Best-First search is a type of informed search, which uses ________________ to choose the best next node for expansion. a) Evaluation function returning lowest evaluation b) Evaluation function returning highest evaluation c) Evaluation function returning lowest & highest evaluation d) None of them is applicable

Best-First search is a type of informed search, which uses ________________ to choose the best next

node for expansion.

a) Evaluation function returning lowest evaluation

b) Evaluation function returning highest evaluation

c) Evaluation function returning lowest & highest evaluation

d) None of them is applicable
by

1 Answer

Answer :

a) Evaluation function returning lowest evaluation
by

Related questions

Best-First search is a type of informed search, which of the following principle used to choose the best next node for expansion A : Evaluation function returning lowest evaluation B : Evaluation function returning highest evaluation C : Evaluation function returning lowest & highest evaluation D : no evaluation function

Description : Best-First search is a type of informed search, which of the following principle used to choose the best next node for expansion A : Evaluation function returning lowest evaluation B : ... highest evaluation C : Evaluation function returning lowest & highest evaluation D : no evaluation function

Last Answer : A : Evaluation function returning lowest evaluation

Best-First search is a type of informed search, which of the following principle used to choose the best next node for expansion A : Evaluation function returning lowest evaluation B : Evaluation function returning highest evaluation C : Evaluation function returning lowest & highest evaluation D : no evaluation function

Description : Best-First search is a type of informed search, which of the following principle used to choose the best next node for expansion A : Evaluation function returning lowest evaluation B : ... highest evaluation C : Evaluation function returning lowest & highest evaluation D : no evaluation function

Last Answer : A : Evaluation function returning lowest evaluation

Best-First search is a type of informed search, which of the following principle used to choose the best next node for expansion A : Evaluation function returning lowest evaluation B : Evaluation function returning highest evaluation C : Evaluation function returning lowest & highest evaluation D : no evaluation function

Description : Best-First search is a type of informed search, which of the following principle used to choose the best next node for expansion A : Evaluation function returning lowest evaluation B : ... highest evaluation C : Evaluation function returning lowest & highest evaluation D : no evaluation function

Last Answer : A : Evaluation function returning lowest evaluation

Which function will select the lowest expansion node at first for evaluation? a) Greedy best-first search b) Best-first search c) Depth-first search d) None of the mentioned

Description : Which function will select the lowest expansion node at first for evaluation? a) Greedy best-first search b) Best-first search c) Depth-first search d) None of the mentioned

Last Answer : b) Best-first search

The name “best-first search” is a venerable but inaccurate one. After all, if we could really expand the best node first, it would not be a search at all; it would be a straight march to the goal. All we can do is choose the node that appears to be best according to the evaluation function. a) True b) False

Description : The name best-first search is a venerable but inaccurate one. After all, if we could really expand the best node first, it would not be a search at all; it would be a straight march to the ... is choose the node that appears to be best according to the evaluation function. a) True b) False

Last Answer : a) True

uniform-cost search expands the node n with the __________ a) Lowest path cost b) Heuristic cost c) Highest path cost d) Average path cost

Description : uniform-cost search expands the node n with the __________ a) Lowest path cost b) Heuristic cost c) Highest path cost d) Average path cost

Last Answer : a) Lowest path cost

Which search uses the problem specific knowledge beyond the definition of the problem? a) Informed search b) Depth-first search c) Breadth-first search d) Uninformed search

Description : Which search uses the problem specific knowledge beyond the definition of the problem? a) Informed search b) Depth-first search c) Breadth-first search d) Uninformed search

Last Answer : a) Informed search

Greedy search strategy chooses the node for expansion in ___________ a) Shallowest b) Deepest c) The one closest to the goal node d) Minimum heuristic cost

Description : Greedy search strategy chooses the node for expansion in ___________ a) Shallowest b) Deepest c) The one closest to the goal node d) Minimum heuristic cost

Last Answer : c) The one closest to the goal node

What is the evaluation function in A* approach? 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

Description : What is the evaluation function in A* approach? 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

Last Answer : c) Path cost from start node to current node + Heuristic cost

What is the evaluation function in greedy approach? 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

Description : What is the evaluation function in greedy approach? 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

Last Answer : a) Heuristic function

Strategies that know whether one non-goal state is “more promising” than another are called ___________ a) Informed & Unformed Search b) Unformed Search c) Heuristic & Unformed Search d) Informed & Heuristic Search

Description : Strategies that know whether one non-goal state is “more promising” than another are called ___________ a) Informed & Unformed Search b) Unformed Search c) Heuristic & Unformed Search d) Informed & Heuristic Search

Last Answer : d) Informed & Heuristic Search

What is the general term of Blind searching? a) Informed Search b) Uninformed Search c) Informed & Unformed Search d) Heuristic Search

Description : What is the general term of Blind searching? a) Informed Search b) Uninformed Search c) Informed & Unformed Search d) Heuristic Search

Last Answer : b) Uninformed Search

Heuristic function h(n) is ________ a) Lowest path cost b) Cheapest path from root to goal node c) Estimated cost of cheapest path from root to goal node d) Average path cost

Description : Heuristic function h(n) is ________ a) Lowest path cost b) Cheapest path from root to goal node c) Estimated cost of cheapest path from root to goal node d) Average path cost

Last Answer : c) Estimated cost of cheapest path from root to goal node

Uninformed search strategies are better than informed search strategies. a) True b) False

Description : Uninformed search strategies are better than informed search strategies. a) True b) False

Last Answer : a) True

What is the other name of informed search strategy? a) Simple search b) Heuristic search c) Online search d) None of the mentioned

Description : What is the other name of informed search strategy? a) Simple search b) Heuristic search c) Online search d) None of the mentioned

Last Answer : b) Heuristic search

Which search strategy is also called as blind search? a) Uninformed search b) Informed search c) Simple reflex search d) All of the mentioned

Description : Which search strategy is also called as blind search? a) Uninformed search b) Informed search c) Simple reflex search d) All of the mentioned

Last Answer : a) Uninformed search

List the various informed search strategy.

Description : List the various informed search strategy.

Last Answer : Best first search –greedy search ,A* search Memory bounded search-Iterative deepening A*search -simplified memory bounded A*search -Iterative improvement search –hill climbing -simulated annealing 

What is informed search?

Description : What is informed search?

Last Answer : One that uses problem – specific knowledge beyond the definition of the problem itself and it can find solutions more efficiently than an uninformed strategy.

Which search method will expand the node that is closest to the goal? a) Best-first search b) Greedy best-first search c) A* search d) None of the mentioned

Description : Which search method will expand the node that is closest to the goal? a) Best-first search b) Greedy best-first search c) A* search d) None of the mentioned

Last Answer : b) Greedy best-first search

Breadth-first search always expands the ______ node in the current fringe of the search tree. a) Shallowest b) Child node c) Deepest

Description : Breadth-first search always expands the ______ node in the current fringe of the search tree. a) Shallowest b) Child node c) Deepest

Last Answer : a) Shallowest

Depth-first search always expands the ______ node in the current fringe of the search tree. a) Shallowest b) Child node c) Deepest d) Minimum cost

Description : Depth-first search always expands the ______ node in the current fringe of the search tree. a) Shallowest b) Child node c) Deepest d) Minimum cost

Last Answer : c) Deepest

Breadth-first search is not optimal when all step costs are equal, because it always expands the shallowest unexpanded node. a) True b) False

Description : Breadth-first search is not optimal when all step costs are equal, because it always expands the shallowest unexpanded node. a) True b) False

Last Answer : b) False

Mention the criteria for the evaluation of search strategy.

Description : Mention the criteria for the evaluation of search strategy.

Last Answer :  There are 4 criteria: Completeness, time complexity, space complexity, optimality

A heuristic is a way of trying ___________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than another d) All of the mentioned

Description : A heuristic is a way of trying ___________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than another d) All of the mentioned

Last Answer : d) All of the mentioned

The main idea of Bidirectional search is to reduce the time complexity by searching two way simultaneously from start node and another from goal node. a) True b) False

Description : The main idea of Bidirectional search is to reduce the time complexity by searching two way simultaneously from start node and another from goal node. a) True b) False

Last Answer : a) True

A heuristic is a way of trying __________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than the other is d) All of the mentioned

Description : A heuristic is a way of trying __________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than the other is d) All of the mentioned

Last Answer : d) All of the mentioned

Define search node.

Description : Define search node.

Last Answer : The root of the search tree that is the initial state of the problem is called search node. 

Satellite Image Analysis System is (Choose the one that is not applicable). a) Episodic b) Semi-Static c) Single agent d) Partially Observable

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Last Answer : d) Partially Observable

Question Long-Form: I have an interview for a new job next week and they have informed me that I will need to undergo a criminal records search. Where can I get one done and can I get it done for free?

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Last Answer : You can get one done at your local police station. Just ask them to do it on you; however, it will not be free of charge, as all stations require a fee.

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Define Evaluation function, f(n).

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Last Answer : A node with the lowest evaluation is selected for expansion, because evaluation measures distance to the goal.

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Last Answer : c) Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label

What is the consequence between a node and its predecessors while creating bayesian network? a) Functionally dependent b) Dependant c) Conditionally independent d) Both Conditionally dependant & Dependant

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Last Answer : c) Conditionally independent

What is the consequence between a node and its predecessors while creating Bayesian network? a) Conditionally dependent b) Dependent c) Conditionally independent d) Both a & b

Description : What is the consequence between a node and its predecessors while creating Bayesian network? a) Conditionally dependent b) Dependent c) Conditionally independent d) Both a & b

Last Answer : c) Conditionally independent

Which search uses only the linear space for searching? a) Best-first search b) Recursive best-first search c) Depth-first search d) None of the mentioned

Description : Which search uses only the linear space for searching? a) Best-first search b) Recursive best-first search c) Depth-first search d) None of the mentioned

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Adversarial search problems uses ____________ a) Competitive Environment b) Cooperative Environment c) Neither Competitive nor Cooperative Environment d) Only Competitive and Cooperative Environment

Description : Adversarial search problems uses ____________ a) Competitive Environment b) Cooperative Environment c) Neither Competitive nor Cooperative Environment d) Only Competitive and Cooperative Environment

Last Answer : a) Competitive Environment

What is called as transposition table? a) Hash table of next seen positions b) Hash table of previously seen positions c) Next value in the search d) None of the mentioned

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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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Description : How does randomized hill-climbing choose the next move each time? (A) It generates a random move from the moveset, and accepts this move. (B) It generates a random move from the whole state ... move from the whole state space, and accepts this move only if this move improves the evaluation function.

Last Answer : (C) It generates a random move from the moveset, and accepts this move only if this move improves the evaluation function. 

What is the evaluation function in greedy approach? 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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When flanges and flanged fittings meet the requirements for multiple materials and are marked for multiple materials and are marked in accordance with ASME B16.5, which of the following pressure rating may be used? e) Any applicable pressure rating. f) The lowest must be used. g) The highest must be used. h) Flanges may only meet one material specification.

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Last Answer : e) Any applicable pressure rating.

One the main drawback of this type of planning system is that it requires a lot of computational powers at each node. a) True b) False

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The process by which you become aware of messages through your sense is called ____________ a) Organization b) Sensation c) Interpretation-Evaluation d) Perception

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Last Answer : d) All of the mentioned

Basic idea of an partitioned nets is to break network into spaces which consist of groups of nodes and arcs and regard each space as a node. a) True b) False

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Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned

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Last Answer : D) All of the above.

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