Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Ontology-Based Search for Interactive Digital Maps
IEEE Intelligent Systems
Intelligent Information Integration For The Semantic Web (Lecture Notes in Computer Science)
Intelligent Information Integration For The Semantic Web (Lecture Notes in Computer Science)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
The Description Logic Handbook
The Description Logic Handbook
A Software Framework for Matchmaking Based on Semantic Web Technology
International Journal of Electronic Commerce
A survey of schema-based matching approaches
Journal on Data Semantics IV
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
Designing a Simulation Middleware for FIPA Multiagent Systems
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
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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.