Probabilistic logic information

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...

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

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...

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

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...

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

already implements the Rete algorithm) to make it support probabilistic logic, like fuzzy logic and Bayesian networks. Action selection mechanism Inference...

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

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

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

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...

modelling that uses statistics to predict outcomes Probabilistic logic – use of probability and logic to deal with uncertain situationsPages displaying...

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...

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

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...

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...

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)...

Principles of Mathematical Logic -- Prior Analytics -- Private Eye Project -- Pro hominem -- Probabilistic logic -- Probabilistic logic network -- Problem of...

Probabilistic Computation Tree Logic (PCTL) is an extension of computation tree logic (CTL) that allows for probabilistic quantification of described...

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...

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

inference and chaining. An implementation of a probabilistic reasoning engine based on probabilistic logic networks (PLN). The current implementation uses...

but an inference engine to automate probabilistic reasoning—a kind of Prolog for probability instead of logic. Bayesian programming is a formal and...

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