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Artificial Intelligence : Foundations of Computational Agents 2nd Edition David L Poole and Alan K Mackworth This modern AI textbook book is published  - Information from artint.info

The independence assumption embedded in a belief network is as follows: Each random variable is conditionally independent of its nondescendants given its  - Information from artint.info

1521 Structure Learning: Inductive Logic Programming The task of predicting which relations are true based on the truth of other relations has mainly been  - Information from artint.info

A hidden Markov model (HMM) is an augmentation of the Markov chain to include observations Just like the state transition of the Markov chain an HMM also  - Information from artint.info

1521 Structure Learning: Inductive Logic Programming The task of predicting which relations are true This theory can be expressed as a logic program:  - Information from artint.info

A hidden Markov model includes the state transition of the Markov chain and adds to it observations at each time Consider filtering for Example 829 - Information from artint.info

In many applications of reinforcement learning plenty of time is available for computation between each action For example a physical robot may have many  - Information from artint.info

1 Structure Learning: Inductive Logic Programming The task of predicting which relations are true based on the truth of other relations has mainly been carried  - Information from artint.info

The first two equalities are theorems from the definition of probability The last equality makes two assumptions: the model includes all of the information  - Information from artint.info

The notion of conditional independence can be used to give a concise representation of many domains The idea is that given a random variable X  - Information from artint.info

The precise statement of conditional independence in a belief network takes The righthand side of this equation is the form of the probabilities that  - Information from artint.info

The idea is that given a random variable X a small set of variables may exist The precise statement of conditional independence in a belief network  - Information from artint.info