Probabilistic logic (also probability logic and probabilistic reasoning) involves the use of probability and logic to deal with uncertain situations. Probabilistic...

Probabilistic logic programming is a programming paradigm that combines logic programming with probabilities. Most approaches to probabilistic logic programming...

ACE) ProGolem Probabilistic inductive logic programming adapts the setting of inductive logic programming to learning probabilistic logic programs. It...

A probabilistic logic network (PLN) is a conceptual, mathematical and computational approach to uncertain inference. It was inspired by logic programming...

Probabilistic Soft Logic (PSL) is a statistical relational learning (SRL) framework for modeling probabilistic and relational domains. It is applicable...

Probabilistic logic programming is a programming paradigm that extends logic programming with probabilities. Most approaches to probabilistic logic programming...

Probabilistic argumentation refers to different formal frameworks pertaining to probabilistic logic. All share the idea that qualitative aspects can be...

probabilistic logic programming language that extends Prolog with probabilities. It minimally extends Prolog by adding the notion of a probabilistic fact...

A Markov logic network (MLN) is a probabilistic logic which applies the ideas of a Markov network to first-order logic, defining probability distributions...

most likely hypothesis that should be adopted. Subjective logic generalises probabilistic logic by including degrees of epistemic uncertainty in the input...

case of a more general logical data type—logic does not always need to be Boolean (see probabilistic logic). In programming languages with a built-in...

There are also examples of probabilistic reasoners, including non-axiomatic reasoning systems, and probabilistic logic networks. Notable semantic reasoners...

first-order logic to describe relational properties of a domain in a general manner (universal quantification) and draw upon probabilistic graphical models...

logical truth values yields a multi-valued logic, which forms the basis for fuzzy logic and probabilistic logic. In these interpretations, a value is interpreted...

either by signaling a failure or failing to terminate. In some cases, probabilistic algorithms are the only practical means of solving a problem. In common...

Subjective logic is a type of probabilistic logic that explicitly takes epistemic uncertainty and source trust into account. In general, subjective logic is suitable...

statistics to predict outcomes Probabilistic logic – Applications of logic under uncertainty Probabilistic proofs of non-probabilistic theorems Probability distribution –...

Logic is the study of correct reasoning. It includes both formal and informal logic. Formal logic is the study of deductively valid inferences or logical...

logical truth values yields a multi-valued logic, which forms the basis for fuzzy logic and probabilistic logic. In these interpretations, a value is interpreted...

have affinity for various antigens Polyvalent logic, a form of many-valued logic or probabilistic logic Polyvalent vaccine, a vaccine that can vaccinate...

combining logic programming, learning and probability, has given rise to the fields of statistical relational learning and probabilistic inductive logic programming...

A probabilistic proposition is a proposition with a measured probability of being true for an arbitrary person at an arbitrary time. They may be contrasted...

Retrieved 19 May 2016. De Raedt, Luc; Kimmig, Angelika (2015). "Probabilistic (logic) programming concepts". Machine Learning. 100 (1): 5–47. doi:10...

SAPHIRE is a probabilistic risk and reliability assessment software tool. SAPHIRE stands for Systems Analysis Programs for Hands-on Integrated Reliability...

more succinct than OBDDs. SDDs are used as a compilation target for probabilistic logic programs by the ProbLog 2 system since they support tractable (weighted)...

many-valued logic can be projected on scalar functions and generate a particular class of probabilistic logic with similarities with the many-valued logic of Reichenbach...

uncertain/unknown) to 1 (certain/known). In probabilistic logic networks, truth values are also given a probabilistic interpretation (i.e. truth values may...

Philosophy portal Categorical proposition Probabilistic proposition Hurley, Patrick J. (2014). A concise introduction to logic (12th ed.). Stamford, CT: Cengage...

to probabilistic Boolean networks and can, similarly, be used to model dynamical systems at steady-state. Recursive Bayesian estimation Probabilistic logic...

the orchid genus Pleione .pln, a file extension used by SilkTest Probabilistic logic network Planetary nebula Polish złoty, currency by ISO 4217 currency...