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  2. 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.

  3. Automated reasoning - Wikipedia

    en.wikipedia.org/wiki/Automated_reasoning

    John Pollock's OSCAR system [2] is an example of an automated argumentation system that is more specific than being just an automated theorem prover. Tools and techniques of automated reasoning include the classical logics and calculi, fuzzy logic, Bayesian inference, reasoning with maximal entropy and many less formal ad hoc techniques.

  4. Stan (software) - Wikipedia

    en.wikipedia.org/wiki/Stan_(software)

    Stan is a probabilistic programming language for statistical inference written in C++. [2] The Stan language is used to specify a (Bayesian) statistical model with an imperative program calculating the log probability density function.

  5. Semantic reasoner - Wikipedia

    en.wikipedia.org/wiki/Semantic_reasoner

    Drools, a forward-chaining inference-based rules engine which uses an enhanced implementation of the Rete algorithm. Evrete, a forward-chaining Java rule engine that uses the Rete algorithm and is compliant with the Java Rule Engine API (JSR 94). D3web, a platform for knowledge-based systems (expert systems).

  6. Inference engine - Wikipedia

    en.wikipedia.org/wiki/Inference_engine

    The typical expert system consisted of a knowledge base and an inference engine. The knowledge base stored facts about the world. The inference engine applied logical rules to the knowledge base and deduced new knowledge. This process would iterate as each new fact in the knowledge base could trigger additional rules in the inference engine.

  7. Backward chaining - Wikipedia

    en.wikipedia.org/wiki/Backward_chaining

    An inference engine using backward chaining would search the inference rules until it finds one with a consequent (Then clause) that matches a desired goal. If the antecedent ( If clause) of that rule is not known to be true, then it is added to the list of goals (for one's goal to be confirmed one must also provide data that confirms this new ...

  8. Download, install, or uninstall AOL Desktop Gold

    help.aol.com/articles/aol-desktop-downloading...

    3. Click Download Now. 4. Follow the installation steps listed below. If you have an AOL Desktop Gold trial or subscription. 1. ... • Uninstall a program on Windows 10.

  9. Algorithmic inference - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_inference

    Algorithmic inference gathers new developments in the statistical inference methods made feasible by the powerful computing devices widely available to any data analyst. Cornerstones in this field are computational learning theory , granular computing , bioinformatics , and, long ago, structural probability ( Fraser 1966 ).