Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next. a) Needy local search b) Heuristic local search c) Greedy local search d) Optimal local search

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Optimality of BFS is a) When there is less number of nodes b) When all step costs are equal c) When all step costs are unequal d) Both a & c

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 In A* approach evaluation function is a) Heuristic function b) Path cost from start node to current node c) Path cost from start node to current node + Heuristic cost d) Average of Path cost from start node to current node and Heuristic cost

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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 are various types of sensors used in the robotics?

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What is a microcontroller? What is the use of the microcontroller in the robotics?

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Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned

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What do you understand by the term process studio?

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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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 What kind of observing environments are present in artificial intelligence? a) Partial b) Fully c) Learning d) Both a & b

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List the name of the areas where the robotics can be applied?

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Which environment is called as semidynamic? a) Environment does not change with the passage of time b) Agent performance changes c) Environment will be changed d) Both a & b

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