Accession Number:

ADP007099

Title:

Advances in Probabilistic Reasoning,

Descriptive Note:

Corporate Author:

NORTHROP RESEARCH AND TECHNOLOGY CENTER PALOS VERDES PENINSULA CA

Personal Author(s):

• Geiger, Dan
• Heckerman, David

Report Date:

1992-01-01

Pagination or Media Count:

8.0

Abstract:

This paper discusses multiple Bayesian networks representation paradigms for encoding, asymmetric independence assertions. We offer three contributions 1 an inference mechanism that makes explicit use of asymmetric independence to speed up computations, 2 a simplified definition of similarity networks and extensions of their theory, and 3 a generalized representation scheme that encodes more types of asymmetric independence assertions than do similarity networks.

Descriptors:

• *REASONING
• *PROBABILITY DISTRIBUTION FUNCTIONS
• CODING
• COMPUTATIONS
• NETWORKS
• THEORY
• VELOCITY
• BAYES THEOREM
• ASYMMETRY

Subject Categories:

• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE