Probabilistic Reasoning
Bayesian networks, conditional probability, and reasoning under uncertainty.
Real environments are uncertain, and AI systems must handle partial and noisy information. This chapter covers probability theory for AI, Bayes theorem, Bayesian networks as a compact representation of joint distributions, and exact and approximate inference algorithms.