Artificial intelligence uses ideas and concepts from different disciplines, such as neuro and cognitive sciences, mathematics or engineering. In recent years, machine learning techniques – a sub-area of artificial intelligence – have achieved impressive success in application areas such as image categorization, face or speech recognition, language processing and solving control problems. The goal of the lecture is to understand the basics of intelligent systems, focusing on an interaction between application (practice) and mathematical background (theory).
A selection of the topics covered is:
- Basic and advanced techniques of intelligent systems
- Intelligent systems in practice
- Multi-agent systems