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...
Two different ways of defining ad-hoc polymorphic operations commonly occur in programming languages. With the first form polymorphic operations are defined inductively on the...
This paper is concerned with the problem of intrinsically assigning meaning to the signals responsible for autonomic responses in a system. Without an associated cognitive system,...
Martin Randles, A. Taleb-Bendiab, Philip Miseldine
In this paper we describe a framework for reasoning about temporal explanation problems, which is based on our previous work on model-based diagnosis of dynamic systems. We use an ...
When reasoning about actions and sensors in realistic domains, the ability to cope with uncertainty often plays an essential role. Among the approaches dealing with uncertainty, t...