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  2. Automated reasoning - Wikipedia

    en.wikipedia.org/wiki/Automated_reasoning

    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 engage in automatic reasoning.

  3. Journal of Automated Reasoning - Wikipedia

    en.wikipedia.org/wiki/Journal_of_Automated_Reasoning

    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.

  4. Isabelle (proof assistant) - Wikipedia

    en.wikipedia.org/wiki/Isabelle_(proof_assistant)

    The Isabelle [a] automated theorem prover is a higher-order logic (HOL) theorem prover, written in Standard ML and Scala.As a Logic for Computable Functions (LCF) style theorem prover, it is based on a small logical core (kernel) to increase the trustworthiness of proofs without requiring, yet supporting, explicit proof objects.

  5. Automated essay scoring - Wikipedia

    en.wikipedia.org/wiki/Automated_essay_scoring

    Automated essay scoring (AES) is the use of specialized computer programs to assign grades to essays written in an educational setting. It is a form of educational assessment and an application of natural language processing. Its objective is to classify a large set of textual entities into a small number of discrete categories, corresponding ...

  6. Expert system - Wikipedia

    en.wikipedia.org/wiki/Expert_system

    The inference engine may also include abilities for explanation, so that it can explain to a user the chain of reasoning used to arrive at a particular conclusion by tracing back over the firing of rules that resulted in the assertion. [50] There are mainly two modes for an inference engine: forward chaining and backward chaining. The different ...

  7. Neuro-symbolic AI - Wikipedia

    en.wikipedia.org/wiki/Neuro-symbolic_AI

    System 2 is slower, step-by-step, and explicit. System 1 is used for pattern recognition. System 2 handles planning, deduction, and deliberative thinking. In this view, deep learning best handles the first kind of cognition while symbolic reasoning best handles the second kind. Both are needed for a robust, reliable AI that can learn, reason ...

  8. Reasoning system - Wikipedia

    en.wikipedia.org/wiki/Reasoning_system

    The engine used for automated reasoning in expert systems were typically called inference engines. Those used for more general logical inferencing are typically called theorem provers. [2] With the rise in popularity of expert systems many new types of automated reasoning were applied to diverse problems in government and industry.

  9. Outline of natural language processing - Wikipedia

    en.wikipedia.org/wiki/Outline_of_natural...

    A sub-field of artificial intelligence, automatic reasoning is also grounded in theoretical computer science and philosophy of mind. Linguistics – scientific study of human language. Natural-language processing requires understanding of the structure and application of language, and therefore it draws heavily from linguistics.