13846 - Learning in Real and Virtual Humans Modulübersicht

Module Number: 13846
Module Title:Learning in Real and Virtual Humans
  Lernen bei organischen und virtuellen Menschen
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr. habil. Cunningham, Douglas
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every summer semester
Credits: 6
Learning Outcome:After successfully completing the module, students will master a solid, conceptual framework for understanding the elements of learning and related higher cognitive functions as well as their implementations in humans and machines. In particular, they will be able to describe the types learning required for higher cognitive functions, along with the memory and reasoning requirements.
Furthermore, they will understand the various classes of learning cognitive virtual agents with a strong focus on embodied conversational agents. By the end of the course, participants are able to use what they learned to subsequently deepen their studies of the various topics.
Contents:Basics of perception and action coupling and embodied cognition, memory (iconic, working, short- and long-term), evolutional learning, neural plasticity, behaviorism vs cognitive psychology approaches to learning, classical conditioning, habituation, operant conditional, concepts and knowledge, problem solving, basics of reasoning and judgment, fundamentals of language, basics of personality theory, ethical and social aspects in connection with the teaching content
Recommended Prerequisites:None
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Exercise / 2 Hours per Week per Semester
  • Self organised studies / 120 Hours
Teaching Materials and Literature:
  • Michael Eysenck: Fundamentals of Cognition, 2nd Edition, Psychology Press Ltd. (2012)
  • Russell, S., and P. Norvig: Artificial Intelligence: A Modern Approach, global edition 4th., Pearson Education Limited, Harlow UK (2021)
  • Cassell, Justine & Sullivan, Joseph & Prevost, Scott & Churchill, Elizabeth:  Embodied Conversational Agents (2000)
Module Examination:Final Module Examination (MAP)
Assessment Mode for Module Examination:
  • Written examination, 120 min.
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:100
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022
  • Abschluss im Ausland / Elektrotechnik / keine PO
  • Abschluss im Ausland / Mathematik / keine PO
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Learning and Reasoning“
Module Components:
  • Lecture: Learning in Real and Virtual Humans
  • Accompanying exercise
  • Related examination
Components to be offered in the Current Semester: