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

uniform-cost search expands the node n with the __________

a) Lowest path cost

b) Heuristic cost

c) Highest path cost

d) Average path cost
by

1 Answer

Answer :

a) Lowest path cost
by

Related questions

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

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

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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

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what is heuristic function A : Lowest path cost B : Cheapest path from root to goal node C : Average path cost D : Estimated cost of cheapest path from root to goal node

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what is heuristic function A : Lowest path cost B : Cheapest path from root to goal node C : Average path cost D : Estimated cost of cheapest path from root to goal node

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what is heuristic function A : Lowest path cost B : Cheapest path from root to goal node C : Average path cost D : Estimated cost of cheapest path from root to goal node

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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 (D) Only (a), (b) and (c).

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 (D) Only (a), (b) and (c).

Last Answer : (D) Only (a), (b) and (c).

Define Admissible heuristic h (n).

Description : Define Admissible heuristic h (n).

Last Answer : In A* search, if it is optimal then, h(n) is an admissible heuristic which means h(n) never overestimates the cost to reach the goal.

Define Heuristic function, h (n).

Description : Define Heuristic function, h (n).

Last Answer :  h (n) is defined as the estimated cost of the cheapest path from node n to a goal node. 

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

Define Uniform cost search.

Description : Define Uniform cost search.

Last Answer : Uniform cost search expands the node ‘n’ with the lowest path cost instead of expanding the shallowest node. 

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

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

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

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. 

A solution to a problem is a path from the initial state to a goal state. Solution quality is measured by the path cost function, and an optimal solution has the highest path cost among all solutions. a) True b) False

Description : A solution to a problem is a path from the initial state to a goal state. Solution quality is measured by the path cost function, and an optimal solution has the highest path cost among all solutions. a) True b) False

Last Answer : a) True

Which is true regarding BFS (Breadth First Search)? a) BFS will get trapped exploring a single path b) The entire tree so far been generated must be stored in BFS c) BFS is not guaranteed to find a solution if exists d) BFS is nothing but Binary First Search

Description : Which is true regarding BFS (Breadth First Search)? a) BFS will get trapped exploring a single path b) The entire tree so far been generated must be stored in BFS c) BFS is not guaranteed to find a solution if exists d) BFS is nothing but Binary First Search

Last Answer : b) The entire tree so far been generated must be stored in BFS

The _______ is a touring problem in which each city must be visited exactly once. The aim is to find the shortest tour. a) Finding shortest path between a source and a destination b) Travelling Salesman problem c) Map coloring problem d) Depth first search traversal on a given map represented as a graph

Description : The _______ is a touring problem in which each city must be visited exactly once. The aim is to find the shortest tour. a) Finding shortest path between a source and a destination b) Travelling ... c) Map coloring problem d) Depth first search traversal on a given map represented as a graph

Last Answer : b) Travelling Salesman problem

Special programs that assist programmers are called ____________ a) heuristic processors b) symbolic programmers c) intelligent programming tools d) program recognizers

Description : Special programs that assist programmers are called ____________ a) heuristic processors b) symbolic programmers c) intelligent programming tools d) program recognizers

Last Answer : c) intelligent programming tools

_____________ algorithms is used to extract the plan directly from the planning graph, rather than using graph to provide heuristic. a) BFS/DFS b) A* c) Graph-Plan d) Greedy

Description : _____________ algorithms is used to extract the plan directly from the planning graph, rather than using graph to provide heuristic. a) BFS/DFS b) A* c) Graph-Plan d) Greedy

Last Answer : c) Graph-Plan

Which data structure is used to give better heuristic estimates? a) Forwards state-space b) Backward state-space c) Planning graph algorithm d) None of the mentioned

Description : Which data structure is used to give better heuristic estimates? a) Forwards state-space b) Backward state-space c) Planning graph algorithm d) None of the mentioned

Last Answer : c) Planning graph algorithm

Which is the best way to go for Game playing problem? a) Linear approach b) Heuristic approach (Some knowledge is stored) c) Random approach d) An Optimal approach

Description : Which is the best way to go for Game playing problem? a) Linear approach b) Heuristic approach (Some knowledge is stored) c) Random approach d) An Optimal approach

Last Answer : b) Heuristic approach (Some knowledge is stored)

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

Description : 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

Last Answer : a) Updating heuristic estimate

What is the term used for describing the judgmental or commonsense part of problem solving? a) Heuristic b) Critical c) Value based d) Analytical

Description : What is the term used for describing the judgmental or commonsense part of problem solving? a) Heuristic b) Critical c) Value based d) Analytical

Last Answer : a) Heuristic

An Artificial Intelligence technique that allows computers to understand associations and relationships between objects and events is called _____________ a) heuristic processing b) cognitive science c) relative symbolism d) pattern matching

Description : An Artificial Intelligence technique that allows computers to understand associations and relationships between objects and events is called _____________ a) heuristic processing b) cognitive science c) relative symbolism d) pattern matching

Last Answer : c) relative symbolism

What are the two subfields of Natural language processing? a) symbolic and numeric b) time and motion c) algorithmic and heuristic d) understanding and generation

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Last Answer : c) algorithmic and heuristic