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ai

Basic idea

Construction of agents that perceive and act to maximise some objective. Modern AI is dominated by gradient-based learning on differentiable models.

Key formulas

  • Bayes: $P(h|d) = P(d|h)P(h)/P(d)$

  • Expected utility: $\mathbb{E}[U] = \sum_a P(a) U(a)$

  • Solomonoff prior: $M(x) = \sum_{p : U(p)=x*} 2^{-|p|}$

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