- The course cannot be taken simultaneously with:
- Cognitive Systems (X33KSY)
- The course is a substitute for:
- Cognitive Systems (X33KSY)
- Michal Vavrečka (guarantor), Karla Štěpánová (guarantor)
- Michal Vavrečka (guarantor), Karla Štěpánová (guarantor), Gabriela Šejnová
- 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:
 Gazzaniga, M., Ivry, R., & Mangun, G. (1998). Cognitive Neuroscience: The Biology of the Mind. New York: W.W.
Norton and Company.
 Sternberg, R. J. (Ed.).(1999). The nature of cognition.Cambridge, MA: MIT Press.
 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 2021/2022:
Mon Tue WedroomKN:E-127
Kotkova cvičebna K4roomKN:E-307
- Time-table for summer semester 2021/2022:
- Time-table is not available yet
- The course is a part of the following study plans: