Using metalevel techniques in a flexible toolkit for CSCW applications
ACM Transactions on Computer-Human Interaction (TOCHI)
Agents for process coherence in virtual enterprises
Communications of the ACM
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Distributed Work
Business Process Management: The Third Wave
Business Process Management: The Third Wave
Resource allocation games with changing resource capacities
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Reasoning about Uncertainty
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Business Process Management: A Killer App for Agents?
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Engineering open environments with electronic institutions
Engineering Applications of Artificial Intelligence
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An agent architecture is described with high-level process management applications in mind. The agent is “information-based” in that it is designed to operate with real-time information streams. The information that it receives may be of questionable integrity, and is represented in probabilistic first-order logic. The agent applies entropy-based inference techniques to its information base to determine its actions. Each agent is distinguished by the its information and by its plans. The agents' information consists of individual chunks that can be formed into clusters and so into sub-clusters, thus permitting the design of hierarchic multiagent systems consistent with holonic principles.