Introduction
This book is an enhanced version that inherits the construction and topics of the previous book, “Computational and Cognitive Approaches to Narratology” (2016).
As described in the “preface” of “Computational and Cognitive Approaches to Narratology,” as a general perspective, studying narratives is the best method to gain a good understanding of how various aspects of human information are organized and integrated. The narrator employs specific informational methods to build the whole structure of a narrative by combining temporally constructed events considering an array of relationships to the narratee. These methods reveal the interaction of the rational and sensitive aspects of human information. Therefore, a wide variety of narrative contents has been created thus far, along with many types of media. We can now expect that the concept and methods of a narrative, which have been explored in narratology and literary theories, are to be connected with contemporary information studies in the future including those in computational fields such as AI, and in cognitive fields, such as 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. This book 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, i.e., “computational and cognitive approaches to narratology.”

Objective
Advanced content generation and narrative/story generation have been an important and valuable topic in the fields of AI, cognitive science, information technology, neuroscience, and deep learning. This book describes the current academic status of narrative generation technologies. However, the significant benefits of this book are different from other related books in that it handles narrative genres in a wider range as well as many related academic genres as an interdisciplinary approach, including narratology, literary theories, and the social sciences such as marketing and advertising fields. This research locates the problem of narrative content generation in the framework of general human communication.

Target Audience
The following groups will find this text useful in increasing their research exposure to pertinent and interdisciplinary topics in “computational and cognitive approaches to narratology” and in furthering their own research efforts in this field:
1. Researchers and advanced-level students of information technologies and cognitive studies (including AI, cognitive science, narrative or story generation, natural language comprehension and generation, computational creativity, communication study, media study, neuroscience, etc.)
2. Researchers and advanced-level students of literary studies (including narratology, discourse theory, rhetoric, poetics, semiotics, linguistics, film theory, etc.)
3. Designers, creators, developers, researchers, and advanced-level students of advanced digital content design and development (including computer game, interactive storytelling, automated content generation, human interface, the Web design, etc.)

Recommended Topics
Contributors are welcome to submit chapters on the following various topics relating to computational and cognitive approaches to narratology: narrative or story generation systems, narrative and rhetorical analysis, theories and systems relevant to the interdisciplinary narrative approaches, narrative-based human creativity support, and social aspects of narrative-based technologies.
- Systems/Technologies/Theories for Narrative/Story Generation
- Systems/Technologies/Theories for Narrative/Story-based Applications for Art and Entertainment, Literature, Education, Marketing and Advertisement, etc.
- Systems/Technologies/Theories for Rhetoric Generation (Metaphor, Language, Film, etc.)
- Systems/Technologies/Theories for Narrative/Story-based Content Generation (Music, Image, Comic, CM, etc.)
- Computational/Cognitive/Narratological/Structural/Knowledge/Language/ Statistical Analysis of Narratives, Stories, Rhetoric, etc. in Various Narrative Genres
- Social-level Analysis of Narrative Production Organizations and Mechanisms in Various Narrative Genres
- Theoretical/Practical/Experimental Studies for Integrating Narratology/Literary Theories into Information Technologies such as AI and Cognitive Science
- Systems/Technologies/Theories for Narrative/Story-based Idea Formation, Creativity Support, and User Interface
- Systems/Technologies/Theories for Social Production and Distribution of Narrative/Story Generation and Narrative/Story-based Content Creation
- Web Business Models and Systems for/based on Narrative/Story-based Systems or Technologies
- Computational/Cognitive Expansion or Elaboration of Narratology

Submission Procedure
Researchers and practitioners are invited to submit on or before June 25, 2018, 1,000 to 2,000 words chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by July 5, 2018 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by August 25, 2018, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery®TM online submission manager.

Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2019.

Important Dates
June 25, 2018: Proposal Submission Deadline
July 5, 2018: Notification of Acceptance
August 25, 2018: Full Chapter Submission
September 25, 2018: Review Results Returned
October 25, 2018: Final Chapter Submission

Submission:
https://www.igi-global.com/publish/call-for-papers/call-details/3381