Title:

Story Telling as Planning and Learning

Author(s):

Lebowitz, Michael

Date:

1985

Type:

Technical reports

Department:

Computer Science

Permanent URL:

http://hdl.handle.net/10022/AC:P:11739

Series:

Columbia University Computer Science Technical Reports

Part Number:

CUCS-202-85

Publisher:

Department of Computer Science, Columbia University

Publisher Location:

New York

Abstract:

The generation of extended plots for melodramatic fiction is an interesting task for Artificial Intelligence research, one that requires the application of generalization techniques to carry out fully. UNIVERSE is a story-telling program that uses plan-like units, "plot fragments," to generate plot outlines. By using a rich library of plot fragments and a well-developed set of characters, UNIVERSE can create a wide range of plot outlines. In this paper we illustrate how UNIVERSE's plot fragment library is used to create plot outlines and how it might be automatically extended using explanation-based generalization methods. Our methods are based on analysis of a television melodrama, including comparisons of similar stories.

Subject(s):

Computer science
Artificial intelligence

Item views:

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Metadata:

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