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In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]
Selection in general stands in contrast to subcategorization: [2] predicates both select and subcategorize for their complement arguments, whereas they only select their subject arguments. Selection is a semantic concept, whereas subcategorization is a syntactic one. [ 3 ]
An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
An intermediate logic obtained by adding all instances of weak excluded middle to propositional logic. [174] [175] Also called "KC" and "Jankov's logic". [175] logical antirealism The philosophical position that logical truths do not correspond to an independent reality but are instead products of human conventions, language, or thought ...
It can also be used to study linguistic transparency (or speaking in an accessible manner), as well as performative utterances and the various tasks that language can perform (called "speech acts"). It also has applications to the study and interpretation of law, and helps give insight to the logical concept of the domain of discourse.
Loglan is a logical constructed language originally designed for linguistic research, particularly for investigating the Sapir–Whorf hypothesis.The language was developed beginning in 1955 by Dr. James Cooke Brown with the goal of making a language so different from natural languages that people learning it would think in a different way if the hypothesis were true.
A similar balancing act was also a motivation for the development of logic programming (LP) and the logic programming language Prolog. Logic programs have a rule-based syntax, which is easily confused with the IF-THEN syntax of production rules. But logic programs have a well-defined logical semantics, whereas production systems do not.