Uncertainty and vagueness in knowledge based systems
Uncertainty and vagueness in knowledge based systems
Knowledge Management and Organizational Memories
Knowledge Management and Organizational Memories
Distributed Description Logics: Directed Domain Correspondences in Federated Information Sources
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Argumentation based decision making for autonomous agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Important aspect of knowledge management
Computer Science in Perspective
Agent-Supported Information Retrieval in the Logistics Chain
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Reasoning about Uncertainty
The dMARS Architecture: A Specification of the Distributed Multi-Agent Reasoning System
Autonomous Agents and Multi-Agent Systems
Collectives and Design Complex Systems
Collectives and Design Complex Systems
Agent-Mediated Knowledge Management: International Symposium Amkm 2003, Stanford, Ca, Usa, March 24-26, 2003: Revised and Invited Papers (Lecture Notes in Computer Science, 2926.)
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
An anytime algorithm for decision making under uncertainty
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Evaluating situation awareness of autonomous systems
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
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We present a novel approach to enable decision-making in a highly distributed multiagent environment where individual agents need to act in an autonomous fashion. Our architecture framework integrates risk management, knowledge management, and agent deliberation to enable sophisticated, autonomous decision-making. Instead of a centralized knowledge repository, our approach supports a highly distributed knowledge base in which each agent manages a fraction of the knowledge needed by the entire system. Our approach also addresses the fact that the desired knowledge is often highly dynamic, context-sensitive, incomplete, or uncertain. Thus risk management becomes an integral component which enables context-based, situation-aware decision making, which in turn supports autonomous, self-managing behavior of the agents. A prototype system demonstrating the feasibility of our approach is being developed as part of an ongoing funded research project.