Artificial Intelligence
2 types of AI
Symbolic
Trying to capture intelligence in rules (Marvin Minsky, John McCarthy, Oliver Selfridge, Ray Solomonoff)
Subsymbolic
Learn to understand the world by trial and error. (Rosenblatt).
Neural Network, later called Machine Learning.
Supervised
Feed input/output pairs
Unsupervised
Input only. The system learns from finding commonalities in the data presented.
Reinforcement
Input and Critic. Constant feeding of new data, try to evaluate and have the result checked (by humans).