Paradigms & Approaches
Symbolic AI (GOFAI)
The classical approach to AI, based on the idea that intelligence can be replicated by manipulating symbols and explicit logical rules.
Connectionism
The paradigm that suggests intelligence emerges from the interaction of many simple, interconnected units, forming the philosophical basis for neural networks.
Weak AI vs. Strong AI
Weak (or Narrow) AI is specialized for one task. Strong (or General) AI aspires to a versatile, human-like intelligence.
Supervised, Unsupervised & Reinforcement Learning
Supervised learns from labeled data. Unsupervised finds patterns in unlabeled data. Reinforcement learns by taking actions to maximize a reward.