Learning in Real and Virtual Humans
Lernen bei organischen und virtuellen Menschen
6 CPevery semesterEN
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
Learning outcomes
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.
Assessment
• 1st test, approximately 60 minutes (40 %) • 2nd test, approximately 60 minutes (60 %)
Literature (3)
- 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)
Remarks
• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Learning and Reasoning“
Source: BTU's module description · retrieved 29 Sep 2026Original