Subjective logic, the Glossary
Subjective logic is a type of probabilistic logic that explicitly takes epistemic uncertainty and source trust into account.[1]
Table of Contents
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.
- 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.
See Subjective logic and Bayes' theorem
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).
See Subjective logic and Bayesian network
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.
See Subjective logic and Beta distribution
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.
See Subjective logic and Contraposition
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.
See Subjective logic and De Morgan's laws
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.
See Subjective logic and Dempster–Shafer theory
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.
See Subjective logic and Dirichlet distribution
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).
See Subjective logic and Distributive property
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.
See Subjective logic and Hypergeometric function
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.
See Subjective logic and International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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.
See Subjective logic and Joint probability distribution
Logical conjunction
In logic, mathematics and linguistics, and (\wedge) is the truth-functional operator of conjunction or logical conjunction.
See Subjective logic and Logical conjunction
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".
See Subjective logic and Logical disjunction
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.
See Subjective logic and Modus ponens
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.
See Subjective logic and Modus tollens
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.
See Subjective logic and Negation
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.
See Subjective logic and Probabilistic logic
Probability
Probability is the branch of mathematics concerning events and numerical descriptions of how likely they are to occur.
See Subjective logic and Probability
State space (computer science)
In computer science, a state space is a discrete space representing the set of all possible configurations of a "system".
See Subjective logic and State space (computer science)
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.
See Subjective logic and Tetrahedron
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.
See Subjective logic and Trust metric
Uncertainty
Uncertainty or incertitude refers to epistemic situations involving imperfect or unknown information.
See Subjective logic and Uncertainty
Uncertainty quantification
Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications.
See Subjective logic and Uncertainty quantification
Variance
In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable.
See Subjective logic and Variance
See also
Non-classical logic
- Alternative semantics
- Circumscription (logic)
- Cirquent calculus
- Combs method
- Computability logic
- Connexive logic
- Default logic
- Defeasible logic
- Description logic
- Deviant logic
- Dialetheism
- Dynamic logic (modal logic)
- Dynamic semantics
- Free logic
- Fuzzy logic
- Independence-friendly logic
- Infinitary logic
- Inquisitive semantics
- Intensional logic
- Intermediate logic
- Intuitionism
- Intuitionistic logic
- Journal of Applied Non-Classical Logics
- Kripke semantics
- Linear logic
- Many-valued logic
- Material inference
- Modal fallacy
- Modal logic
- Nixon diamond
- Non-classical logic
- Non-monotonic logic
- Noneism
- Paraconsistent logic
- Plausible reasoning
- Preferential entailment
- Probabilistic logic
- Probabilistic logic network
- Quantum logic
- Rational consequence relation
- Relevance logic
- Rvachev function
- SQLf
- Schrödinger logic
- Subjective logic
- Substructural logic
- Temperature paradox
- The World of Null-A
- Trivialism
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.