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Because of its intimate connection with truth, knowledge, and inference, belief is the natural candidate.
This can be utilised by the users to check the validity of the decision as well as the knowledge and inference procedures associated with it.
It generates communicative response according to the user input, the dialogue context, the user's and its own personality knowledge, common sense knowledge, and inference knowledge.
The growth of incremental beliefs was directly associated with STEM dropout above and beyond biology course grade and biology domain knowledge and inference making.
Interestingly, the effect of biology domain knowledge and inference making on STEM dropout was mediated by biology course grade and incremental beliefs.
Design and implementation of the first version of the expert interface system for integration of photogrammetric and GIS systems show that expert system capabilities for modeling the knowledge and inference method of experts, has an effective role in automation of spatial data preparation and structuring.
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We believe that many of these approaches have broad value, for example in contour illusion explanations or LBT illusions, which need further analysis or even previous knowledge and inferences for their explanation.
Compared with traditional CDSS (clinical knowledge and inferencing or control knowledge are mixed in the same representation), the rules in our system are separate from the program of headache CDSS, and thus updating of the knowledge base is convenient for system development engineers, they need only modify the rules in the knowledgebase instead of revising and compiling the whole program.
This paper describes the fuzzy knowledge representation framework of the medical computer consultation system MedFrame/CADIAG-IV as well as the specific knowledge acquisition techniques that have been developed to support the definition of knowledge concepts and inference rules.
This intelligent system is implemented by integrating object-oriented representation, constraint-based modeling, rule-based reasoning, truth maintenance, and interfacing to database management system and CAD module, in which fuzzy logic based knowledge representation and inference technique are also applied to deal with uncertain data and knowledge in the design process.
Constraint satisfaction is a fundamental Artificial Intelligence technique for knowledge representation and inference.
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