High-probabilities, model-preference and default arguments

Minds and Machines 2 (1):51-70 (1992)
Abstract
In this paper we analyze two recent conditional interpretations of defaults, one based on probabilities, and the other, on models. We study what makes them equivalent, explore their limitations and develop suitable extensions. The resulting framework ties together a number of important notions in default reasoning, like high-probabilities and model-preference, default priorities and argument systems, and independence assumptions and minimality considerations.
Keywords Default reasoning  non-monotonic logic  preferred models
Categories (categorize this paper)
DOI 10.1007/BF00261289
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history
Request removal from index
Download options
Our Archive


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 29,511
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA

No references found.

Add more references

Citations of this work BETA
Two Concepts of Plausibility in Default Reasoning.Hans Rott - 2013 - Erkenntnis 79 (S6):1219–1252.

Add more citations

Similar books and articles
Added to PP index
2009-01-28

Total downloads
8 ( #498,611 of 2,180,707 )

Recent downloads (6 months)
1 ( #301,383 of 2,180,707 )

How can I increase my downloads?

Monthly downloads
My notes
Sign in to use this feature


Discussion
Order:
There  are no threads in this forum
Nothing in this forum yet.

Other forums