Artificial Intelligence

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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).