on through abstract instructions which approximate, but do not duplicate, the behavior of actual machines. Because they are designed for use in a variety of educational settings, C...
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
In this article, we propose a new approach for querying and indexing a database of trees with specific applications to XML datasets. Our approach relies on representing both the q...
This paper briefly outlines the main characteristics of an ongoing research aimed at developing a support library for implementing systems based on autonomous agents. The library ...