Foundations of Artificial Intelligence
The course is not on the list Without time-table
Code | Completion | Credits | Range |
---|---|---|---|
YD33ZUI | Z,ZK | 5 | 14+6s |
- Lecturer:
- Tutor:
- Supervisor:
- Department of Cybernetics
- Synopsis:
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This course introduces representations, techniques, and architectures used
to build intelligent systems. It covers basic state-space- search methods,
formalisms for knowledge representation and automated inference, reasoning
under uncertainty, planning and scheduling, machine learning, distributed
artificial intelligence or evolution algorithms. In addition, it gives
selected applications in the fields of knowledge-based, multi-agent,
robotic or data-mining systems.
- Requirements:
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
- Study materials:
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
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- Inteligentní systémy (compulsory course)