Post-Narratology Through Computational and Cognitive Approaches
Core Reference Title

Post-Narratology Through Computational and Cognitive Approaches

Noted as an IGI Global Core Reference Title in Media & Communications for 2019.

Takashi Ogata (Iwate Prefectural University, Japan) and Taisuke Akimoto (Kyushu Institute of Technology, Japan)
Release Date: February, 2019|Copyright: © 2019 |Pages: 521
ISBN13: 9781522579793|ISBN10: 1522579796|EISBN13: 9781522579809|DOI: 10.4018/978-1-5225-7979-3


Studying narratives is an ideal method to gain a good understanding of how various aspects of human information are organized and integrated. The concept and methods of a narrative, which have been explored in narratology and literary theories, are likely to be connected with contemporary information studies in the future, including those in computational fields such as AI, and in cognitive science. This will result in the emergence of a significant conceptual and methodological foundation for various technologies of novel contents, media, human interface, etc.

Post-Narratology Through Computational and Cognitive Approaches explores the new possibilities and directions of narrative-related technologies and theories and their implications on the innovative design, development, and creation of future media and contents (such as automatic narrative or story generation systems) through interdisciplinary approaches to narratology that are dependent on computational and cognitive studies. While highlighting topics including artificial intelligence, narrative analysis, and rhetoric generation, this book is ideally designed for designers, creators, developers, researchers, and advanced-level students.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Cognitive Science
  • Computational Narrative
  • Digital Storytelling
  • Linguistics
  • Narrative Analysis
  • Narrative Generation Systems
  • Narrative Genres
  • Rhetoric Generation
  • Web Business Models

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Takashi Ogata, after receiving his bachelor of social science in Waseda University in 1983, he received his M.S. in Tsukuba University in 1992 and his Ph.D. in the University of Tokyo in 1995. He has industrial experience since 1983 at software development companies. Having experienced Associate Professor of the Faculty of Engineering at Yamanashi University since 1997, he is Professor of the Faculty of Software and Information Science at Iwate Prefectural University since 2005. His major research interests include artificial intelligence, cognitive science, natural language processing, narratology and literary theories, an interdisciplinary approach to the development of narrative generation systems based on AI and narratology, and the application to narrative creation and business. He is a member of the Japanese Society for Artificial Intelligence, the Japanese Cognitive Science Society (committee), and the Japanese Association for Natural Language Processing. He is also a main manager of Literature, Cognition and Computer research group at the JCSS. He received JSAI best paper award (1996), best paper award of Japan Academy of Advertising (1996), and other academic awards.