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| "Belief networks are used to model uncertainty in a domain. The term "belief networks" encompasses a whole range of different but related techniques which deal with reasoning under uncertainty. Both quantitative (mainly using Bayesian probabilistic methods) and qualitative techniques are used. Increasingly, belief network techniques are being employed to deliver advanced knowledge based systems to solve real world problems. Belief networks are particularly useful for diagnostic applications and have been used in many deployed systems. The free-text help facility in the Microsoft Office product employs Bayesian belief network technology." (Ian Harrison) |
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| Artificial Intelligence - Artificial Life - Bayesian Belief Networks - Computer Vision - Cybernetics - Expert Systems - Fuzzy Logic - Genetic Algorithms - Genetic Programming - Industrial Control Systems - Intelligent Agents - Knowledge Management - Knowledge Representation - Machine Learning - Neural Networks - Pattern Recognition - Robotics - Supercomputers |
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