Gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. This work aims to present results illustrating such trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information.

Knowledge acquisition is one of the most important aspects influencing the quality of methods used in artificial intelligence and the reliability of expert systems. The various issues dealt with in this volume concern many different approaches to the handling of partial knowledge and to the ensuing methods for reasoning and decision making under uncertainty, as applied to problems in artificial intelligence. The volume is composed of the invited and contributed papers presented at the Workshop on Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, held at the Ettore...