Which action sequences are used to achieve the agent’s goal? a) Search b) Plan c) Retrieve d) Both Search & Plan

Which action sequences are used to achieve the agent’s goal?
a) Search
b) Plan
c) Retrieve
d) Both Search & Plan
by

1 Answer

Answer :

d) Both Search & Plan
by

Related questions

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

Description : 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 ... . This process of looking for such a sequence is called Search. a) True b) False

Last Answer : a) True

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

A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum. a) True b) False

Description : A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum. a) True b) False

Last Answer : a) True

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

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 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 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

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

What are the composition for agents in artificial intelligence? a) Program b) Architecture c) Both Program & Architecture d) None of the mentioned

Description : What are the composition for agents in artificial intelligence? a) Program b) Architecture c) Both Program & Architecture d) None of the mentioned

Last Answer : c) Both Program & Architecture

What is the main task of a problem-solving agent? a) Solve the given problem and reach to goal b) To find out which sequence of action will get it to the goal state c) All of the mentioned d) None of the mentioned

Description : What is the main task of a problem-solving agent? a) Solve the given problem and reach to goal b) To find out which sequence of action will get it to the goal state c) All of the mentioned d) None of the mentioned

Last Answer : c) All of the mentioned

Uncertainty arises in the wumpus world because the agent’s sensors give only ___________ a) Full & Global information b) Partial & Global Information c) Partial & local Information d) Full & local information

Description : Uncertainty arises in the wumpus world because the agent’s sensors give only ___________ a) Full & Global information b) Partial & Global Information c) Partial & local Information d) Full & local information

Last Answer : c) Partial & local Information

Which approach is to pretend that a pure divide and conquer algorithm will work? a) Goal independence b) Subgoal independence c) Both Goal & Subgoal independence d) None of the mentioned

Description : Which approach is to pretend that a pure divide and conquer algorithm will work? a) Goal independence b) Subgoal independence c) Both Goal & Subgoal independence d) None of the mentioned

Last Answer : b) Subgoal independence

Searching using query on Internet is, use of ___________ type of agent. a) Offline agent b) Online agent c) Both Offline & Online agent d) Goal Based & Online agent

Description : Searching using query on Internet is, use of ___________ type of agent. a) Offline agent b) Online agent c) Both Offline & Online agent d) Goal Based & Online agent

Last Answer : d) Goal Based & Online agent

Selective retention occurs when? a) we process, store, and retrieve information that we have already selected, organized, and interpreted b) we make choices to experience particular stimuli c) we make choices to avoid particular stimuli d) we focus on specific stimuli while ignoring other stimuli

Description : Selective retention occurs when? a) we process, store, and retrieve information that we have already selected, organized, and interpreted b) we make choices to experience particular stimuli c ... choices to avoid particular stimuli d) we focus on specific stimuli while ignoring other stimuli

Last Answer : a) we process, store, and retrieve information that we have already selected, organized, and interpreted

Which cannot be taken as advantage for totally ordered plan search? a) Composition b) State search c) Problem decomposition d) None of the mentioned

Description : Which cannot be taken as advantage for totally ordered plan search? a) Composition b) State search c) Problem decomposition d) None of the mentioned

Last Answer : c) Problem decomposition

Which of the following search belongs to totally ordered plan search? a) Forward state-space search b) Hill-climbing search c) Depth-first search d) Breadth-first search

Description : Which of the following search belongs to totally ordered plan search? a) Forward state-space search b) Hill-climbing search c) Depth-first search d) Breadth-first search

Last Answer : a) Forward state-space search

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

Which strategy is used for delaying a choice during search? a) First commitment b) Least commitment c) Both First & Least commitment d) None of the mentioned

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Last Answer : b) Least commitment

What are taken into account of state-space search? a) Postconditions b) Preconditions c) Effects d) Both Preconditions & Effects

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Last Answer : d) Both Preconditions & Effects

Which search is complete and optimal when h(n) is consistent? a) Best-first search b) Depth-first search c) Both Best-first & Depth-first search d) A* search

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Last Answer : d) A* search

Which search algorithm will use limited amount of memory? a) RBFS b) SMA* c) Hill-climbing search algorithm d) Both RBFS & SMA*

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Which provides agents with information about the world they inhabit? a) Sense b) Perception c) Reading d) Hearing

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Which cannot be represented by a set of attributes? a) Program b) Three-dimensional configuration of a protein molecule c) Agents

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Zero sum games are the one in which there are two agents whose actions must alternate and in which the utility values at the end of the game are always the same. a) True b) False

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Mathematical game theory, a branch of economics, views any multi-agent environment as a game provided that the impact of each agent on the others is “significant,” regardless of whether the agents are cooperative or competitive. a) True b) False

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Last Answer : a) True

Which were built in such a way that humans had to supply the inputs and interpret the outputs? a) Agents b) AI system c) Sensor d) Actuators

Description : Which were built in such a way that humans had to supply the inputs and interpret the outputs? a) Agents b) AI system c) Sensor d) Actuators

Last Answer : b) AI system

What is rational at any given time depends on? a) The performance measure that defines the criterion of success b) The agent’s prior knowledge of the environment c) The actions that the agent can perform d) All of the mentioned

Description : What is rational at any given time depends on? a) The performance measure that defines the criterion of success b) The agent’s prior knowledge of the environment c) The actions that the agent can perform d) All of the mentioned

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Last Answer : a) True

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Last Answer : b) Agent function

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Last Answer : b) Learning

What is meant by agent’s percept sequence? a) Used to perceive the environment b) Complete history of actuator c) Complete history of perceived things d) None of the mentioned

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Last Answer : c) Complete history of perceived things

What among the following is/are the example of the intelligent agent/agents? a) Human b) Robot c) Autonomous Spacecraft d) All of the mentioned

Description : What among the following is/are the example of the intelligent agent/agents? a) Human b) Robot c) Autonomous Spacecraft d) All of the mentioned

Last Answer : d) All of the mentioned

Incorrect information results in unsatisfied preconditions for actions and plans _____________ detects violations of the preconditions for successful completion of the plan. a) Conditional Plan b) Conformant Planning c) Execution monitoring d) Both Conditional Plan & Execution monitoring

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What are present in the empty plan? a) Start b) Finish c) Modest d) Both Start & Finish

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What are the two major aspects which combines AI Planning problem? a) Search & Logic b) Logic & Knowledge Based Systems c) FOL & Logic d) Knowledge Based Systems

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Last Answer : a) Search & Logic

What are the main cons of hill-climbing search? a) Terminates at local optimum & Does not find optimum solution b) Terminates at global optimum & Does not find optimum solution c) Does not find optimum solution & Fail to find a solution

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Last Answer : a) Terminates at local optimum & Does not find optimum solution

Though local search algorithms are not systematic, key advantages would include __________ a) Less memory b) More time c) Finds a solution in large infinite space d) Less memory & Finds a solution in large infinite space

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Last Answer : d) Less memory & Finds a solution in large infinite space

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

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

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Last Answer : b) Uninformed Search

Write the time & space complexity associated with depth limited search.

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Last Answer : Time complexity =O (bd) ,  b-branching factor,  d-depth of tree Space complexity=o (bl)

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Last Answer : i. Relevance feedback  ii. Document classification  iii. Document clustering

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Last Answer : a) An initial state and one or more goal states

Which of the following is the component of learning system? a) Goal b) Model c) Learning rules d) All of the mentioned

Description : Which of the following is the component of learning system? a) Goal b) Model c) Learning rules d) All of the mentioned

Last Answer : d) All of the mentioned

Forward chaining systems are _____________ where as backward chaining systems are ___________ a) Goal-driven, goal-driven b) Goal-driven, data-driven c) Data-driven, goal-driven d) Data-driven, data-driven

Description : Forward chaining systems are _____________ where as backward chaining systems are ___________ a) Goal-driven, goal-driven b) Goal-driven, data-driven c) Data-driven, goal-driven d) Data-driven, data-driven

Last Answer : c) Data-driven, goal-driven

Which algorithm will work backward from the goal to solve a problem? a) Forward chaining b) Backward chaining c) Hill-climb algorithm d) None of the mentioned

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Last Answer : b) Backward chaining

Flexible CSPs relax on _______ a) Constraints b) Current State c) Initial State d) Goal State

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Last Answer : a) Constraints

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* 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

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

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