Rules, Belief Functions and Default Logic

03/27/2013
by   Nic Wilson, et al.
0

This paper describes a natural framework for rules, based on belief functions, which includes a repre- sentation of numerical rules, default rules and rules allowing and rules not allowing contraposition. In particular it justifies the use of the Dempster-Shafer Theory for representing a particular class of rules, Belief calculated being a lower probability given certain independence assumptions on an underlying space. It shows how a belief function framework can be generalised to other logics, including a general Monte-Carlo algorithm for calculating belief, and how a version of Reiter's Default Logic can be seen as a limiting case of a belief function formalism.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 7

research
03/20/2013

A Monte-Carlo Algorithm for Dempster-Shafer Belief

A very computationally-efficient Monte-Carlo algorithm for the calculati...
research
03/27/2013

Conditioning on Disjunctive Knowledge: Defaults and Probabilities

Many writers have observed that default logics appear to contain the "lo...
research
07/28/2011

Social choice rules driven by propositional logic

Several rules for social choice are examined from a unifying point of vi...
research
12/20/2018

Iterated Belief Revision Under Resource Constraints: Logic as Geometry

We propose a variant of iterated belief revision designed for settings w...
research
03/06/2013

The Probability of a Possibility: Adding Uncertainty to Default Rules

We present a semantics for adding uncertainty to conditional logics for ...
research
03/07/2000

The lexicographic closure as a revision process

The connections between nonmonotonic reasoning and belief revision are w...
research
07/24/2002

Evaluating Defaults

We seek to find normative criteria of adequacy for nonmonotonic logic si...

Please sign up or login with your details

Forgot password? Click here to reset