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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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Knowledge graph representation and reasoning
Neurocomputing, 2021Cambria, Erik +5 more
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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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Neural Networks and Structured Knowledge: Knowledge Representation and Reasoning
Applied Intelligence, 1999This collection of articles is the first of two parts of a special issue on “Neural Networks and Structured Knowledge.” The contributions to the first part shed some light on the issues of knowledge representation and reasoning with neural networks. Their scope ranges from formal models for mapping discrete structures like graphs or logical formulae ...
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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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Problems in Knowledge Representation and Reasoning
2019In Chaps. 4– 7, we developed parameterized complexity tools to adequately characterize the computational complexity of parameterized variants of problems that lie at the second level of the Polynomial Hierarchy (or higher).
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Knowledge Representation and Reasoning
Annual Review of Computer Science, 1986openaire +1 more source
Knowledge representation and reasoning (KRR)
2023Syed Muzamil Basha, Naif K. Al-Shammari
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Automated Reasoning, Knowledge Representation and Management
2005This overview discusses the connection between two subdisciplines of AI, Automated Reasoning and Knowledge Representation. The state of the art in Automated Reasoning is briefly indicated and its relation to Logic Programming and Knowledge Representation is presented. The issue of Knowledge Management is addressed via a case study.
Baumgartner, P., Furbach, U., Yahya, A.
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