Uncertainty in Artificial Intelligence

The workshop featured significant developments in application of theories of representation and reasoning under uncertainty. The effectiveness of these choices in AI systems tends to be best considered in terms of specific problem areas. Influence diagrams are emerging as a unifying representation, enabling tool development. Interest and results in uncertainty in AI are growing beyond the capacity of a workshop format.