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Knowledge Representation and Reasoning [PDF]
, 2011 Ajith Abraham, Crina Grosan
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Real-World Knowledge Representation and Reasoning
2020Apart from its theoretical significance, the AI must represent real-world knowledge, and produce reasoning using that. The real-world things are collections of entities in different classes. This chapter presents the representations structures for such knowledge, e.g., taxonomies and reasoning based on that.
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On the representation of commonsense knowledge by possibilistic reasoning
International Journal of Man-Machine Studies, 1989Abstract We discuss the operation of possibility qualification in the framework of the theory of approximate reasoning. This modal-like operator is then used to represent “typical” or default knowledge in a theory of nonmonotonic reasoning. We investigate the representational power of this approach by looking at a number of prototypical problems from
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Connectionism, Knowledge Representation, and Effective Reasoning
1989Human cognitive agents are capable of representing highly structured knowledge and drawing a variety of inferences based on such knowledge with remarkable efficiency — almost as if by reflex. These inferences are by no means trivial and support a broad range of cognitive activity such as classifying and recognizing objects, understanding spoken and ...
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Scalable Knowledge Representation and Reasoning Systems
2000Traditional work in knowledge representation (KR) aimed to create practical reasoning systems by designing new representations languages and specialized inference algorithms. In recent years, however, an alternative approach based on compiling combinatorial reasoning problems into a common propositional form, and then applying general, highly-efficient
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Knowledge Representation And Reasoning With Bidirectional Exceptions
International Journal of Modelling and Simulation, 1991Jih-shih Hsu +2 more
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Knowledge Representation and Reasoning in the Semantic Web
2013Li Yan +3 more
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