Decision under Uncertainty

03/27/2013
by   Philippe Smets, et al.
0

We derive axiomatically the probability function that should be used to make decisions given any form of underlying uncertainty.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

03/27/2013

Knowledge and Uncertainty

One purpose -- quite a few thinkers would say the main purpose -- of see...
03/20/2013

Probability Estimation in Face of Irrelevant Information

In this paper, we consider one aspect of the problem of applying decisio...
03/27/2013

Strong & Weak Methods: A Logical View of Uncertainty

The last few years has seen a growing debate about techniques for managi...
09/05/2013

Weighted regret-based likelihood: a new approach to describing uncertainty

Recently, Halpern and Leung suggested representing uncertainty by a weig...
09/13/2021

Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty

We propose SLTD (`Sequential Learning-to-Defer') a framework for learnin...
07/06/2021

Effect of uncertainty visualizations on myopic loss aversion and equity premium puzzle in retirement investment decisions

For many households, investing for retirement is one of the most signifi...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.