Bridging the Gap Between Ai, Cognitive Science, and Narratology With Narrative Generation

About the Author 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. Product Description The use of cognitive science in creating stories, languages, visuals, and characters is known as narrative generation, and it has become a trending area of study. Applying artificial intelligence (AI) techniques to story development has caught the attention of professionals and researchers; however, few studies have inherited techniques used in previous literary methods and related research in social sciences. Implementing previous narratology theories to current narrative generation systems is a research area that remains unexplored.Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation is a collection of innovative research on the analysis of current practices in narrative generation systems by combining previous theories in narratology and literature with current methods of AI. The book bridges the gap between AI, cognitive science, and narratology with narrative generation in a broad sense, including other content generation, such as a novels, poems, movies, computer games, and advertisements. The book emphasizes that an important method for bridging the gap is based on designing and implementing computer programs using knowledge and methods of narratology and literary theories. In order to present an organic, systematic, and integrated combination of both the fields to develop a new research area, namely post-narratology, this book has an important place in the creation of a new research area and has an impact on both narrative generation studies, including AI and cognitive science, and narrative studies, including narratology and literary theories. It is ideally designed for academicians, researchers, and students, as well as enterprise practitioners, engineers, and creators of diverse content generation fields such as advertising production, computer game creation, comic and manga writing, and movie production.