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Story Telling as Planning and Learning

Michael Lebowitz

Title:
Story Telling as Planning and Learning
Author(s):
Lebowitz, Michael
Date:
Type:
Technical reports
Department:
Computer Science
Permanent URL:
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:
105
Metadata:
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