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probabilistic logic

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  • Probabilistic logic — The aim of a probabilistic logic (or probability logic) is to combine the capacity of probability theory to handle uncertainty with the capacity of deductive logic to exploit structure. The result is a richer and more expressive formalism with a… …   Wikipedia

  • probabilistic logic — tikimybinė logika statusas T sritis automatika atitikmenys: angl. probabilistic logic vok. Wahrscheinlichkeitslogik, f rus. вероятностная логика, f pranc. logique stochastique, f ryšiai: sinonimas – stochastinė logika …   Automatikos terminų žodynas

  • Probabilistic argumentation — is a general theory of reasoning under uncertainty and ignorance. It combines the fields of probability theory and deductive logic, making it a probabilistic logic Harv|Haenni|Kohlas|Lehmann|2000. References …   Wikipedia

  • Probabilistic CTL — Probabilistic Computation Tree Logic is an extension of CTL which allows for probabilistic quantification of described properties. It has been defined in the paper by [http://citeseer.ist.psu.edu/hansson94logic.html Hansson and Jonsson] .PCTL is… …   Wikipedia

  • Logic programming — is, in its broadest sense, the use of mathematical logic for computer programming. In this view of logic programming, which can be traced at least as far back as John McCarthy s [1958] advice taker proposal, logic is used as a purely declarative… …   Wikipedia

  • logic, history of — Introduction       the history of the discipline from its origins among the ancient Greeks to the present time. Origins of logic in the West Precursors of ancient logic       There was a medieval tradition according to which the Greek philosopher …   Universalium

  • Fuzzy logic — is a form of multi valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. Just as in fuzzy set theory the set membership values can range (inclusively) between 0 and 1, in fuzzy logic the degree …   Wikipedia

  • Subjective logic — is a type of probabilistic logic that explicitly takes uncertainty and belief ownership into account. In general, subjective logic is suitable for modeling and analysing situations involving uncertainty and incomplete knowledgeA. Jøsang.… …   Wikipedia

  • Markov logic network — A Markov logic network (or MLN) is a probabilistic logic which applies the ideas of a Markov network to first order logic, enabling uncertain inference. Markov logic networks generalize first order logic, in the sense that, in a certain limit,… …   Wikipedia

  • Abductive logic programming — is a high level knowledge representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal Logic Programming by allowing some predicates to be incompletely defined, declared as abducible… …   Wikipedia

  • Hegel’s logic and philosophy of mind — Willem deVries LOGIC AND MIND IN HEGEL’S PHILOSOPHY Hegel is above all a systematic philosopher. Awe inspiring in its scope, his philosophy left no subject untouched. Logic provides the central, unifying framework as well as the general… …   History of philosophy

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