Planning children’s stories using agent models

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Conference Proceeding

Source Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

7457 LNAI

First Page

195

Last Page

208

Publication Date

1-1-2012

Abstract

Automatic story generation systems must consider both consistency and coherency issues in the stories that they produce. This paper discusses the different agent models adapted to enhance the planning process of Picture Books 2 to produce stories that contain a logical flow of events. Along with the agent models, the ontology structure utilized as the source of storytelling knowledge must be efficiently designed to support the tasks of the agents. Preliminary results show that the interaction among the agents enabled the story planner to perform better than the earlier version of Picture Books 2 in generating logical stories. © Springer-Verlag Berlin Heidelberg 2012.

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Digitial Object Identifier (DOI)

10.1007/978-3-642-32541-0_17

Disciplines

Computer Sciences

Keywords

Intelligent agents (Computer software); Natural language generation (Computer science); Authorship—Data processing

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