1 Compute probability of current state 2 compute the probability of observation sequence 3 Improve the probability of past state 4 Viterbi algorithm 5 Expectation Maximization 6 Temporal probabilistic model 7 Do not change over time 8 A directed acyclic graph (DAG) 9 Set of sentences in a formal language 10 Sentences taken as true without proof 11 Logically deducing new sentences from old sentences 12 Means that one sentence follows from another sentence 13 When applies to P and Q results to true iff P is true and Q is true 14 When applies to P and Q results to true iff P is true or Q is true 15 When applies to P and Q results to true iff P is false or Q is true

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Intelligent Machines

Machines that use artificial intelligence to learn from the environment and past experiences to perform better in the presence of variability and uncertainty are called intelligent machines. Intelligence develops according to environment and experience. It is human-like behavior. When the computer system or any programmed machine learns from the inputs and corresponding outputs, it can be called an intelligent machine.