In this paper I combine the dynamic epistemic logic of Gerbrandy (1999) with the probabilistic logic of Fagin and Halpern (1999). The result is a new probabilistic dynamic epistemic logic, a logic for reasoning about probability, information, and information change that takes higher order information into account. Probabilistic epistemic models are defined, and a way to build them for applications is given. Semantics and a proof system is presented and a number of examples are discussed, including the Monty Hall Dilemma
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
We present a proof-theoretical and model-theoretical approach to reasoning about knowledge and condi...
In this paper I combine the dynamic epistemic logic of Gerbrandy (1999) with the probabilistic logic...
This chapter surveys recent work on probabilistic extensions of epistemic and dynamic-epistemic logi...
consists of expansions of the well known dynamic epistemic logic in which the epistemic uncertainty ...
Current dynamic-epistemic logics model different types of information change in multi-agent scenario...
Current dynamic-epistemic logics model different types of information change in multi-agent scenario...
Abstract Dynamic epistemic logic, broadly conceived, is the study of rational so-cial interaction in...
We propose a logic for reasoning about (multi-agent) epistemic probability models, and for epistemic...
The talk will trace various connections between update, probability and belief. We look at various w...
AbstractA logic, PrDL, is presented, which enables formal reasoning about probabilistic programs or,...
The paper considers two kinds of models for logics of knowledge and be-lief, neighbourhood models an...
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
This contribution is a gentle introduction to so-called dynamic epistemic logics, that can describe ...
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
We present a proof-theoretical and model-theoretical approach to reasoning about knowledge and condi...
In this paper I combine the dynamic epistemic logic of Gerbrandy (1999) with the probabilistic logic...
This chapter surveys recent work on probabilistic extensions of epistemic and dynamic-epistemic logi...
consists of expansions of the well known dynamic epistemic logic in which the epistemic uncertainty ...
Current dynamic-epistemic logics model different types of information change in multi-agent scenario...
Current dynamic-epistemic logics model different types of information change in multi-agent scenario...
Abstract Dynamic epistemic logic, broadly conceived, is the study of rational so-cial interaction in...
We propose a logic for reasoning about (multi-agent) epistemic probability models, and for epistemic...
The talk will trace various connections between update, probability and belief. We look at various w...
AbstractA logic, PrDL, is presented, which enables formal reasoning about probabilistic programs or,...
The paper considers two kinds of models for logics of knowledge and be-lief, neighbourhood models an...
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
This contribution is a gentle introduction to so-called dynamic epistemic logics, that can describe ...
This talk proposes a logic for reasoning about (multi-agent) epistemic probability models, and for e...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
We present a proof-theoretical and model-theoretical approach to reasoning about knowledge and condi...