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 |
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Language of Teaching / Examination: | English |
Duration: | 1 semester |
Frequency of Offer: | Every 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 |
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Module Examination: | Final Module Examination (MAP) |
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Evaluation of Module Examination: | Performance Verification – graded |
Limited Number of Participants: | None |
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