A Constraint Propagation Approach to Probabilistic Reasoning

03/27/2013
by   Judea Pearl, et al.
0

The paper demonstrates that strict adherence to probability theory does not preclude the use of concurrent, self-activated constraint-propagation mechanisms for managing uncertainty. Maintaining local records of sources-of-belief allows both predictive and diagnostic inferences to be activated simultaneously and propagate harmoniously towards a stable equilibrium.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 6

page 8

page 9

page 12

research
01/16/2013

Probabilistic Arc Consistency: A Connection between Constraint Reasoning and Probabilistic Reasoning

We document a connection between constraint reasoning and probabilistic ...
research
01/10/2013

Hybrid Processing of Beliefs and Constraints

This paper explores algorithms for processing probabilistic and determin...
research
03/20/2013

Constraint Propagation with Imprecise Conditional Probabilities

An approach to reasoning with default rules where the proportion of exce...
research
04/12/2017

Beliefs in Markov Trees - From Local Computations to Local Valuation

This paper is devoted to expressiveness of hypergraphs for which uncerta...
research
11/13/1998

The Essence of Constraint Propagation

We show that several constraint propagation algorithms (also called (loc...
research
09/30/1998

A role of constraint in self-organization

In this paper we introduce a neural network model of self-organization. ...
research
09/08/1999

The Rough Guide to Constraint Propagation

We provide here a simple, yet very general framework that allows us to e...

Please sign up or login with your details

Forgot password? Click here to reset