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In computer science, in particular in knowledge representation and reasoning and metalogic, the area of automated reasoning is dedicated to understanding different aspects of reasoning. The study of automated reasoning helps produce computer programs that allow computers to reason completely, or nearly completely, automatically.
The Handbook of Automated Reasoning (ISBN 0444508139, 2128 pages) is a collection of survey articles on the field of automated reasoning. Published in June 2001 by MIT Press, it is edited by John Alan Robinson and Andrei Voronkov. Volume 1 describes methods for classical logic, first-order logic with equality and other theories, and induction.
The Journal of Automated Reasoning was established in 1983 by Larry Wos, who was its editor in chief until 1992. [1] It covers research and advances in automated reasoning, mechanical verification of theorems, and other deductions in classical and non-classical logic. [2] The journal is published by Springer Science+Business Media.
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]
Computational semantics is the study of how to automate the process of constructing and reasoning with meaning representations of natural language expressions. [1] It consequently plays an important role in natural-language processing and computational linguistics.
Her research is on automated reasoning in artificial intelligence focusing on probabilistic and constraint-based reasoning. [2] [3] In 2013, she was elected a Fellow of the Association for Computing Machinery. [4]
Download as PDF; Printable version; In other projects Wikidata item; ... Pages in category "Automated reasoning" The following 16 pages are in this category, out of ...
Logic Theorist introduced several concepts that would be central to AI research: Reasoning as search Logic Theorist explored a search tree: the root was the initial hypothesis, each branch was a deduction based on the rules of logic. Somewhere in the tree was the goal: the proposition the program intended to prove.