Matchmaking for Autonomous Agents in Electronic Marketplaces

Veit, Daniel J. ; Müller, Jörg P. ; Schneider, Martin ; Fiehn, Björn

Document Type: Conference or workshop publication
Year of publication: 2001
Book title: Proceedings of the Fifth International Conference on Autonomous Agents
The title of a journal, publication series: 5th International Conference on Autonomous Agents (Agents 2001)
Page range: 65-66
Conference title: 5th International Conference on Autonomous Agents : Autonomous Agents 2001
Location of the conference venue: Montreal, Canada
Date of the conference: May 28 - June 1, 2001
Publisher: Müller, Jörg P.
Place of publication: New York, NY
Publishing house: ACM Press
ISBN: 1-58113-326-X
Publication language: English
Institution: Business School > Dieter-Schwarz-Stiftungslehrstuhl für ABWL, E-Business u. E-Government (Veit 2006-2013)
Subject: 330 Economics
Keywords (English): artificial market systems and electronic commerce , middle agents , agent-based software engineering , E-Business , Matchmaking , Distance Computation , Distance Functions , Marketplaces , XML , Enterprise Java Beans
Abstract: Matchmaking is the process of mediating demand and supply based on profile information. Matchmaking plays a crucial role in agent-based electronic marketplaces: the problem to be solved is to find the most appropriate agents, products, or services for a task, negotiation, or market transaction. Most real-world problems require multidimensional matchmaking, i.e., the ability to combine various dimensions of decision-making to define an overall solution to a matchmaking problem, requiring the interplay of multiple matchmaking algorithms. In addition, in order to be applicable for real-world applications, the matchmaking component must be easily integrated into standard industrial marketplace platforms. The work described in this work aims at deploying agent-based matchmaking for industrial electronic business applications. The main contributions of this work are the following: (i) we provide a configurable framework called GRAPPA (Generic Request Architecture for Passive Provider Agents) which is designed to be adapted to electronic marketplace applications. Using GRAPPA, system designers can easily specify demand and supply profiles as XML objects; (ii) within GRAPPA we provide an extensible library of matchmaking functions (building blocks) that can be used for rapid development of matchmaking solutions that include standard information retrieval algorithms.

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

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