FPF:UINK109 Artificial Intelligence - Course Information
UINK109 Artificial Intelligence
Faculty of Philosophy and Science in OpavaSummer 2016
- Extent and Intensity
- 0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Ing. Petr Čermák, Ph.D. (lecturer)
prof. RNDr. Jozef Kelemen, DrSc. (lecturer) - Guaranteed by
- prof. RNDr. Jozef Kelemen, DrSc.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Computer Science (programme FPF, B1802 AplI)
- Information studies with the focus on library science (programme FPF, B7201 InSK)
- Computer Science and Technology (programme FPF, B1801 Inf)
- Course objectives
- Noted in artificial intelligence.
- Syllabus
- 1. Introduction, history, and the Turing test.
2. Reactivity and deliberation, the subsumption architecture.
3. Decentralization and communication.
4. Artificial neural networks.
5. From subsumption to deliberation (from Toto to MetaToto).
6. Knowledge and STRIPS.
7. The state space and the search procedures, types of heuristics.
8. The General Problem Solver.
9. The associative representation scheme. Example of computational learning.
10. The procedural representation scheme, and calling programs by goals.
11. The frame representation scheme. Default values and non-monotonicity.
12. Resume.
- 1. Introduction, history, and the Turing test.
- Literature
- required literature
- NÁVRAT, P. a kol. Umelá inteligencia. Slovenská technická univerzita, Bratislava, 2002. info
- BROOKS, R. A. Cambrian Intelligence. The MIT Press, Cambridge, 1999. info
- PFEIFER, R., SCHEIER, CH. Understanding Intelligence. The MIT Press, Cambridge, Mass, 1999. info
- Kelemen, J. Strojovia a agenty. ARCHA, Bratislava,, 1994. info
- MAŘÍK, V. aj. Umělá inteligence I, II, III, IV, V. Academia, Praha, 1993. info
- WINSTON, P. H. Artificial Intelligence. Addison-Wesley, 1992. info
- KELEMEN, J. aj. Základy umelej inteligencie. ALFA, Bratislava,, 1992. info
- Teaching methods
- Interactive lecture
Lecture with a video analysis - Assessment methods
- Exam
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 6 HOD/SEM. - Teacher's information
- * 75% attendance in course, active participation
* success rate of 70 % from written test
- Enrolment Statistics (Summer 2016, recent)
- Permalink: https://is.slu.cz/course/fpf/summer2016/UINK109