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Big Ideas in Cmput366

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Search Blind Search Iterative deepening Heuristic Search A* Local and Stochastic Search Randomized algorithm Constraint satisfaction Arc consistency Edge labeling example Games and Adversarial Search Minimax Alpha-Beta

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Logic Propositional Logic Soundness and completeness of inference Resolution rule Predicate Logic Unification Planning STRIP language

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Probability Uncertainty and Probability Bayes theorem Chain rule Formulating problems as probabilistic reasoning Bayesian Network Representation of independence/d-separation Markov Model Computing expected values HMM and Speech Recognition Viterbi algorithm Baum-Welch algorithm

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NLP NLP Overview Pervasiveness of ambiguity Parse trees Syntax and parsing CFG grammar Chart parsing Statistical Machine Translation Word alignment A general idea of EM

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