Artificial Intelligence and Applications

Course content

Basic problem-solving strategies. A heuristic search principle. Problem reduction and AND/OR graphs. Expert systems and knowledge representation. An expert system shell. Planning. Language processing with grammar rules. Machine learning. Game playing. Logic and uncertainty. Meta programming.