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The approximate reasoning formalism proposed by fuzzy logic can be used to obtain a logic in which the models are the probability distributions and the theories are the lower envelopes. [7] In such a logic the question of the consistency of the available information is strictly related with the one of the coherence of partial probabilistic ...
The following relate to prospect theory: Ambiguity effect, the tendency to avoid options for which the probability of a favorable outcome is unknown. [70] Disposition effect, the tendency to sell an asset that has accumulated in value and resist selling an asset that has declined in value.
It overlaps with psychology, philosophy, linguistics, cognitive science, artificial intelligence, logic, and probability theory. Psychological experiments on how humans and other animals reason have been carried out for over 100 years. An enduring question is whether or not people have the capacity to be rational.
Probabilistic logic programming is a programming paradigm that combines logic programming with probabilities.. Most approaches to probabilistic logic programming are based on the distribution semantics, which splits a program into a set of probabilistic facts and a logic program.
[notes 1] [3] [notes 2] This has since become known as a "logical-relationist" approach, [5] [notes 3] and become regarded as the seminal and still classic account of the logical interpretation of probability (or probabilistic logic), a view of probability that has been continued by such later works as Carnap's Logical Foundations of ...
A probabilistic logic network (PLN) is a conceptual, mathematical and computational approach to uncertain inference. It was inspired by logic programming and it uses probabilities in place of crisp (true/false) truth values, and fractional uncertainty in place of crisp known/unknown values .
The name "probabilistic argumentation" has been used to refer to a particular theory of reasoning that encompasses uncertainty and ignorance, combining probability theory and deductive logic (Haenni, Kohlas & Lehmann 2000). OpenPAS is an open-source implementation of such a probabilistic argumentation system.
In deductive probability theories, probabilities are absolutes, independent of the individual making the assessment. But deductive probabilities are based on, Shared knowledge. Assumed facts, that should be inferred from the data. For example, in a trial the participants are aware the outcome of all the previous history of trials.