What are application domains of computer vision?

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 ____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the above

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How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both b & c

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Hill-Climbing approach stuck for the following reasons a) Local maxima b) Ridges c) Plateaux d) All of above

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What is ai? Why do we implement ai in the robots?

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 Which method is effective for escaping from local minima? a) Updating heuristic estimate b) Reducing heuristic estimate c) Eliminating heuristic estimate d) None of the mentioned

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What is travelling salesman problem?

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The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is called chronological-backtracking. It is also possible to go all the way to set of variable that caused failure. State whether True or False. a) True b) False

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What kind of behavior does the stochastic environment posses? a) Local b) Deterministic c) Ratioanl d) Primary

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_______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill a) Up-Hill Search b) Hill-Climbing c) Hill algorithm d) Reverse-Down-Hill search

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Hill-Climbing algorithm terminates when, a) Stopping criterion met b) Global Min/Max is achieved c) No neighbor has higher value d) Local Min/Max is achieved

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What is the rule of simple reflex agent? a) Simple-action rule b) Condition-action rule c) Both a & b d) None of the mentioned

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