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Plausible reasoning can be used to fill in implicit premises in incomplete arguments. Plausible reasoning is commonly based on appearances from perception. Stability is an important characteristic of plausible reasoning. Plausible reasoning can be tested, and by this means, confirmed or refuted. Probing into plausible reasoning in a dialogue is ...
A knowledge base of facts and rules is needed, but some of them may be uncertain because there may be a probability associated to using them for inference. Therefore, we can also refer to this as plausible inference. The plausibility of an inference is a function of the plausibility of each query assertion. Rather than retrieving a document ...
The above example highlights the power of the influence diagram in representing an extremely important concept in decision analysis known as the value of information. Consider the following three scenarios; Scenario 1: The decision-maker could make their Vacation Activity decision while knowing what Weather Condition will be like.
Deductive reasoning in this mode of inquiry will sometimes be replaced by abductive reasoning—the search for the most plausible explanation via logical inference. For example in biology, where general laws are few, [131] as valid deductions rely on solid presuppositions. [122]
For example, even choosing a very low probability of Linda's being a bank teller, say Pr(Linda is a bank teller) = 0.05 and a high probability that she would be a feminist, say Pr(Linda is a feminist) = 0.95, then, assuming these two facts are independent of each other, Pr(Linda is a bank teller and Linda is a feminist) = 0.05 × 0.95 or 0.0475 ...
that “they” should manage our rights, the way we hire a professional to do our taxes; “they” should run the government, create policy, worry about whether democracy is up and running.
There are a few foods you may want to skip on Thanksgiving if you're taking a GLP-1 medication such as Ozempic, dietician Kylie Bensley, founder of the women’s nutrition company, Sulinu, tells ...
Arthur P. Dempster at the Workshop on Theory of Belief Functions (Brest, 1 April 2010).. The theory of belief functions, also referred to as evidence theory or Dempster–Shafer theory (DST), is a general framework for reasoning with uncertainty, with understood connections to other frameworks such as probability, possibility and imprecise probability theories.