1 citations · 1 across the 1 of their papers we have counts for
5 papers
Probability Judgement in Artificial Intelligence
Glenn Shafer
This paper is concerned with two theories of probability judgment: the Bayesian theory and the theory of belief functions. It illustrates these theories with some simple examples a…
Propagation of Belief Functions: A Distributed Approach
Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli
In this paper, we describe a scheme for propagating belief functions in certain kinds of trees using only local computations. This scheme generalizes the computational scheme propo…
An Axiomatic Framework for Bayesian and Belief-function Propagation
Prakash P. Shenoy, Glenn Shafer
In this paper, we describe an abstract framework and axioms under which exact local computation of marginals is possible. The primitive objects of the framework are variables and v…
Valuation-Based Systems for Discrete Optimization
Prakash P. Shenoy, Glenn Shafer
This paper describes valuation-based systems for representing and solving discrete optimization problems. In valuation-based systems, we represent information in an optimization pr…
Insuring against loss of evidence in game-theoretic probability
A. Philip Dawid, Steven de Rooij, Glenn Shafer +3
We consider the game-theoretic scenario of testing the performance of Forecaster by Sceptic who gambles against the forecasts. Sceptic's current capital is interpreted as the amoun…