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Subjective logic, the Glossary

Index Subjective logic

Subjective logic is a type of probabilistic logic that explicitly takes epistemic uncertainty and source trust into account.[1]

Table of Contents

  1. 24 relations: Bayes' theorem, Bayesian network, Beta distribution, Contraposition, De Morgan's laws, Dempster–Shafer theory, Dirichlet distribution, Distributive property, Hypergeometric function, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Joint probability distribution, Logical conjunction, Logical disjunction, Modus ponens, Modus tollens, Negation, Probabilistic logic, Probability, State space (computer science), Tetrahedron, Trust metric, Uncertainty, Uncertainty quantification, Variance.

  2. Non-classical logic

Bayes' theorem

Bayes' theorem (alternatively Bayes' law or Bayes' rule, after Thomas Bayes) gives a mathematical rule for inverting conditional probabilities, allowing us to find the probability of a cause given its effect. Subjective logic and Bayes' theorem are Bayesian statistics.

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Bayesian network

A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).

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Beta distribution

In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval or (0, 1) in terms of two positive parameters, denoted by alpha (α) and beta (β), that appear as exponents of the variable and its complement to 1, respectively, and control the shape of the distribution.

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Contraposition

In logic and mathematics, contraposition, or transposition, refers to the inference of going from a conditional statement into its logically equivalent contrapositive, and an associated proof method known as.

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De Morgan's laws

In propositional logic and Boolean algebra, De Morgan's laws, also known as De Morgan's theorem, are a pair of transformation rules that are both valid rules of inference.

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Dempster–Shafer theory

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.

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Dirichlet distribution

In probability and statistics, the Dirichlet distribution (after Peter Gustav Lejeune Dirichlet), often denoted \operatorname(\boldsymbol\alpha), is a family of continuous multivariate probability distributions parameterized by a vector \boldsymbol\alpha of positive reals.

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Distributive property

In mathematics, the distributive property of binary operations is a generalization of the distributive law, which asserts that the equality x \cdot (y + z).

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Hypergeometric function

In mathematics, the Gaussian or ordinary hypergeometric function 2F1(a,b;c;z) is a special function represented by the hypergeometric series, that includes many other special functions as specific or limiting cases.

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International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems was founded in 1993 and is published bimonthly by World Scientific.

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Joint probability distribution

Given two random variables that are defined on the same probability space, the joint probability distribution is the corresponding probability distribution on all possible pairs of outputs.

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Logical conjunction

In logic, mathematics and linguistics, and (\wedge) is the truth-functional operator of conjunction or logical conjunction.

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Logical disjunction

In logic, disjunction, also known as logical disjunction or logical or or logical addition or inclusive disjunction, is a logical connective typically notated as \lor and read aloud as "or".

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Modus ponens

In propositional logic, modus ponens (MP), also known as modus ponendo ponens, implication elimination, or affirming the antecedent, is a deductive argument form and rule of inference.

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Modus tollens

In propositional logic, modus tollens (MT), also known as modus tollendo tollens (Latin for "method of removing by taking away") and denying the consequent, is a deductive argument form and a rule of inference.

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Negation

In logic, negation, also called the logical not or logical complement, is an operation that takes a proposition P to another proposition "not P", standing for "P is not true", written \neg P, \mathord P or \overline.

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Probabilistic logic

Probabilistic logic (also probability logic and probabilistic reasoning) involves the use of probability and logic to deal with uncertain situations. Subjective logic and probabilistic logic are non-classical logic.

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Probability

Probability is the branch of mathematics concerning events and numerical descriptions of how likely they are to occur.

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State space (computer science)

In computer science, a state space is a discrete space representing the set of all possible configurations of a "system".

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Tetrahedron

In geometry, a tetrahedron (tetrahedra or tetrahedrons), also known as a triangular pyramid, is a polyhedron composed of four triangular faces, six straight edges, and four vertices.

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Trust metric

In psychology and sociology, a trust metric is a measurement or metric of the degree to which one social actor (an individual or a group) trusts another social actor.

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Uncertainty

Uncertainty or incertitude refers to epistemic situations involving imperfect or unknown information.

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Uncertainty quantification

Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications.

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Variance

In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable.

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See also

Non-classical logic

References

[1] https://en.wikipedia.org/wiki/Subjective_logic

Also known as Evidence Based Subjective Logic, Evidence-based subjective logic, Subjective Bayesian networks, Subjective trust networks.