We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
During the past decade, object-orientation (OO) has become the dominant software development methodology, accompanied by a number of modeling notations, programming languages, and...
This paper reviews algorithms for local computation with imprecise probabilities. These algorithms try to solve problems of inference calculation of conditional or unconditional p...
The use of approximation as a method for dealing with complex problems is a fundamental research issue in Knowledge Representation. Using approximation in symbolic AI is not strai...
This paper presents a new model of agency, called the KGP (Knowledge, Goals and Plan) model. This draws from the classic BDI model and proposes a hierarchical agent architecture wi...
Antonis C. Kakas, Paolo Mancarella, Fariba Sadri, ...