| INFB Knowledge Processing II | Course | INF | |
|---|---|---|---|
| Lecturers : |
Dipl.-Inform. Ingo Boersch
eMail
Prof. Dr. Emanuel Kitzelmann eMail |
Term | 5 |
| Course Classification : | Bachelor Informatik, Profil-Katalog B-INF-Profil | CH | 4 |
| Language : | Deutsch | Type | VÜ |
| Type of examination : | PL | Credits | 5 |
| Method of evaluation : | written examination 120 min | ||
| Requirements : |
Introduction to Audio and Video
| ||
| Cross References : | |||
| Previous knowledges : | Foundations of Artificial Intelligence | ||
| Aids and special features : | |||
| Teaching aims : | Students know and understand specialized topics in knowledge processing and artificial intelligence (AI) and their practical applications in computer science, medical informatics, and media. This includes understanding and evaluating the potential use cases for such systems. Students have the ability to apply, design, and implement relevant methods and algorithms, as well as to estimate and assess their performance. Application areas covered may include, for example, autonomous mobile systems or knowledge-processing systems in medicine. | ||
| Contents : | Based on "Fundamentals of Artificial Intelligence" covered in the 4th semester, this course focuses on specialized topics in artificial intelligence (AI). Examples of topics include: * Introduction, formal/theoretical/logical foundations for knowledge representation and inference * Logic programming * Expert and rule-based systems, e.g., in medicine / rule engines * Vocabularies, semantic networks * Description logics (knowledge representation through terminological logics and automated reasoning) * Generative AI, language models * Ontologies and Web Ontology Language * Autonomous mobile systems, service robotics * Action planning and control architectures * Navigation – self-localization and path planning | ||
| Literature : | Russell, S.; Norvig, P.: Artificial Intelligence: A Modern Approach, (4th Edition), 2021 Boersch I., Heinsohn J., Socher R.: Wissensverarbeitung - Eine Einführung in die Künstliche Intelligenz. Spektrum, 2. Auflage, 2007. Spreckelsen, C.; Spitzer, K.: Wissensbasen und Expertensysteme in der Medizin: KI-Ansätze zwischen klinischer Entscheidungsunterstützung und medizinischem Wissensmanagement. Vieweg+Teubner, 2008. Baader et al.: The Description Logic Handbook. Cambridge, 2nd ed., 2010. Lämmel, U.; Cleve, J.: Künstliche Intelligenz, Hanser Fachbuch, 2020 Beierle, C.; KernIsberner, G.: Methoden wissensbasierter Systeme - Grundlagen, Algorithmen, Anwendungen. 6. Auflage, Springer, 2019 Horridge, M., et al.: A Practical Guide To Building OWL Ontologies Using The Protégé-OWL Plugin and CO-ODE Tools. The University of Manchester, 2009 Thrun, S.; Burgard, W.; Fox, D.: Probabilistic Robotics. MIT Press, Cambridge, MA, 2006 Further literatur to be announced in the lecture. | ||