An intelligent agent will often be uncertain about various properties of its environment, and when acting in that environment it will frequently need to quantify its uncertainty. ...
An intelligent agent uses known facts, including statistical knowledge, to assign degrees of belief to assertions it is uncertain about. We investigate three principled techniques...
Fahiem Bacchus, Adam J. Grove, Daphne Koller, Jose...
In previous work [BGHK92, BGHK93], we have studied the random-worlds approach--a particular (and quite powerful) method for generating degrees of belief (i.e., subjective probabil...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
We describe a new approach to default reasoning, based on a principle of indi erence among possible worlds. We interpret default rules as extreme statistical statements, thus obta...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...