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Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned with building systems that automatically answer questions that are posed by humans in a natural language. [1]
It was the first program deliberately engineered to perform automated reasoning, and has been described as "the first artificial intelligence program". [ 1 ] [ a ] Logic Theorist proved 38 of the first 52 theorems in chapter two of Whitehead and Bertrand Russell 's Principia Mathematica , and found new and shorter proofs for some of them.
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.
Automatic and controlled processes (ACP) are the two categories of cognitive processing.All cognitive processes fall into one or both of those two categories. The amounts of "processing power", attention, and effort a process requires is the primary factor used to determine whether it's a controlled or an automatic process.
Automated theorem proving (also known as ATP or automated deduction) is a subfield of automated reasoning and mathematical logic dealing with proving mathematical theorems by computer programs. Automated reasoning over mathematical proof was a major motivating factor for the development of computer science .
CASC is associated with the Conference on Automated Deduction and the International Joint Conference on Automated Reasoning organized by the Association for Automated Reasoning. It has inspired similar competition in related fields, in particular the successful SMT-COMP competition [ 5 ] for satisfiability modulo theories , the SAT Competition ...
Knowledge representation goes hand in hand with automated reasoning because one of the main purposes of explicitly representing knowledge is to be able to reason about that knowledge, to make inferences, assert new knowledge, etc. Virtually all knowledge representation languages have a reasoning or inference engine as part of the system. [17]
Reasoning systems come in two modes: interactive and batch processing. Interactive systems interface with the user to ask clarifying questions or otherwise allow the user to guide the reasoning process. Batch systems take in all the available information at once and generate the best answer possible without user feedback or guidance. [1]