Course details


Computational Storytelling and Narratology

S + Interdisciplinary Course (Master)
WS 2020 Dr. Marco Volpe
B.Sc modules:
CS-BWP-AI - Artificial Intelligence
KOGW-WPM-KI - Artificial Intelligence
M.Sc modules:
CC-MP-IDC - Interdisciplinary Course
CC-MWP-AI - Artificial Intelligence
CS-MP-IDC - Interdisciplinary Course
CS-MWP-AI - Artificial Intelligence
KOGW-MPM-IDK - Interdisciplinary courses
KOGW-MWPM-KI - Major subject Artificial Intelligence
Thu: 14-16

The study of computational approaches to narrative understanding and generation, lying at the intersection of disciplines like computer science, cognitive science, linguistics and literary theory, constitutes one of the oldest areas in artificial intelligence. The interest in the field has even increased in recent years, together with the success of interactive entertainment and game systems and their demand of credible narratives with well-designed characters. This course will provide an overview of the main issues, approaches, and challenges encountered nowadays when modeling systems for understanding and generating narrative. Classical narratological notions from literary theory and their adaptation to computational approaches will be analysed. The focus will be on how research in artificial intelligence has interpreted concepts like character knowledge, author and character goals, causality, time by using formalisms and techniques from, e.g., planning, knowledge representation, case-based and temporal reasoning. The format of the course will be a combination of lecture and seminar, where core notions will be illustrated by the lecturer and students will be asked to report on recent related scientific literature. Prerequisites: - Knowledge of basic concepts in artificial intelligence