13847 - Cognitive Systems: Behavior Control Modulübersicht

Module Number: 13847
Module Title:Cognitive Systems: Behavior Control
  Kognitive Systeme: Verhaltenssteuerung
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr.-Ing. habil. Wolff, Matthias
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every summer semester
Credits: 6
Learning Outcome:After successfully completing the module, students can understand and develop techniques for semantics processing, methods for automatic planning and decision making under uncertainties, and the behavior control of cognitive technical systems.

  • Unsupervised learning, strategy learning (Q-learning)
  • Markov decision processes (MDP)
  • Partially observable Markov decision processes (POMDP)
  • Bidirectional signal processing
  • Semantic modeling with feature-value relations
  • Petri-net transducers as semantic carriers
  • Modeling of higher cognitive processes (e.g. coping)
  • Applications in communications and dialog systems
Recommended Prerequisites:Knowledge of the content of module
  • 11744   Kognitive Systeme: Perzeption und Aktion
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Exercise / 1 Hours per Week per Semester
  • Seminar / 1 Hours per Week per Semester
  • Self organised studies / 120 Hours
Teaching Materials and Literature:
  • Haykin, S.; Cognitive Dynamic Systems, Cambridge University Press, 2012
  • Ertel, W.: Grundkurs Künstliche Intelligenz, 2. Überarbeitete Auflage 2009, Vieweg+Teubner Verlag ISBN: 978-3-8348-0783-0.
  • R. Hoffmann, M. Wolff: Intelligente Signalverarbeitung 2: Signalerkennung, 2. Auflage. Springer Vieweg, 2015. ISBN 978-3-662-46725-1.
Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • Processing of a seminar task in groups and presentation, approx. 10 minutes with subsequent technical discussion (25 %)
    (Solution of a programming task on the topic of the lecture and preparation of a presentation in self-study; presentation scheduled in the course of the lecture, usually on the last exercise date)
  • written examination, 60 minutes (75 %)
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • Abschluss im Ausland / Artificial Intelligence / keine PO
  • Master (research-oriented) / Artificial Intelligence / PO 2022
  • Master (research-oriented) / Elektrotechnik / PO 2019
  • Master (research-oriented) / Elektrotechnik / PO 2023
  • Master (research-oriented) / Informatik / PO 2008
  • Master (research-oriented) / Informations- und Medientechnik / PO 2017
  • Master (research-oriented) / Künstliche Intelligenz Technologie / PO 2022
  • Master (research-oriented) / Wirtschaftsingenieurwesen / PO 2019
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex  „Learning and Reasoning“
  • Study programme Künstliche Intelligenz Technologie M.Sc.: Compulsory elective module in complex „Kognitions- und Neurowissenschaft“
  • Study programme Informations- und Medientechnik M.Sc.: compulsory elective module in complex „Kognitive Systeme"
Module Components:
  • Lecture: Cognitive Systems: Behavior Control
  • Accompanying exercise
  • Related examination
Components to be offered in the Current Semester: