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  2. Logical reasoning - Wikipedia

    en.wikipedia.org/wiki/Logical_reasoning

    A rule of inference is a scheme of drawing conclusions that depends only on the logical form of the premises and the conclusion but not on their specific content. [39] [40] The most-discussed rule of inference is the modus ponens. It has the following form: p; if p then q; therefore q. This scheme is deductively valid no matter what p and q ...

  3. Jumping to conclusions - Wikipedia

    en.wikipedia.org/wiki/Jumping_to_conclusions

    Jumping to conclusions (officially the jumping conclusion bias, often abbreviated as JTC, and also referred to as the inference-observation confusion [1]) is a psychological term referring to a communication obstacle where one "judge[s] or decide[s] something without having all the facts; to reach unwarranted conclusions".

  4. Inference - Wikipedia

    en.wikipedia.org/wiki/Inference

    Additionally, the term 'inference' has also been applied to the process of generating predictions from trained neural networks. In this context, an 'inference engine' refers to the system or hardware performing these operations. This type of inference is widely used in applications ranging from image recognition to natural language processing.

  5. Arbitrary inference - Wikipedia

    en.wikipedia.org/wiki/Arbitrary_inference

    Arbitrary inference is a classic tenet of cognitive therapy created by Aaron T. Beck in 1979. [1] He defines the act of making an arbitrary inference as the process of drawing a conclusion without sufficient evidence, or without any evidence at all.

  6. List of rules of inference - Wikipedia

    en.wikipedia.org/wiki/List_of_rules_of_inference

    Rules of inference are syntactical transform rules which one can use to infer a conclusion from a premise to create an argument. A set of rules can be used to infer ...

  7. Informal inferential reasoning - Wikipedia

    en.wikipedia.org/wiki/Informal_Inferential_Reasoning

    In statistics education, informal inferential reasoning (also called informal inference) refers to the process of making a generalization based on data (samples) about a wider universe (population/process) while taking into account uncertainty without using the formal statistical procedure or methods (e.g. P-values, t-test, hypothesis testing, significance test).

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  9. 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 ...