In hmm’s, what are the possible values of the variable?

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A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum. State whether True or False. a) True b) False

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Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move. a) True b) False

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The Set of actions for a problem in a state space is formulated by a ___________. a) Intermediate states b) Initial state c) Successor function, which takes current action and returns next immediate state d) None of the mentioned

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What is augmented human intelligence?

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 A* is optimal if h(n) is an admissible heuristic-that is, provided that h(n) never underestimates the cost to reach the goal. a) True b) False

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What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both a & b

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What are application domains of computer vision?

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What is not represented by using propositional logic? a) Objects b) Relations c) Both a & b d) None of the mentioned

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To overcome the need to backtrack in constraint satisfaction problem can be eliminated by a) Forward Searching b) Constraint Propagation c) Backtrack after a forward search d) Omitting the constraints and focusing only on goals

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Which is used to compressed gasses to drive (power) the robot ?

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Specify the agent architecture name that is used to capture all kinds of actions. a) Complex b) Relational c) Hybrid d) None of the mentioned

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