Modeling task allocation using a decision theoretic model
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
self awareness in the mobility open architecture simulation and tools framework
Proceedings of the 2005 ACM workshop on Research in knowledge representation for autonomous systems
Metacognition in computation: a selected research review
Artificial Intelligence
The Role of Problem Classification in Online Meta-cognition
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Motivations as an Abstraction of Meta-level Reasoning
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Field review: Metacognition in computation: A selected research review
Artificial Intelligence
Decentralized monitoring of distributed anytime algorithms
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Using meta-level control with reinforcement learning to improve the performance of the agents
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Decentralized approaches for self-adaptation in agent organizations
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
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Deliberative agents operating in open environments must make complex real-time decisions on scheduling and coordination of domain activities. These decisions are made in the context of limited resources and uncertainty about the outcomes of activities. We describe a reinforcement learning based approach for efficient meta-level reasoning. Empirical results showing the effectiveness of meta-level reasoning in a complex domain are provided.