Philosophy Dictionary of ArgumentsHome
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| Knowledge representation: Knowledge representation in IT is the process of encoding knowledge in a way that can be understood and processed by computers. Applications are expert systems, natural language processing, machine learning. See also Machine learning, Artificial Intelligence._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
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Peter Gärdenfors on Knowledge Representation - Dictionary of Arguments
I 258 Symbolic knowledge representation/Gärdenfors: traditional problem: the requirement for a uniform description. I doubt that explicit symbolic characterization of ontologies is the most efficient, let alone the most natural way (relative to human cognition). > Semantic Web._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
Gä I P. Gärdenfors The Geometry of Meaning Cambridge 2014 |
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> Counter arguments against Gärdenfors
> Counter arguments in relation to Knowledge Representation
Ed. Martin Schulz, access date 2024-04-29