Strong Mobility and Fine-Grained Resource Control in NOMADS
ASA/MA 2000 Proceedings of the Second International Symposium on Agent Systems and Applications and Fourth International Symposium on Mobile Agents
Supporting Flexible Data Feeds in Dynamic Sensor Grids through Mobile Agents
MA '02 Proceedings of the 6th International Conference on Mobile Agents
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
Representation and reasoning for DAML-based policy and domain services in KAoS and nomads
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Making agents acceptable to people abstract of a key-note speech
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Expectations and deployment of agent technology in manufacturing and defence: case studies
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Information Agents Handling Semantic Data as an Extension to Process Monitoring Systems
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
Toward trustworthy adjustable autonomy in KAoS
Trusting Agents for Trusting Electronic Societies
KARMEN: multi-agent monitoring and notification for complex processes
HoloMAS'05 Proceedings of the Second international conference on Holonic and Multi-Agent Systems for Manufacturing
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Safety and efficiency are primary concerns in chemical processing facilities, though the complexity of many such systems often makes it difficult for operators to detect abnormal conditions before they compromise throughput or become hazardous. In this paper, we report initial results from the application of multi-agent systems to monitor complex chemical processes and flexibly and appropriately notify key plant personnel about off-nominal conditions.