We offer a view on how probability is related to logic. Specifically, we argue against the widely held belief that standard classical logics have no direct way of modelling the certainty of assumptions in theories and no direct way of stating the certainty of theorems proved from these (uncertain) assumptions. The argument rests on the observation that probability densities, being functions, can be represented and reasoned with naturally and directly in (classical) higher-order logic
Abstract. Reasoning within such domains as engineering, science, management, or medicine is traditio...
The complexity of the real world and the restricted availability of knowledge call for powerful log...
This paper proposes a common framework for various probabilistic logics. It consists of a set of unc...
AbstractWe offer a view on how probability is related to logic. Specifically, we argue against the w...
This paper provides a study of probabilistic modelling, inference and learning in a logic-based sett...
I examine the idea of incorporating probability into logic for a logic of practical reasoning. I int...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoni...
The text of the paper corresponds to the author's invited contribution to the Workshop on "Aspects o...
Steffen Michels Hybrid Probabilistic Logics: Theoretical Aspects, Algorithms and Experiments Probabi...
I argue that a probabilistic logical language incorporates all the features of deductive, inductive,...
AbstractProbability is usually closely related to Boolean structures, i.e., Boolean algebras or prop...
It is necessary to distinguish the logic of certainty from the logic of probable. By fusing together...
This review addresses the long-standing puzzle of how logic and probability fit together in human re...
We propose a general scheme for adding probabilistic reasoning capabilities to a wide variety of kno...
Abstract. Reasoning within such domains as engineering, science, management, or medicine is traditio...
The complexity of the real world and the restricted availability of knowledge call for powerful log...
This paper proposes a common framework for various probabilistic logics. It consists of a set of unc...
AbstractWe offer a view on how probability is related to logic. Specifically, we argue against the w...
This paper provides a study of probabilistic modelling, inference and learning in a logic-based sett...
I examine the idea of incorporating probability into logic for a logic of practical reasoning. I int...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoni...
The text of the paper corresponds to the author's invited contribution to the Workshop on "Aspects o...
Steffen Michels Hybrid Probabilistic Logics: Theoretical Aspects, Algorithms and Experiments Probabi...
I argue that a probabilistic logical language incorporates all the features of deductive, inductive,...
AbstractProbability is usually closely related to Boolean structures, i.e., Boolean algebras or prop...
It is necessary to distinguish the logic of certainty from the logic of probable. By fusing together...
This review addresses the long-standing puzzle of how logic and probability fit together in human re...
We propose a general scheme for adding probabilistic reasoning capabilities to a wide variety of kno...
Abstract. Reasoning within such domains as engineering, science, management, or medicine is traditio...
The complexity of the real world and the restricted availability of knowledge call for powerful log...
This paper proposes a common framework for various probabilistic logics. It consists of a set of unc...