AbstractIn the nineteen sixties seminal work was done by Gaifman and then Scott and Krauss in adapting the concepts, tools and procedures of the model theory of modern logic to provide a corresponding model theory in which notions of probabilistic consistency and consequence are defined analogously to the way they are defined (semantically) in the deductive case. The present paper proposes a way of extending these ideas beyond the bounds of a formalised language, even the infinitary language of Scott and Krauss, to achieve a logic having the power and expressiveness of the modern mathematical theory of probability
The book extends the development of probability logic_a logic using probability, not verity (true, f...
AbstractOf all scientific investigations into reasoning with uncertainty and chance, probability the...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
In the nineteen sixties seminal work was done by Gaifman and then Scott and Krauss in adapting the c...
AbstractIn the nineteen sixties seminal work was done by Gaifman and then Scott and Krauss in adapti...
I examine the idea of incorporating probability into logic for a logic of practical reasoning. I int...
1 Uncertain knowledge can be modeled by using graded probabilities rather than binary truth-values, ...
Logic and Probability, as theories, have been developed quite independently and, with a few exceptio...
The propositional language extended by two families of unary propositional probability operators and...
While in principle probabilistic logics might be applied to solve a range of problems, in practice t...
Part1. Subjective and objective interpretations of probability are described. The organization of th...
Steffen Michels Hybrid Probabilistic Logics: Theoretical Aspects, Algorithms and Experiments Probabi...
This review addresses the long-standing puzzle of how logic and probability fit together in human re...
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoni...
The talk will present epistemic probability models with probabilistic updates, and will dis-cuss an ...
The book extends the development of probability logic_a logic using probability, not verity (true, f...
AbstractOf all scientific investigations into reasoning with uncertainty and chance, probability the...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
In the nineteen sixties seminal work was done by Gaifman and then Scott and Krauss in adapting the c...
AbstractIn the nineteen sixties seminal work was done by Gaifman and then Scott and Krauss in adapti...
I examine the idea of incorporating probability into logic for a logic of practical reasoning. I int...
1 Uncertain knowledge can be modeled by using graded probabilities rather than binary truth-values, ...
Logic and Probability, as theories, have been developed quite independently and, with a few exceptio...
The propositional language extended by two families of unary propositional probability operators and...
While in principle probabilistic logics might be applied to solve a range of problems, in practice t...
Part1. Subjective and objective interpretations of probability are described. The organization of th...
Steffen Michels Hybrid Probabilistic Logics: Theoretical Aspects, Algorithms and Experiments Probabi...
This review addresses the long-standing puzzle of how logic and probability fit together in human re...
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoni...
The talk will present epistemic probability models with probabilistic updates, and will dis-cuss an ...
The book extends the development of probability logic_a logic using probability, not verity (true, f...
AbstractOf all scientific investigations into reasoning with uncertainty and chance, probability the...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...