Which function will select the lowest expansion node at firs...

MCQ

Which function will select the lowest expansion node at first for evaluation?

Greedy best-first search

Best-first search

Depth-first search

None of the mentioned

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Which is the best way to go for Game playing problem?

Linear approach

Heuristic approach (Some knowledge is stored)

Random approach

An Optimal approach

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MCQ

When the environment of an agent is partially observable in search space following problem/problems could occur.

Sensorless problems: If the agent has no sensors at all, then (as far as it knows) it could be in one of several possible initial states, and each action might therefore lead to one of several possible successor states

Contingency problems: If the environment is partially observable or if actions are uncertain, then the agent

Exploration problems: When the states and actions of the environment are unknown, the agent must act to discover them. Exploration problems can be viewed as an extreme case of contingency problems

All of the mentioned

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Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size.

P complete

NP complete

NP hard

Domain dependent

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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.

Static CSPs

Dynamic CSPs

Flexible CSPs

None of the mentioned

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MCQ

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

True

False

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