Seminar: Computational Storytelling and Narratology - Details

Allgemeine Informationen

Veranstaltungsname	Seminar: Computational Storytelling and Narratology
Untertitel
Veranstaltungsnummer	8.3481
Semester	WiSe 2021/22
Aktuelle Anzahl der Teilnehmenden	73
Heimat-Einrichtung	LE Cognitive Science
Veranstaltungstyp	Seminar in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin	Mittwoch, 20.10.2021 16:00 - 18:00, Ort: 32/106
Art/Form
SWS	2
Sprache	Englisch
ECTS-Punkte	4

Lehrende

• Dr. Marco Volpe

Räume und Zeiten

32/106

Mittwoch: 16:00 - 18:00, wöchentlich (14x)

Studienbereiche

• Veranstaltungen > Cognitive Science > Master-Programm
• Veranstaltungen > Cognitive Science > Bachelor-Programm

Modulzuordnungen

• Bachelor of Science Informatik > CS-BWP-AI - Künstliche Intelligenz, gültig ab WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-AI - Künstliche Intelligenz, gültig ab WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-AI - Künstliche Intelligenz, gültig ab WiSe 2019/20
• Master of Science Mathematik > CS-BWP-AI - Künstliche Intelligenz, gültig ab WiSe 2019/20
• Bachelor of Science Informatik > CS-BWP-CL - (Computer)Linguistik, gültig ab WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-CL - (Computer)Linguistik, gültig ab WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-CL - (Computer)Linguistik, gültig ab WiSe 2019/20
• Master of Science Mathematik > CS-BWP-CL - (Computer)Linguistik, gültig ab WiSe 2019/20

Kommentar/Beschreibung

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