Proceedings

Understanding Complex Situations

Download BibTeX Cite

Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .

© 1979 International Joint Conferences on Artificial Intelligence

Abstract

Natural language texts often refer to complex situations. Many of these situations involve relationsh ips 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.

  1. Bruce, B. and Newman, D. (1978) Interacting Plans. In Co nitive Science, vol. 2, no. 3.
  2. Charniak, E. 1978 . On the use of framed knowledge in language comprehension. To appear in Artificial Intelligence.
  3. Cullingford, R.E . (1978). Script applica- tion: Computer understanding of newspaper stories. Yale Univ. Research Report #116.
  4. Sacerdoti, E. (1977). A Structure for Plans and Behavior, Elsevier, Amsterdam.
  5. Schank, R.C . and Abelson, R.P. (1977), Scripts, Plans, Goals and Understanding, Lawrence Erlbaum Press, Hillsdale, N.J.
  6. Wilensky, R. (l978a). Understanding goal- based stories . Yale Technical Report 140.
  7. Wilensky, R. (l978b). Why John married Mary: Understanding stories involving recurring goals. In Cognitive Science, vol. 2, no. 3. Yale Technical Report.

References were extracted automatically from the PDF and may contain errors.

Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards