4.5k citations · 5.3k across the 12 of their papers we have counts for
11 papers · 1 filter
Exact Reasoning Under Uncertainty
Samuel Holtzman, John S. Breese
This paper focuses on designing expert systems to support decision making in complex, uncertain environments. In this context, our research indicates that strictly probabilistic re…
Integrating Logical and Probabilistic Reasoning for Decision Making
John S. Breese, Edison Tse
We describe a representation and a set of inference methods that combine logic programming techniques with probabilistic network representations for uncertainty (influence diagrams…
Decision-Theoretic Control of Problem Solving: Principles and Architecture
John S. Breese, Michael R. Fehling
This paper presents an approach to the design of autonomous, real-time systems operating in uncertain environments. We address issues of problem solving and reflective control of r…
The Compilation of Decision Models
David Heckerman, John S. Breese, Eric J. Horvitz
We introduce and analyze the problem of the compilation of decision models from a decision-theoretic perspective. The techniques described allow us to evaluate various configuratio…
Interval Influence Diagrams
Kenneth W. Fertig, John S. Breese
We describe a mechanism for performing probabilistic reasoning in influence diagrams using interval rather than point valued probabilities. We derive the procedures for node remova…
IDEAL: A Software Package for Analysis of Influence Diagrams
Sampath Srinivas, John S. Breese
IDEAL (Influence Diagram Evaluation and Analysis in Lisp) is a software environment for creation and evaluation of belief networks and influence diagrams. IDEAL is primarily a rese…