People frequently complain that it is too difficult to figure out how to get computers to do what they want. However, with a computer system that actually tries to understand what...
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
The experiments described here have been done in connection with the LS-GRAM project, which is concerned with the development of large scale grammars and thus foreseen the coverag...
This paper represents a beginning development of a parallel truth maintenance system to interact with a parallel inference engine. We present a solution which performs status assi...
Abstract. We study the decision theory of a maximally risk-averse investor — one whose objective, in the face of stochastic uncertainties, is to minimize the probability of ever ...
Noam Berger, Nevin Kapur, Leonard J. Schulman, Vij...