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.
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