For reasoning about uncertain situations, we have probability theory, and we have logics of knowledge and belief. How does elementary probability theory relate to epistemic logic and the logic of belief? The paper focuses on the notion of betting belief, and interprets a language for knowledge and belief in two kinds of models: epistemic neighbourhood models and epistemic probability models. It is shown that the first class of models is more general in the sense that every probability model gives rise to a neighbourhood model, but not vice versa. The basic calculus of knowledge and betting belief is incomplete for probability models. These formal results were obtained in Van Eijck and Renne [9]
This dissertation is a contribution to formal and computational philosophy. In ...
AbstractThis paper considers varieties of probabilism capable of distilling paradox-free qualitative...
The paper compares two kinds of models for logics of knowledge and belief, neighbourhood models and ...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
The talk will present epistemic probability models with probabilistic updates, and will dis-cuss an ...
We propose a logic for reasoning about (multi-agent) epistemic probability models, and for epistemic...
AbstractThe paper is an attempt to show that the formalism of subjective probability has a logical i...
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
The paper considers two kinds of models for logics of knowledge and be-lief, neighbourhood models an...
This dissertation is a contribution to formal and computational philosophy. In ...
This dissertation is a contribution to formal and computational philosophy. In ...
This dissertation is a contribution to formal and computational philosophy. In ...
This dissertation is a contribution to formal and computational philosophy. In ...
AbstractThis paper considers varieties of probabilism capable of distilling paradox-free qualitative...
The paper compares two kinds of models for logics of knowledge and belief, neighbourhood models and ...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
The talk will present epistemic probability models with probabilistic updates, and will dis-cuss an ...
We propose a logic for reasoning about (multi-agent) epistemic probability models, and for epistemic...
AbstractThe paper is an attempt to show that the formalism of subjective probability has a logical i...
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
The paper considers two kinds of models for logics of knowledge and be-lief, neighbourhood models an...
This dissertation is a contribution to formal and computational philosophy. In ...
This dissertation is a contribution to formal and computational philosophy. In ...
This dissertation is a contribution to formal and computational philosophy. In ...
This dissertation is a contribution to formal and computational philosophy. In ...
AbstractThis paper considers varieties of probabilism capable of distilling paradox-free qualitative...
The paper compares two kinds of models for logics of knowledge and belief, neighbourhood models and ...