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  1. Aug 27, 2003 · Logic-Based Artificial Intelligence. First published Wed Aug 27, 2003; substantive revision Tue Feb 27, 2024. Artificial Intelligence (referred to hereafter by its nickname, “AI”) is the subfield of Computer Science devoted to developing programs that enable computers to display behavior that can (broadly) be characterized as intelligent.

  2. Logic programming is a programming strategy that uses logic circuits to control how facts and rules are expressed, rather than only mathematical functions. Often used in genetic and evolutionary programming, this approach generally tells a model what goal to accomplish, rather than how to accomplish it. Instead of a carefully structured control ...

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  4. Aug 9, 2019 · By logic we mean symbolic, knowledge-based, reasoning and other similar approaches to AI that differ, at least on the surface, from existing forms of classical machine learning and deep learning.

  5. Logic programming is a programming paradigm that is based on formal logic. It is used for knowledge representation and reasoning in databases and AI applications. A program, database, or knowledge base in a logic programming language is a set of sentences in logical form, expressing facts and rules about a problem domain.

  6. Logic programming is a type of programming that is based on formal logic. In AI, logic programming is used for knowledge representation and reasoning. Logic programming can be used for planning, natural language processing, and other tasks. Logic programming is a type of programming in which programmers define the rules of the program in the ...

  7. Apr 4, 2023 · A paradigm classifies a language based on its features and how its programs are constructed and used. Logic programming is a paradigm that uses a system of facts and rules. It is commonly used in the artificial intelligence and machine learning domains. This guide explains the logic programming paradigm and compares it to other programming ...

  8. Jul 21, 2021 · Use Cases of Logic Programming. Logic Programming is extensively used in Natural Language Processing (NLP) since understanding languages is about the recognition of patterns that numbers cannot represent. It is also used in prototyping models. Since expressions and patterns can be replicated using logic, prototyping is made easy.

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