You are here

FAU Collections » FAU Research Repository » FAU Theses and Dissertations

Generating narratives

Download pdf | Full Screen View

Date Issued:
2012
Summary:
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.
Title: Generating narratives: a pattern language.
131 views
70 downloads
Name(s): Greene, Samuel.
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Issued: 2012
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: xv, 106 p. : ill. (some col.)
Language(s): English
Summary: 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.
Identifier: 820353044 (oclc), 3355559 (digitool), FADT3355559 (IID), fau:3930 (fedora)
Note(s): by Samuel Greene.
Thesis (M.S.C.S.)--Florida Atlantic University, 2012.
Includes bibliography.
Mode of access: World Wide Web.
System requirements: Adobe Reader.
Subject(s): Computational intelligence
Pattern recognition systems
Computer vision
Artificial intelligence
Image processing -- Digital techiques
Persistent Link to This Record: http://purl.flvc.org/FAU/3355559
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU