Connecting Lexicographic with Maximum Entropy Entailment

Authors:
Rachel A. Bourne;Simon Parsons
Affiliations:
-;-
Venue:
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Year:
1999

Citing 6
Cited 0

Nonmonotonic reasoning, preferential models and cumulative logics

Artificial Intelligence
What does a conditional knowledge base entail?

Artificial Intelligence
A Maximum Entropy Approach to Nonmonotonic Reasoning

IEEE Transactions on Pattern Analysis and Machine Intelligence
System Z: a natural ordering of defaults with tractable applications to nonmonotonic reasoning

TARK '90 Proceedings of the 3rd conference on Theoretical aspects of reasoning about knowledge
Inconsistency management and prioritized syntax-based entailment

IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Maximum entropy and variable strength defaults

IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper reviews and relates two default reasoning mechanisms, lexicographic (lex) and maximum entropy (me) entailment. Meentailment requires that defaults be assigned specific strengths and it is shown that lex-entailment can be equated to me-entailment for a class of specific strength assignments. By clarifying the assumptions which underlie lex-entailment, it is argued that me-entailment is a superior method of handling default inference for reasons of both expressiveness and objective justification.