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Cognitive Systems

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Code Completion Credits Range Language
A6M33KSY KZ 4 2P+1C Czech
During a review of study plans, the course X33KSY can be substituted for the course A6M33KSY.
It is not possible to register for the course A6M33KSY if the student is concurrently registered for or has already completed the course X33KSY (mutually exclusive courses).
The requirement for course A6M33KSY can be fulfilled by substitution with the course X33KSY.
Garant předmětu:
Karla Štěpánová, Michal Vavrečka
Karla Štěpánová, Michal Vavrečka
Gabriela Šejnová, Karla Štěpánová, Michal Vavrečka
Department of Cybernetics

This subject is conceived as the introduction to the cognitive psychology for the students of technical schools. The mind is considered as the information processing system in this approach so the students should find some similarities with the computational and mathematical theories. The lectures are divided to the several sections copying the way of informational processing in the human brain. There are lectures focused attention, perception, reasoning, mental imagery, knowledge representation and language acquisition. In the practical lessons student undergo experiments that demonstrates theories from the lectures.



Syllabus of lectures:

1. Introduction - definition of psychology, historical context, Behaviorism, Gestalt psychology, Cognitive psychology, present status.

2. Psychological methods - observation, interview, questionnaire, test, experiment, product analysis, case study, modelling, advantages and disadvantages, application.

3. Attention and consciousness - preconscious processing, habituation, signal detection theory, selective attention, filter theory, Posner theory, evoked potentials, Marcel`s model.

4. Perception - sensation and perception, perceptual constants, depth perception, shape perception, top down a bottom up perception theories, computational theories of perception, perception impairment.

5. Memory - memory models, short term and long term models, working memory, connectionist approach to memory, memory impairment, neurobiological correlates.

6. Memory processes - memory coding, short term to long term memory transport, memory recall, forgetting.

7. Knowledge representation - mental imagery, dual coding theory, mental manipulation, mental rotation, imagery scanning, mental models, cognitive maps.

8. Knowledge representation- terms and categories, semantic nets, cognitive schema, production systems, ACT, ACT*, connectionist models.

9. Language acquisition- language, speech perception, syntax and semantics, nature and nurture influences, early stage language development.

10. Language - language and reasoning, language and metaphor, language in social context, speech acts, conversational styles, discourse, language and brain impairment.

11. Reasoning- natural and artificial reasoning, problem types, problem solving, natural talent and acquired skills , creativity.

12. Problem solving and decision making- decision theories, exclusion, heuristics, deductive judgment, syllogism, inductive reasoning, analogies.

13. Summary - simulation and modelling, artificial intelligence.


Syllabus of tutorials:

1. How to control humanoid robot Pepper

2. Development of cognitive architecture for humanoid robot

3. Development of cognitive architecture for humanoid robot

4. Development of cognitive architecture for humanoid robot

5. Development of cognitive architecture for humanoid robot

6. Testing robot in the real world

Study Objective:

It is an introduction to the cognitive psychology for the computer science students. It is suitable for the students interested in the artificial intelligence and cognitive modeling.

Study materials:

[1] Gazzaniga, M., Ivry, R., & Mangun, G. (1998). Cognitive Neuroscience: The Biology of the Mind. New York: W.W.

Norton and Company.

[2] Sternberg, R. J. (Ed.).(1999). The nature of cognition.Cambridge, MA: MIT Press.

[3] Wilson, R. A., & Keil, F. C. (Eds.). (1999). The MIT Encyclopedia of the Cognitive Sciences. Cambridge,

MA: MIT Press.

Further information:
Time-table for winter semester 2023/2024:
Vavrečka M.
Štěpánová K.

(lecture parallel1)
Karlovo nám.
Kotkova cvičebna K4
Šejnová G.
Štěpánová K.

(lecture parallel1
parallel nr.101)

Karlovo nám.
Lab K310 Linux

(lecture parallel1
parallel nr.102)

Karlovo nám.
Lab K310 Linux
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-05-27
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet1706906.html