This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating beliefs\ud with individual (and consensual group) decision making and action based on belief awareness. Comments and\ud criticisms are most welcome via email.\ud \ud Starting with a thorough discussion of the conceptual embedding in existing schools of thought and liter-\ud ature we develop a framework that aims to be empirically adequate yet scalable to epistemic states where an\ud agent might testify to uncertainly believe a propositional formula based on the acceptance that a propositional\ud formula is possible, called accepted truth. The familiarity of human agents with probability assignments make\ud probabilism particularly appealing ...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
I propose the notion of ‘epistemic sanity’, a property of parsimony between the holding of true but ...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
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...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowled...
We model practical certainty in the language of accept & reject statement-based uncertainty models. ...
Moss (2018) argues that rational agents are best thought of not as having degrees of belief in vario...
Probability can be used to measure degree of belief in two ways: objectively and subjectively. The o...
Bayesian epistemologists support the norms of probabilism and conditionalization using Dutch book an...
AbstractThe paper builds a belief hierarchy as a framework common to all uncertainty measures expres...
In multi-agent systems, the knowledge of agents about other agents??? knowledge often plays a pivota...
The problem of modeling uncertainty and inexact reasoning in rule-based expert systems is challengin...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
I propose the notion of ‘epistemic sanity’, a property of parsimony between the holding of true but ...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
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...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowled...
We model practical certainty in the language of accept & reject statement-based uncertainty models. ...
Moss (2018) argues that rational agents are best thought of not as having degrees of belief in vario...
Probability can be used to measure degree of belief in two ways: objectively and subjectively. The o...
Bayesian epistemologists support the norms of probabilism and conditionalization using Dutch book an...
AbstractThe paper builds a belief hierarchy as a framework common to all uncertainty measures expres...
In multi-agent systems, the knowledge of agents about other agents??? knowledge often plays a pivota...
The problem of modeling uncertainty and inexact reasoning in rule-based expert systems is challengin...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
I propose the notion of ‘epistemic sanity’, a property of parsimony between the holding of true but ...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...