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

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
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B. Gross level 
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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

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 

The concept derived from ________ level are propositional logic, tautology, predicate calculus, model, temporal logic. A. Cognition level B. Logic level C. Functional level D. All of above

Description : The concept derived from ________ level are propositional logic, tautology, predicate calculus, model, temporal logic. A. Cognition level B. Logic level C. Functional level D. All of above

Last Answer : B. Logic level 

The core components are constituents of AI are derived from A. Concept of logic B. Cognition C. Computation D. All of above

Description : The core components are constituents of AI are derived from A. Concept of logic B. Cognition C. Computation D. All of above

Last Answer : D. All of above 

Genetic Algorithm are a part of A . Evolutionary Computing B. inspired by Darwin's theory about evolution - "survival of the fittest" C. are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics D . All of the above

Description : Genetic Algorithm are a part of A . Evolutionary Computing B. inspired by Darwin's theory about evolution - "survival of the fittest" C. are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics D . All of the above

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Last Answer : d) MIN/MAX Algorithms

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Last Answer : d) All of the mentioned

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

Description : 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

Last Answer : c) Greedy local 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

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

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

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

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

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

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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

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 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

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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

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

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

Last Answer : a) Heuristic

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

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

Last Answer : A. Heuristic 

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 

What is the term used for describing the judgmental or commonsense part of problem solving? A. Heuristic B. Critical C. Value based D. Analytical E. None of the above

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Description : Aristotle’s theory of syllogism and Descartes and kant’s critic of pure reasoning made knowledge on _____. A. Logic B. Computation logic C. Cognition logic D. All of above 

Last Answer : A. Logic 

The concept derived from ________ level are propositional logic, tautology, predicate calculus, model, temporal logic. A. Cognition level B. Logic level C. Functional level D. All of above

Description : The concept derived from ________ level are propositional logic, tautology, predicate calculus, model, temporal logic. A. Cognition level B. Logic level C. Functional level D. All of above

Last Answer : B. Logic level

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Description : Charles Babbage and Boole who demonstrate the power of _______ A. Logic B. Computation logic C. Cognition logic D. All of above

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What is a top-down parser? a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual pre-terminal symbols are written b) Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual pre-terminal symbols are written c) Begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol S) d) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)

Description : What is a top-down parser? a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual pre-terminal symbols are written b) ... d) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)

Last Answer : a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual pre-terminal symbols are written

What is a top-down parser? a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written b) Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual preterminal symbols are written c) Begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol S) d) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)

Description : What is a top-down parser? a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written b) Begins ... ) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)

Last Answer : a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written

suppose you want to prove the isosceles triangle theorem by proving that JKL?

Description : suppose you want to prove the isosceles triangle theorem by proving that JKL?

Last Answer : L

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

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

The problem-solving agent with several immediate options of unknown value can decide what to do by just examining different possible sequences of actions that lead to states of known value, and then choosing the best sequence. This process of looking for such a sequence is called Search. a) True b) False

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Last Answer : a) True

Which search agent operates by interleaving computation and action? a) Offline search b) Online search c) Breadth-first search d) Depth-first search

Description : Which search agent operates by interleaving computation and action? a) Offline search b) Online search c) Breadth-first search d) Depth-first search

Last Answer : b) Online search

What are the things that agent knows in online search problems?

Description : What are the things that agent knows in online search problems?

Last Answer : a. Actions(s) b. Step cost function C(s, a, s’) c. Goal TEST(s)

Define Online Search agent.

Description : Define Online Search agent. 

Last Answer : Agent operates by interleaving computation and action (i.e.) first it takes an action, and then it observes the environment and computes the next action.

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

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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

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

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

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

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

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

Description : 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

Last Answer : c) algorithmic and heuristic

An AI 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 AI 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 : d. pattern matching

A bidirectional feedback loop links computer modelling with: a. artificial science b. heuristic processing c. human intelligence d. cognitive science

Description : A bidirectional feedback loop links computer modelling with: a. artificial science b. heuristic processing c. human intelligence d. cognitive science

Last Answer : d. cognitive science