Web Crawler is a/an ____________ a) Intelligent goal-based agent b) Problem-solving agent

Web Crawler is a/an ____________

a) Intelligent goal-based agent

b) Problem-solving agent
by

1 Answer

Answer :

a) Intelligent goal-based agent
by

Related questions

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

The CAI (Computer-Assisted Instruction) technique based on programmed instruction is __________ a) frame-based CAI b) generative CAI c) problem-solving CAI d) intelligent CAI

Description : The CAI (Computer-Assisted Instruction) technique based on programmed instruction is __________ a) frame-based CAI b) generative CAI c) problem-solving CAI d) intelligent CAI

Last Answer : a) frame-based CAI

The component of an ICAI (Intelligent Computer Assisted Instruction) presenting information to the student is the? a) Student model b) Problem solving expertise c) Tutoring module d) All of the mentioned

Description : The component of an ICAI (Intelligent Computer Assisted Instruction) presenting information to the student is the? a) Student model b) Problem solving expertise c) Tutoring module d) All of the mentioned

Last Answer : c) Tutoring module

A plan that describe how to take actions in levels of increasing refinement and specificity is ____________ a) Problem solving b) Planning c) Non-hierarchical plan d) Hierarchical plan

Description : A plan that describe how to take actions in levels of increasing refinement and specificity is ____________ a) Problem solving b) Planning c) Non-hierarchical plan d) Hierarchical plan

Last Answer : d) Hierarchical plan

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

Define problem solving agent.

Description : Define problem solving agent.

Last Answer : Problem solving agent is one kind of goal based agent, where the agent Should select one action from sequence of actions which lead to desirable states. 

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

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

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

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

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 E. None of the above

Last Answer : A. Heuristic 

Shaping teaching techniques to fit the learning patterns of individual students is the goal of __________ a) decision support b) automatic programming c) intelligent computer-assisted instruction d) expert systems

Description : Shaping teaching techniques to fit the learning patterns of individual students is the goal of __________ a) decision support b) automatic programming c) intelligent computer-assisted instruction d) expert systems

Last Answer : c) intelligent computer-assisted instruction

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

If a robot can alter its own trajectory in response to external conditions, it is considered to be ____________ a) intelligent b) mobile c) open loop d) non-servo

Description : If a robot can alter its own trajectory in response to external conditions, it is considered to be ____________ a) intelligent b) mobile c) open loop d) non-servo

Last Answer : a) intelligent

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

What is the structure of intelligent Agent?

Description : What is the structure of intelligent Agent?

Last Answer : Intelligent Agent = Architecture + Agent Program 

Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard

Description : Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard

Last Answer : b) NP complete

What is the major component/components for measuring the performance of problem solving? a) Completeness b) Optimality c) Time and Space complexity d) All of the mentioned

Description : What is the major component/components for measuring the performance of problem solving? a) Completeness b) Optimality c) Time and Space complexity d) All of the mentioned

Last Answer : d) All of the mentioned

A problem solving approach works well for ______________ a) 8-Puzzle problem b) 8-queen problem c) Finding a optimal path from a given source to a destination d) Mars Hover (Robot Navigation)

Description : A problem solving approach works well for ______________ a) 8-Puzzle problem b) 8-queen problem c) Finding a optimal path from a given source to a destination d) Mars Hover (Robot Navigation)

Last Answer : d) Mars Hover (Robot Navigation)

Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. a) True – this works always, and these multiple perceptrons learn to classify even complex problems. b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded d) False – just having a single perceptron is enough

Description : Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. ... have to be explicitly hand-coded d) False - just having a single perceptron is enough

Last Answer : c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded

List the steps involved in simple problem solving technique.

Description : List the steps involved in simple problem solving technique.

Last Answer : i. Goal formulation ii. Problem formulation iii. Search iv. Solution v. Execution phase

____________ planning allows the agent to take advice from the domain designer in the form of decomposition rules. a) GraphPlan b) Hierarchical task network (HTN) c) SatPlan d) None of the mentioned

Description : ____________ planning allows the agent to take advice from the domain designer in the form of decomposition rules. a) GraphPlan b) Hierarchical task network (HTN) c) SatPlan d) None of the mentioned

Last Answer : b) Hierarchical task network (HTN)

General games involves ____________ a) Single-agent b) Multi-agent c) Neither Single-agent nor Multi-agent d) Only Single-agent and Multi-agent

Description : General games involves ____________ a) Single-agent b) Multi-agent c) Neither Single-agent nor Multi-agent d) Only Single-agent and Multi-agent

Last Answer : d) Only Single-agent and Multi-agent

The Task Environment of an agent consists of ____________ a) Sensors b) Actuators c) Performance Measures d) All of the mentioned

Description : The Task Environment of an agent consists of ____________ a) Sensors b) Actuators c) Performance Measures d) All of the mentioned

Last Answer : d) All of the mentioned

Agents behavior can be best described by ____________ a) Perception sequence b) Agent function c) Sensors and Actuators d) Environment in which agent is performing

Description : Agents behavior can be best described by ____________ a) Perception sequence b) Agent function c) Sensors and Actuators d) Environment in which agent is performing

Last Answer : b) Agent function

What is the problem space of means-end analysis? a) An initial state and one or more goal states b) One or more initial states and one goal state c) One or more initial states and one or more goal state d) One initial state and one goal state

Description : What is the problem space of means-end analysis? a) An initial state and one or more goal states b) One or more initial states and one goal state c) One or more initial states and one or more goal state d) One initial state and one goal state

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

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

Description : 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

Last Answer : b) Backward chaining

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

Backtracking is based on ____________ a) Last in first out b) First in first out c) Recursion d) Both Last in first out & Recursion

Description : Backtracking is based on ____________ a) Last in first out b) First in first out c) Recursion d) Both Last in first out & Recursion

Last Answer : d) Both Last in first out & Recursion

A knowledge-based agent can combine general knowledge with current percepts to infer hidden aspects of the current state prior to selecting actions. a) True b) False

Description : A knowledge-based agent can combine general knowledge with current percepts to infer hidden aspects of the current state prior to selecting actions. a) True b) False

Last Answer : a) True

Which agent deals with happy and unhappy states? a) Simple reflex agent b) Model based agent c) Learning agent d) Utility based agent

Description : Which agent deals with happy and unhappy states? a) Simple reflex agent b) Model based agent c) Learning agent d) Utility based agent

Last Answer : d) Utility based agent

What are the three levels in describing knowledge based agent?

Description : What are the three levels in describing knowledge based agent?

Last Answer : Logical level Implementation level Knowledge level or epistemological level

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 

The Newell and Simon program that proved theorems of Principal Mathematical was ____________ a) Elementary Perceiver b) General Problem Solver c) Logic Theorist d) Boolean Algebra

Description : The Newell and Simon program that proved theorems of Principal Mathematical was ____________ a) Elementary Perceiver b) General Problem Solver c) Logic Theorist d) Boolean Algebra

Last Answer : c) Logic Theorist

The famous spare tire problem or Scheduling classes for bunch of students or Air cargo transport are the best example of ____________ a) Planning problem b) Partial Order planning problem c) Total order planning d) None of the mentioned

Description : The famous spare tire problem or Scheduling classes for bunch of students or Air cargo transport are the best example of ____________ a) Planning problem b) Partial Order planning problem c) Total order planning d) None of the mentioned

Last Answer : a) Planning problem

The process by which the brain orders actions needed to complete a specific task is referred as ____________ a) Planning problem b) Partial order planning c) Total order planning d) Both Planning problem & Partial order planning

Description : The process by which the brain orders actions needed to complete a specific task is referred as ____________ a) Planning problem b) Partial order planning c) Total order planning d) Both Planning problem & Partial order planning

Last Answer : d) Both Planning problem & Partial order planning

____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the mentioned

Description : ____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the mentioned

Last Answer : b) Dynamic CSPs

To overcome the need to backtrack in constraint satisfaction problem can be eliminated by ____________ a) Forward Searching b) Constraint Propagation c) Backtrack after a forward search d) Omitting the constraints and focusing only on goals

Description : To overcome the need to backtrack in constraint satisfaction problem can be eliminated by ____________ a) Forward Searching b) Constraint Propagation c) Backtrack after a forward search d) Omitting the constraints and focusing only on goals

Last Answer : a) Forward Searching

A production rule consists of ____________ a) A set of Rule b) A sequence of steps c) Set of Rule & sequence of steps d) Arbitrary representation to problem

Description : A production rule consists of ____________ a) A set of Rule b) A sequence of steps c) Set of Rule & sequence of steps d) Arbitrary representation to problem

Last Answer : c) Set of Rule & sequence of steps

What is the action of task environment in artificial intelligence? a) Problem b) Solution c) Agent d) Observation

Description : What is the action of task environment in artificial intelligence? a) Problem b) Solution c) Agent d) Observation

Last Answer : a) Problem

Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned

Description : Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned

Last Answer : c) Design problem

What is called an exploration problem? a) State and actions are unknown to the agent b) State and actions are known to the agent c) Only actions are known to agent d) None of the mentioned

Description : What is called an exploration problem? a) State and actions are unknown to the agent b) State and actions are known to the agent c) Only actions are known to agent d) None of the mentioned

Last Answer : a) State and actions are unknown to the agent

In which agent does the problem generator is present? a) Learning agent b) Observing agent c) Reflex agent d) None of the mentioned

Description : In which agent does the problem generator is present? a) Learning agent b) Observing agent c) Reflex agent d) None of the mentioned

Last Answer : a) Learning agent

Which algorithm is used for solving temporal probabilistic reasoning? a) Hill-climbing search b) Hidden markov model c) Depth-first search d) Breadth-first search

Description : Which algorithm is used for solving temporal probabilistic reasoning? a) Hill-climbing search b) Hidden markov model c) Depth-first search d) Breadth-first search

Last Answer : b) Hidden markov model

Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query

Description : Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query

Last Answer : d) Answering probabilistic query

If a robot can alter its own trajectory in response to external conditions, it is considered to be __________ a) intelligent b) mobile c) open loop d) non-servo

Description : If a robot can alter its own trajectory in response to external conditions, it is considered to be __________ a) intelligent b) mobile c) open loop d) non-servo

Last Answer : a) intelligent

What is Artificial intelligence? a) Putting your intelligence into Computer b) Programming with your own intelligence c) Making a Machine intelligent d) Playing a Game

Description : What is Artificial intelligence? a) Putting your intelligence into Computer b) Programming with your own intelligence c) Making a Machine intelligent d) Playing a Game

Last Answer : c) Making a Machine intelligent

A computer program that contains expertise in a particular domain is called? a) intelligent planner b) automatic processor c) expert system d) operational symbolizer

Description : A computer program that contains expertise in a particular domain is called? a) intelligent planner b) automatic processor c) expert system d) operational symbolizer

Last Answer : c) expert system

Research scientists all over the world are taking steps towards building computers with circuits patterned after the complex interconnections existing among the human brain’s nerve cells. What name is given to such type of computers? a) Intelligent computers b) Supercomputers c) Neural network computers d) Smart computers

Description : Research scientists all over the world are taking steps towards building computers with circuits patterned after the complex interconnections existing among the human brain's nerve cells. What name ... ? a) Intelligent computers b) Supercomputers c) Neural network computers d) Smart computers

Last Answer : c) Neural network computers

What is Artificial intelligence? a) Putting your intelligence into Computer b) Programming with your own intelligence c) Making a Machine intelligent d) Playing a Game

Description : What is Artificial intelligence? a) Putting your intelligence into Computer b) Programming with your own intelligence c) Making a Machine intelligent d) Playing a Game

Last Answer : c) Making a Machine intelligent