Abstract
Since the Internet has grown an easily accessible and popular place for business applications the problem of knowledge integration based on using Web tools and dealing with knowledge representation and processing has become actual. The paper presents a knowledge fusion agent as a part of multiagent system addressing knowledge logistics. This agent is based on a constraint satisfaction technology. The task statement for knowledge fusion agent is presented in an ontology form. This flexible task representation via transparent and open ontology formalism enables creating routing plans for a transportation system of a virtual production network.
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4. References
Bowman M., Tecuci G., and Ceruti M., Application of Disciple to Decision Making in Complex and Constrained Environments, Proceedings of the 2001 IEEE Systems, Man, and Cybernetics Conference 2001.
FIPA Foundation for Intelligent Physical Agents Documentation 2004. URL: http://www.fipa.org
Golm F., and Smirnov A. Virtual Production Network Configuration: ACS-approach and tools // Advances in Networked Enterprises: The Proceedings of the 4th IEEE/IFIP International Conference on Information Technology for Balanced Automation Systems in Production and Transportation (BASYS 2000). Berlin: Kluwer Academic Publishers; Bosten/Dordrecht/London, 2000; 103–110.
ILOG Corporate Web-site, 2004. URL: http://www.ilog.com
Ruiz R., Maroto C. and Alcaraz J. A decision support system for a real vehicle routing problem, European Journal of Operational Research 2004; 153(3):593–606.
The Semantic Web Community Portal 2004; URL: http://www.semanticweb.org
Smirnov A., Pashkin M., Chilov N., & Levashova, T. Multi-Agent Architecture for Knowledge Fusion from Distributed Sources. Proceedings of 2nd International Workshop of Central and Eastern Europe on Multi-Agent Systems (CEEMAS’nu2001). Krakow, Poland, September 26–29, 2001; 403–412
Smirnov A., Pashkin M., Chilov N. & Levashova T. Agent-Based Knowledge Fusion in Scalable Information Environment: Major Principles and System Framework. Proceedings of the First International ICSC Congress on Autonomous Intelligent Systems (ICAIS’2002), ISBN: 3-906454-30-4, Geelong, Australia, 2002.
Smirnov A., Pashkin M., Chilov N., Levashova T. and Haritatos F. Knowledge Source Network Configuration Approach to Knowledge Logistics. International Journal of General Systems. Taylor & Francis Group 2003; 32(3): 251–269.
Smirnov, A. V., Pashkin, M. P., Chilov, N. G., Levashova, T. V. Agent-Based Support of Mass Customization for Corporate Knowledge Management. In: Engineering Applications on Artificial Intelligence 2003; 16(4): 349–364.
Smirnov, A. V., Pashkin, M. P., Chilov, N. G., Levashova, T. V. Knowledge Logistics in Information Grid Environment. The special issue “Semantic Grid and Knowledge Grid: The Next-Generation Web” (H. Zhuge, ed.) of International Journal on Future Generation Computer Systems 2003, 20(1):61–79.
Tarantilis C.D., Diakoulaki D. and Kiranoudis C.T. Combination of geographical information system and efficient routing algorithms for real life distribution operations, European Journal of Operational Research 2004; 152(2) 437–453.
XML-RPC Web-site, 2004. URL: http://www.xmlrpc.org
XmlRpc++ Library Web-site, 2004. URL: http://xmlrpepp.sourceforge.net
Weiss, G. (ed.): Multiagent Systems: a Modern Approach to Distributed Artificial Intelligence. The MIT Press, Cambridge, Massachusetts, London, 2000.
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Smirnov, A., Pashkin, M., Chilov, N., Levashova, T., Krizhanovsky, A. (2005). Fusion-Based Intelligent Support for Logistics Management. 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_22
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DOI: https://doi.org/10.1007/0-387-22829-2_22
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