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  2. Argument map - Wikipedia

    en.wikipedia.org/wiki/Argument_map

    An argument map with 'modus ponens' in the inference box. An inference can be the target of an objection. Such inference objections highlight invalid or weak inferences. [12] [13] In the diagram below, B is the premise, A is the conclusion, and C is an objection to the inference from A to B. Argument map of an inference objection.

  3. Existential graph - Wikipedia

    en.wikipedia.org/wiki/Existential_graph

    Rules of inference: Insertion - Any subgraph may be inserted into an odd numbered depth. The surrounding white page is depth 1. Depth 2 are the black letters and lines that encircle elements. Depth 3 is entering the next white area in an enclosed element. Erasure - Any subgraph in an even numbered depth may be erased. Rules of equivalence:

  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. Influence diagram - Wikipedia

    en.wikipedia.org/wiki/Influence_diagram

    An influence diagram (ID) (also called a relevance diagram, decision diagram or a decision network) is a compact graphical and mathematical representation of a decision situation.

  6. Causal graph - Wikipedia

    en.wikipedia.org/wiki/Causal_graph

    Causal graphs can be used for communication and for inference. They are complementary to other forms of causal reasoning, for instance using causal equality notation. As communication devices, the graphs provide formal and transparent representation of the causal assumptions that researchers may wish to convey and defend.

  7. Statistical inference - Wikipedia

    en.wikipedia.org/wiki/Statistical_inference

    Statistical inference makes propositions about a population, using data drawn from the population with some form of sampling.Given a hypothesis about a population, for which we wish to draw inferences, statistical inference consists of (first) selecting a statistical model of the process that generates the data and (second) deducing propositions from the model.

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  9. 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 any valid conclusion if it is complete, while never inferring an invalid conclusion, if it is sound.