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

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
by

1 Answer

Answer :

D : Estimated cost of cheapest path from root to goal node
by

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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

Description : 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

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

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

Description : 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

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

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

Description : 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

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

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

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

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

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

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

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).

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

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

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

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

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

Last Answer : a) True

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

Consider f(N) = g(N) + h(N) Where function g is a measure of the cost of getting from the start node to the current node N and h is an estimate of additional cost of getting from the current node N to the goal node. Then f(N) = h(N) is used in which one of the following algorithms ? (A) A* algorithm (B) AO* algorithm (C) Greedy best first search algorithm (D) Iterative A* algorithm

Description : Consider f(N) = g(N) + h(N) Where function g is a measure of the cost of getting from the start node to the current node N and h is an estimate of additional cost of getting from the current ... ? (A) A* algorithm (B) AO* algorithm (C) Greedy best first search algorithm (D) Iterative A* algorithm

Last Answer : (C) Greedy best first search algorithm

Any node is the path from the root to the node is called A) Successor node B) Ancestor node C) Internal node D) None of the above

Description : Any node is the path from the root to the node is called A) Successor node B) Ancestor node C) Internal node D) None of the above

Last Answer : B) Ancestor node

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 among the following constitutes to the incremental formulation of CSP? a) Path cost b) Goal cost c) Successor function d) All of the mentioned

Description : What among the following constitutes to the incremental formulation of CSP? a) Path cost b) Goal cost c) Successor function d) All of the mentioned

Last Answer : d) All of the mentioned

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

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

A software project was estimated at 352 Function Points (FP). A four person team will be assigned to this project consisting of an architect, two programmers, and a tester. The salary of the architect is Rs.80,000 per month, the programmer Rs.60,000 per month and the tester Rs.50,000 per month. The average productivity for the team is 8 FP per person month. Which of the following represents the projected cost of the project? (1) Rs.28,16,000 (2) Rs.20,90,000 (3) Rs.26,95,000 (4) Rs.27,50,000

Description : A software project was estimated at 352 Function Points (FP). A four person team will be assigned to this project consisting of an architect, two programmers, and a tester. The salary of the architect is Rs.80,000 per month, the ... ) Rs.28,16,000 (2) Rs.20,90,000 (3) Rs.26,95,000 (4) Rs.27,50,000

Last Answer : (4) Rs.27,50,000 

If h* represents an estimate of the cost of getting from the current node N to the goal node and h represents actual cost of getting from current node to the goal node, then A* algorithm gives an optimal solution if (A) h* us equal to h (B) h* overestimates h (C) h* underestimates h (D) none of these

Description : If h* represents an estimate of the cost of getting from the current node N to the goal node and h represents actual cost of getting from current node to the goal node, then A* algorithm gives an optimal solution ... h* us equal to h (B) h* overestimates h (C) h* underestimates h (D) none of these

Last Answer : (C) h* underestimates h

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

Description : 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 ... c) Evaluation function returning lowest & highest evaluation d) None of them is applicable

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

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

The critical path A. Is a path that operates from the starting node to the end node B. Is a mixture of all paths. C.Is the longest path D.Is the shortest path

Description : The critical path  A. Is a path that operates from the starting node to the end node  B. Is a mixture of all paths.  C.Is the longest path  D.Is the shortest path

Last Answer : C.Is the longest path

In ________ routing, we assume that there is one node (or more) ineach autonomous system that acts on behalf of the entire autonomous system. A) distant vector B) path vector C) link state D) none of the above

Description : In ________ routing, we assume that there is one node (or more) ineach autonomous system that acts on behalf of the entire autonomous system. A) distant vector B) path vector C) link state D) none of the above

Last Answer : path vector

In ________, eachnode maintains avector (table)of minimum distances to every node. A) path vector B) distancevector C) link state D) none of the above

Description : In ________, eachnode maintains avector (table)of minimum distances to every node. A) path vector B) distancevector C) link state D) none of the above

Last Answer : distancevector

An independent path is the one A. That is a complete path from source to destination node B. That is a path which introduces at least one new set of processing statements C. That is a path which introduces at most one new set of processing statements D. None of the above

Description : An independent path is the one A. That is a complete path from source to destination node B. That is a path which introduces at least one new set of processing statements C. That is a path which introduces at most one new set of processing statements D. None of the above

Last Answer : B. That is a path which introduces at least one new set of processing statements

Which of the following search strategy uses a problem specific knowledge A : uninformed Search B : Breadth-First-Search C : Heuristic Search D : Best search

Description : Which of the following search strategy uses a problem specific knowledge A : uninformed Search B : Breadth-First-Search C : Heuristic Search D : Best search

Last Answer : C : Heuristic Search

Which of the following search strategy uses a problem specificknowledge A : uninformed Search B : Breadth-First-Search C : Heuristic Search D : Best search

Description : Which of the following search strategy uses a problem specificknowledge A : uninformed Search B : Breadth-First-Search C : Heuristic Search D : Best search

Last Answer : C : Heuristic Search

Which of the following search strategy uses a problem specific knowledge A : uninformed Search B : Breadth-First-Search C : Heuristic Search D : Best search

Description : Which of the following search strategy uses a problem specific knowledge A : uninformed Search B : Breadth-First-Search C : Heuristic Search D : Best search

Last Answer : C : Heuristic Search

The ____ level contains constituents at the third level which are knowledge based system, heuristic search, automatic theorem proving, multi-agent system. A. Cognition level B. Gross level C. Functional level D. All of above

Description : The ____ level contains constituents at the third level which are knowledge based system, heuristic search, automatic theorem proving, multi-agent system. A. Cognition level B. Gross level C. Functional level D. All of above

Last Answer : B. Gross level

2. ______ do not guarantee optimal/any solutions A. Heuristic B. Critical C. Value based D. Analytical

Description : 2. ______ do not guarantee optimal/any solutions A. Heuristic B. Critical C. Value based D. Analytical

Last Answer : A. Heuristic

A ____ is a rule of thumb, strategy, trick, simplification, or any other kind of device which drastically limits search for solutions in large problem spaces. A. Heuristic B. Critical C. Value based D. Analytical

Description : A ____ is a rule of thumb, strategy, trick, simplification, or any other kind of device which drastically limits search for solutions in large problem spaces. A. Heuristic B. Critical C. Value based D. Analytical

Last Answer : A. Heuristic

A heuristic is a rule of thumb------- (a) Strategy (b) Trick (c) Simplification (d) All of above

Description : A heuristic is a rule of thumb------- (a) Strategy (b) Trick (c) Simplification (d) All of above

Last Answer : (d) All of above

Which is the best way to go for Game playing problem? (A) Linear approach (B) Heuristic approach (C) Random approach (D) Optimal approach

Description : Which is the best way to go for Game playing problem? (A) Linear approach (B) Heuristic approach (C) Random approach (D) Optimal approach

Last Answer : (B) Heuristic approach

. Which attack is an HTTP attack which allows attackers to access restricted directories and execute commands outside the web servers root directory? a. XSS attack b. Path Traversal attack c. MITM attack d. SQL Injection attack

Description : . Which attack is an HTTP attack which allows attackers to access restricted directories and execute commands outside the web servers root directory? a. XSS attack b. Path Traversal attack c. MITM attack d. SQL Injection attack

Last Answer : d. SQL Injection attack

Which is used to improve the performance of heuristic search? a) Quality of nodes b) Quality of heuristic function c) Simple form of nodes d) None of the mentioned

Description : Which is used to improve the performance of heuristic search? a) Quality of nodes b) Quality of heuristic function c) Simple form of nodes d) None of the mentioned

Last Answer : b) Quality of heuristic function

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. 

Palliation refers to a) relief of symptoms associated with cancer. Palliation is the goal for care in terminal cancer patients. b) hair loss. Alopecia is the term that refers to hair loss. c) the spread of cancer cells from the primary tumor to distant sites. Metastasis is the term that refers to the spread of cancer cells from the primary tumor to distant sites. d) the lowest point of white blood cell depression after therapy that has toxic effects on the bone marrow. Nadir is the term that refers to the lowest point of white blood cell depression after therapy that has toxic effects on the bone marrow.

Description : Palliation refers to a) relief of symptoms associated with cancer. Palliation is the goal for care in terminal cancer patients. b) hair loss. Alopecia is the term that refers to hair loss. c) ... the lowest point of white blood cell depression after therapy that has toxic effects on the bone marrow.

Last Answer : a) relief of symptoms associated with cancer. Palliation is the goal for care in terminal cancer patients.

Adrenaline directly affects on (a) SA node (b) β-cells of Langerhans (c) dorsal root of spinal nerve (d) epithelial cells of stomach.

Description : Adrenaline directly affects on (a) SA node (b) β-cells of Langerhans (c) dorsal root of spinal nerve (d) epithelial cells of stomach.

Last Answer : (a) SA node

State true or false. i) The degree of root node is always zero. ii) Nodes that are not root and not leaf are called as internal nodes. A) True, True B) True, False C) False, True D) False, False

Description : State true or false. i) The degree of root node is always zero. ii) Nodes that are not root and not leaf are called as internal nodes. A) True, True B) True, False C) False, True D) False, False

Last Answer : C) False, True

For any B-tree of minimum degree t ≥2, every node other than the root must have atleast ............... keys and every node can have at most .............. keys. (A) t-1, 2t+1 (B) t+1, 2t+1 (C) t-1, 2t-1 (D) t+1, 2t-1

Description : For any B-tree of minimum degree t ≥2, every node other than the root must have atleast ............... keys and every node can have at most .............. keys. (A) t-1, 2t+1 (B) t+1, 2t+1 (C) t-1, 2t-1 (D) t+1, 2t-1

Last Answer : (C) t-1, 2t-1 

Consider the following game tree in which root is a maximizing node and children are visited left to right. What nodes will be pruned by the alphabeta pruning? (A) I (B) HI (C) CHI (D) GHI

Description : Consider the following game tree in which root is a maximizing node and children are visited left to right. What nodes will be pruned by the alphabeta pruning?  (A) I (B) HI (C) CHI (D) GHI

Last Answer : (B) HI

Consider the following binary search tree: Image If we remove the root node, which of the node from the left subtree will be the new root? (A) 11 (B) 12 (C) 13 (D) 16

Description : Consider the following binary search tree: If we remove the root node, which of the node from the left subtree will be the new root? (A) 11 (B) 12 (C) 13 (D) 16

Last Answer : (D) 16