Structural Aggregation in Common-Sense Reasoning
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.
Cite
Text
Liu and Farley. "Structural Aggregation in Common-Sense Reasoning." AAAI Conference on Artificial Intelligence, 1991.Markdown
[Liu and Farley. "Structural Aggregation in Common-Sense Reasoning." AAAI Conference on Artificial Intelligence, 1991.](https://mlanthology.org/aaai/1991/liu1991aaai-structural/)BibTeX
@inproceedings{liu1991aaai-structural,
title = {{Structural Aggregation in Common-Sense Reasoning}},
author = {Liu, Zheng-Yang and Farley, Arthur M.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1991},
pages = {868-873},
url = {https://mlanthology.org/aaai/1991/liu1991aaai-structural/}
}