skip to main content
10.1145/1082473.1082805acmconferencesArticle/Chapter ViewAbstractPublication PagesaamasConference Proceedingsconference-collections
Article

MAGENTA technology: multi-agent systems for industrial logistics

Published:25 July 2005Publication History

ABSTRACT

We introduce MAGENTA'S commercial multi-agent systems technology, and illustrate its practical use by describing a field-tested application in the area of logistics/scheduling. MAGENTA technology provides two integrated toolsets for building industrial-strength systems: the Ontology Management Toolkit (which enables designers to capture the concepts and interrelationships between concepts in an application), and the Virtual Marketplace Engine (the platform supporting agent interaction in MAGENTA'S technology); in addition, run-time visualisation and monitoring tools are provided for debugging systems. The application we describe is a field-tested scheduling/logistics system for Tankers International, which provides intelligent support in the scheduling of a 46-strong Very Large Crude Carrier (VLCC) fleet.

References

  1. G. Antoniou and F. van Harmelen. A Semantic Web Primer. The MIT Press: Cambridge, MA, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. The OWL Coalition. OWL: The web ontology language, 2004. See http://www.w3.org/2004/OWL/.Google ScholarGoogle Scholar
  3. O. Etzioni and D. S. Weld. Intelligent agents on the internet: Fact, fiction, and forecast. IEEE Expert, 10(4):44--49, August 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. FIPA. The foundation for intelligent physical agents, 2001. See http://www.fipa.org/.Google ScholarGoogle Scholar
  5. The Protégé Group. The Protégé ontology editor, 2004. See http://protege.stanford.edu/.Google ScholarGoogle Scholar
  6. T. R. Gruber. The role of common ontology in achieving sharable, reusable knowledge bases. In R. Fikes and E. Sandewall, editors, Proceedings of Knowledge Representation and Reasoning (KR&R-91). Morgan Kaufmann Publishers: San Mateo, CA, April 1991.Google ScholarGoogle Scholar
  7. N. F. Noy and D. L. McGuinness. Ontology development 101: A guide to creating your first ontology, 2004. See http://protege.stanford.edu/publications/.Google ScholarGoogle Scholar
  8. M. Wooldridge and N. R. Jennings. Intelligent agents: Theory and practice. The Knowledge Engineering Review, 10(2):115--152, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  9. M. Wooldridge, N. R. Jennings, and D. Kinny. A methodology for agent-oriented analysis and design. In Proceedings of the Third International Conference on Autonomous Agents (Agents 99), pages 69--76, Seattle, WA, May 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. MAGENTA technology: multi-agent systems for industrial logistics

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
            July 2005
            1407 pages
            ISBN:1595930930
            DOI:10.1145/1082473

            Copyright © 2005 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 25 July 2005

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • Article

            Acceptance Rates

            Overall Acceptance Rate1,155of5,036submissions,23%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader