This course studies both symbolic and sub-symbolic Artificial Intelligence (ΑΙ). In particular, it covers specialized topics in AI, such as modeling and solving constraint satisfaction and knowledge representation problems, symbolic learning, learning with various forms of neural networks, including deep learning and reinforcement learning.
