Author Type

Graduate Student

Date of Award

2012

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Abstract

In order to facilitate the development, discussion, and advancement of the relatively new subfield of Artificial Intelligence focused on generating narrative content, the author has developed a pattern language for generating narratives, along with a new categorization framework for narrative generation systems. An emphasis and focus is placed on generating the Fabula of the story (the ordered sequence of events that make up the plot). Approaches to narrative generation are classified into one of three categories, and a pattern is presented for each approach. Enhancement patterns that can be used in conjunction with one of the core patterns are also identified. In total, nine patterns are identified - three core narratology patterns, four Fabula patterns, and two extension patterns. These patterns will be very useful to software architects designing a new generation of narrative generation systems.

Extent

xv, 106 p. : ill. (some col.)

Comments

by Samuel Greene.|Thesis (M.S.C.S.)--Florida Atlantic University, 2012.|Includes bibliography.|Mode of access: World Wide Web.|System requirements: Adobe Reader.|by Samuel Greene.

Identifier

FADT3355559

Format

pdf

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