with explaining the approach of Rosenschein and Zlotkin to apply game theory to multiagent systems. Subsequently, we investigate the principles of coordination mechanism design from an economic point of view and present several auction-based allocation mechanisms. Finally, the transportation domain is introduced as an application example in order to show the importance of the presented concepts in real-world multiagent applications.
Link to this record: urn:nbn:de:bsz:291-scidok-37748
Series name: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Series volume: 98-02
Date of registration: 1-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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