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- W2318249762 abstract "A technique for object recognition, based on distributed problem solving approach using multiple sources of knowledge, is proposed. In computer vision systems, the problem space could be divided into a number of hierarchical levels. At each level, various Knowledge Sources (KS's) or experts could be selected, depending on their expertise in the problem-solving. A method based on fuzzy logic is proposed which handles ambiguity associated with the input information. The KS's show cooperative behavior by mutually changing the belief and disbelief values about a certain hypothesis. At each level, they communicate through a global blackboard. Confidence factor calculus and a method of decision-making among experts are developed. The final decision is based on the mean value and the consistency of confidence factor values of the experts. The above paradigm of distributed problem solving is used in the development of cognitive phase of a computer vision system for object recognition. It produces qualitatively better and more reliable results in synthetic environments of dynamic scenes." @default.
- W2318249762 created "2016-06-24" @default.
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- W2318249762 date "1984-01-01" @default.
- W2318249762 modified "2023-09-23" @default.
- W2318249762 title "Distributed problem solving for object recognition (artificial intelligence)" @default.
- W2318249762 hasPublicationYear "1984" @default.
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