In recent years it has become apparent that an important
part of the theory of artificial intelligence is concerned
with reasoning on the basis of uncertain, incomplete, or
inconsistent information. A variety of formalisms have been
developed, including nonmonotonic logic, fuzzy sets,
possibility theory, belief functions, and dynamic models of
reasoning such as belief revision and Bayesian networks.
Several European research projects have been formed in the
area and the first European conference was held in 1991.
This volume contains the papers accepted for presentation at
ECSQARU-93, the European Conference on Symbolicand
Quantitative Approaches to Reasoning and Uncertainty, held
at the University of Granada, Spain, November 8-10, 1993.