Understanding Complex Situations
Abstract
Natural language texts often refer to complex situations. Many of these situations involve relationships between people's goals. In order to build a program that understands texts, it is necessary to give the program knowledge about goal relationships and the situations to which they give rise. This knowledge constitutes a theory of planning about real world situations. We have incorporated this theory of planning into a program called PAM (Plan Applier Mechanism). As a result we now have a natural language processing system that can comprehend many complicated dramatic situations.
Cite
Text
Wilensky. "Understanding Complex Situations." International Joint Conference on Artificial Intelligence, 1979.Markdown
[Wilensky. "Understanding Complex Situations." International Joint Conference on Artificial Intelligence, 1979.](https://mlanthology.org/ijcai/1979/wilensky1979ijcai-understanding/)BibTeX
@inproceedings{wilensky1979ijcai-understanding,
title = {{Understanding Complex Situations}},
author = {Wilensky, Robert},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1979},
pages = {954-959},
url = {https://mlanthology.org/ijcai/1979/wilensky1979ijcai-understanding/}
}