IEEE Internet Computing
Meta-learning in reinforcement learning
Neural Networks
A Framework for Self-Optimizing Grids Using P2P Components
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Agent-Based Modeling of Knowledge Flows: Illustration from the Domain of Information Systems Design
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 8 - Volume 8
China's E-Science Knowledge Grid Environment
IEEE Intelligent Systems
Semantics and Knowledge Grids: Building the Next-Generation Grid
IEEE Intelligent Systems
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Since cognition could be treated as problem-solving issues based on dynamical knowledge transferring and propagation, the meta-learning and group learning are put forward in conformance with meta-cognition and group cognition through New Product Development (NPD) analysis. To meet the globally distributed tendency of problem solving with cognitive intention based on Internet technology, a P2P-based Problem Solving Environment (PSE) is explored to facilitate Web-based knowledge transferring and propagation. By taking advantage of P2P-based PSE, an infrastructure of knowledge grid oriented toward cooperative cognition is structured to support E-Science.