This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating beliefs with individual (and consensual group) decision making and action based on belief awareness. Comments and criticisms are most welcome via email. The text introduces the conceptual (internalism, externalism), quantitative (probabilism) and logical perspectives (logics for reasoning about probabilities by Fagin, Halpern, Megiddo and MEL by Banerjee, Dubois) for the framework
There are two prominent ways of formally modelling human belief. One is in terms of plain beliefs (y...
Bayesian epistemologists support the norms of probabilism and conditionalization using Dutch book an...
The probabilistic approach to reasoning hypothesizes that most reasoning, both in everyday life and ...
This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating...
This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating...
We first describe a metric for uncertain probabilities called opinion, and subsequently a set of log...
Moss (2018) argues that rational agents are best thought of not as having degrees of belief in vario...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowled...
Updating beliefs to maintain coherence with observational evidence is a cornerstone of rationality. ...
Probability can be used to measure degree of belief in two ways: objectively and subjectively. The o...
AbstractThe paper builds a belief hierarchy as a framework common to all uncertainty measures expres...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
AbstractSince Pascal introduced the idea of mathematical probability in the 17th century discussions...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
There are two prominent ways of formally modelling human belief. One is in terms of plain beliefs (y...
Bayesian epistemologists support the norms of probabilism and conditionalization using Dutch book an...
The probabilistic approach to reasoning hypothesizes that most reasoning, both in everyday life and ...
This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating...
This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating...
We first describe a metric for uncertain probabilities called opinion, and subsequently a set of log...
Moss (2018) argues that rational agents are best thought of not as having degrees of belief in vario...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowled...
Updating beliefs to maintain coherence with observational evidence is a cornerstone of rationality. ...
Probability can be used to measure degree of belief in two ways: objectively and subjectively. The o...
AbstractThe paper builds a belief hierarchy as a framework common to all uncertainty measures expres...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
AbstractSince Pascal introduced the idea of mathematical probability in the 17th century discussions...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
There are two prominent ways of formally modelling human belief. One is in terms of plain beliefs (y...
Bayesian epistemologists support the norms of probabilism and conditionalization using Dutch book an...
The probabilistic approach to reasoning hypothesizes that most reasoning, both in everyday life and ...
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