Structural aggregation in common-sense reasoning

Authors:
Zheng-Yang Liu;Arthur M. Farley
Affiliations:
EDS Research, Austin Laboratory, Austin, Texas;Computer and Information Science, University of Oregon, Eugene, Oregon
Venue:
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Year:
1991

Citing 7
Cited 0

Qualitative analysis of MOS circuits

Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Diagnostic reasoning based on structure and behavior

Artificial Intelligence - Special volume on qualitative reasoning about physical systems
The use of design descriptions in automated diagnosis

Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Qualitative simulation

Artificial Intelligence
The use of aggregation in causal simulation

Artificial Intelligence
Qualitative reasoning about physical systems with multiple perspectives

Qualitative reasoning about physical systems with multiple perspectives
Granularity

IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1

Quantified Score

Hi-index	0.00

Visualization

Abstract

Structural aggreg:ation is an inherent aspect of our ability in reasoning about the real-world. In this paper, we present our investigation of structural aggregation to simplify domain models and suppress irrelevant details of complex physical systems. We address the role of clustering, cluster-orientation and creation of black boxes in qualitative causal reasoning. We describe algorithms that automate structural aggregation to achieve efficiency and clarity in planning and explanation of physical system behaviors.