Abstract
Intelligent Agent technology provides an appropriate framework to integrate knowledge with efficient production actions in distributed organizations. Integration of knowledge depends on balanced information representation within and across heterogeneous organizations. Integrating information within a specific environment can be helped by the deployment of standards and common practices. However, it is harder to attempt such a smooth integration with the information of foreign organizations. It is the challenge of this paper to present an architecture that provides a first step towards successful integration of separate multi-agent systems in a real life control domain.
Chapter PDF
Similar content being viewed by others
Keywords
- Intelligent Agent
- International Electrotechnical Commission
- Agent Architecture
- Agent Framework
- Agent Communication Language
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
7. References
Alger D., McCubbin C., Pekala M., Scheidt D., Vick S. Intelligent Control of Auxiliary Ship Systems. Proc. of Innovative Applications in Artificial Intelligence, AAAI, Edmonton, CA, 2002.
Kurien J., Model-based Monitoring, Diagnosis and Control, PhD Thesis Proposal, Brown University Department of Computer Science, 1999.
Maturana F., Tichý P., Šlechta P., and Staron R., “Using Dynamically Created Decision-Making Organizations (Holarchies) to Plan, Commit, and Execute Control Tasks in a Chilled Water System”. In Proceedings of the 13th International Workshop on Database and Expert Systems Applications DEXA 2002, HoloMAS 2002, Aix-en-Provence, France, pp. 613–622, 2002.
Tichý P., Šlechta P., Maturana F., and Balasubramanian S., “Industrial MAS for Planning and Control”. In (Mařík V., Štěpánková O., Krautwurmová H., Luck M., eds.) Proceedings of Multi-Agent Systems and Applications II: 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 LNAI 2322, Springer-Verlag, Berlin, pp. 280–295, 2002.
Williams B., and Nayak P. A model-based approach to reactive self-configuring systems. In Proceedings of AAAI-1996.
Shen W., Norrie D., and Barthès J.P.: Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. Taylor & Francis, London, 2001.
Smith R.G.: The Contract Net Protocol. High-level Communication and Control in a Distributed Problem Solver. In IEEE Transactions on Computers, C-29(12), pp. 1104–1113, 1980.
International Electrotechnical Commission (IEC) TC65/WG6, 61131-3, 2nd Ed., Programmable Controllers-Programming Languages, April 16, 2001.
The Foundation for Intelligent Physical Agents (FIPA): http://www.fipa.org, 2003.
Livingstone2 Documentation, http://ic.arc.nasa/gov/projects/L2/doc, 2004.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 International Federation for Information Processing
About this paper
Cite this paper
Maturana, F. et al. (2005). Integrating Multi-Agent Systems: A Case Study. In: Camarinha-Matos, L.M. (eds) Emerging Solutions for Future Manufacturing Systems. BASYS 2004. IFIP International Federation for Information Processing, vol 159. Springer, Boston, MA. https://doi.org/10.1007/0-387-22829-2_11
Download citation
DOI: https://doi.org/10.1007/0-387-22829-2_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-22828-0
Online ISBN: 978-0-387-22829-7
eBook Packages: Computer ScienceComputer Science (R0)