Abstract
Recent developments in logistics show an increasing trend towards autonomous control. Intelligent software agents, that represent logistic objects like shipping containers, plan and schedule their way through a logistic network. This paper addresses the aspect of cooperation. A special focus lies on the second step of the model for cooperation, namely team formation. The question is by which criteria shipping containers, or logistic objects and agents in general, can form clusters. Starting from the particular demands of the logistics domain this paper argues in favour of conceptual, spatial, and temporal properties. A framework that takes concept, location, and time into account is introduced and demonstrated by an example application.
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References
Weiss, G. (ed.): Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge, MA (1999)
Günther, H.O., Kim, K.H. (eds.): Container Terminals and Automated Transport Systems. Springer, Heidelberg (2005)
Levinson, M.: The Box: How the Shipping Container Made the World Smaller and the World Economy Bigger. Princeton University Press, Princeton, NJ (2006)
Wooldridge, M., Jennings, N.R.: The Cooperative Problem Solving Process. Journal of Logic & Computation 9(4), 563–592 (1999)
Hübner, S., Spittel, R., Visser, U., Vögele, T.J.: Ontology-Based Search for Interactive Digital Maps. IEEE Intelligent Systems 19(3), 80–86 (2004)
Visser, U.: Intelligent Information Integration for the Semantic Web. LNCS, vol. 3159. Springer, Heidelberg (2004)
Dantzig, G.B.: Application of the Simplex Method to a Transportation Problem. In: Koopmans, T.C. (ed.) Activity Analysis of Production and Allocation, pp. 359–373. John Wiley & Sons, New York (1951)
MacQueen, J.: Some Methods for Classification and Analysis of Multivariate Observations. In: Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281–296 (1967)
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless Sensor Networks: A Survey. Computer Networks 38, 393–422 (2002)
Al-Karaki, J.N., Kamal, A.E.: Routing Techniques in Wireless Sensor Networks: A Survey. IEEE Wireless Communications 11(6), 6–28 (2004)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: 33rd Hawaii International Conference on System Sciences. vol. 8, pp. 8020–8029 (2000)
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F.: The Description Logic Handbook. Cambridge University Press, Cambridge (2003)
Shvaiko, P., Euzenat, J.: A Survey of Schema-Based Matching Approaches. Journal on Data Semantics 4, 146–171 (2005)
Li, L., Horrocks, I.: A Software Framework for Matchmaking Based on Semantic Web Technology. International Jounal of Electronic Commerce 8(4), 39–60 (2004)
Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26(11), 832–843 (1983)
Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-Agent Systems with JADE. John Wiley & Sons, Chichester (2007)
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Schuldt, A., Werner, S. (2007). Distributed Clustering of Autonomous Shipping Containers by Concept, Location, and Time. In: Petta, P., Müller, J.P., Klusch, M., Georgeff, M. (eds) Multiagent System Technologies. MATES 2007. Lecture Notes in Computer Science(), vol 4687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74949-3_11
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DOI: https://doi.org/10.1007/978-3-540-74949-3_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74948-6
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