What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both Decision-making & Learning algorithm

What can operate over the joint state space?
a) Decision-making algorithm
b) Learning algorithm
c) Complex algorithm
d) Both Decision-making & Learning algorithm
by

1 Answer

Answer :

d) Both Decision-making & Learning algorithm
by

Related questions

General algorithm applied on game tree for making decision of win/lose is ____________ a) DFS/BFS Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) MIN/MAX Algorithms

Description : General algorithm applied on game tree for making decision of win/lose is ____________ a) DFS/BFS Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) MIN/MAX Algorithms

Last Answer : d) MIN/MAX Algorithms

The minimax algorithm computes the minimax decision from the current state. It uses a simple recursive computation of the minimax values of each successor state, directly implementing the defining equations. The recursion proceeds all the way down to the leaves of the tree, and then the minimax values are backed up through the tree as the recursion unwinds. a) True b) False

Description : The minimax algorithm computes the minimax decision from the current state. It uses a simple recursive computation of the minimax values of each successor state, directly implementing the defining equations. The ... are backed up through the tree as the recursion unwinds. a) True b) False

Last Answer : a) True

Decision Tree is a display of an algorithm. a) True b) False

Description : Decision Tree is a display of an algorithm. a) True b) False

Last Answer : a) True

Define PAC – Learning Algorithm.

Description : Define PAC – Learning Algorithm.

Last Answer : An learning algorithm that return hypotheses that are approximately correct is called PAC learning algorithm.

How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both Mutation & Cross-over

Description : How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both Mutation & Cross-over

Last Answer : d) Both Mutation & Cross-over

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 most straightforward approach for planning algorithm? a) Best-first search b) State-space search c) Depth-first search d) Hill-climbing search

Description : Which is the most straightforward approach for planning algorithm? a) Best-first search b) State-space search c) Depth-first search d) Hill-climbing search

Last Answer : b) State-space search

Which suggests the existence of an efficient recursive algorithm for online smoothing? a) Matrix b) Constant space c) Constant time d) None of the mentioned

Description : Which suggests the existence of an efficient recursive algorithm for online smoothing? a) Matrix b) Constant space c) Constant time d) None of the mentioned

Last Answer : b) Constant space

Which is omitted in prolog unification algorithm? a) Variable check b) Occur check c) Proposition check d) Both Occur & Proposition check

Description : Which is omitted in prolog unification algorithm? a) Variable check b) Occur check c) Proposition check d) Both Occur & Proposition check

Last Answer : b) Occur check

Which problem can frequently occur in backward chaining algorithm? a) Repeated states b) Incompleteness c) Complexity d) Both Repeated states & Incompleteness

Description : Which problem can frequently occur in backward chaining algorithm? a) Repeated states b) Incompleteness c) Complexity d) Both Repeated states & Incompleteness

Last Answer : d) Both Repeated states & Incompleteness

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

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

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

Last Answer : d) Both RBFS & SMA*

Which modifies the performance element so that it makes better decision? a) Performance element b) Changing element c) Learning element d) None of the mentioned

Description : Which modifies the performance element so that it makes better decision? a) Performance element b) Changing element c) Learning element d) None of the mentioned

Last Answer : c) Learning element

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

Evolutionary computation is A . Combining different types of method or information B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution. C. Decision support systems that contain an information base filled with the knowledge of an expert formulated in terms of if-then rules. D . None of these

Description : Evolutionary computation is A . Combining different types of method or information B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution. C. ... the knowledge of an expert formulated in terms of if-then rules. D . None of these

Last Answer : B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.

Which modifies the performance element so that it makes better decision? a) Performance element b) Changing element c) Learning element d) None of the mentioned

Description : Which modifies the performance element so that it makes better decision? a) Performance element b) Changing element c) Learning element d) None of the mentioned

Last Answer : c) Learning element

Which of the following is the model used for learning? a) Decision trees b) Neural networks c) Propositional and FOL rules d) All of the mentioned

Description : Which of the following is the model used for learning? a) Decision trees b) Neural networks c) Propositional and FOL rules d) All of the mentioned

Last Answer : d) All of the mentioned

Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned

Description : Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned

Last Answer : c) Metalevel state space

What are the two main features of Genetic Algorithm? a) Fitness function & Crossover techniques b) Crossover techniques & Random mutation c) Individuals among the population & Random mutation d) Random mutation & Fitness function

Description : What are the two main features of Genetic Algorithm? a) Fitness function & Crossover techniques b) Crossover techniques & Random mutation c) Individuals among the population & Random mutation d) Random mutation & Fitness function

Last Answer : a) Fitness function & Crossover techniques

In which of the following situations might a blind search be acceptable? a) Real life situation b) Complex game c) Small search space d) All of the mentioned

Description : In which of the following situations might a blind search be acceptable? a) Real life situation b) Complex game c) Small search space d) All of the mentioned

Last Answer : c) Small search space

In which of the following situations might a blind search be acceptable? a) real-life situation b) complex game c) small search space d) all of the mentioned

Description : In which of the following situations might a blind search be acceptable? a) real-life situation b) complex game c) small search space d) all of the mentioned

Last Answer : c) small search space

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

How the entries in the full joint probability distribution can be calculated? a) Using variables b) Using information c) Both Using variables & information d) None of the mentioned

Description : How the entries in the full joint probability distribution can be calculated? a) Using variables b) Using information c) Both Using variables & information d) None of the mentioned

Last Answer : b) Using information

Which of the following are the applications of Expert systems? a) Disease Diagnosis b) Planning and Scheduling c) Decision making d) All of the mentioned

Description : Which of the following are the applications of Expert systems? a) Disease Diagnosis b) Planning and Scheduling c) Decision making d) All of the mentioned

Last Answer : d) All of the mentioned

Search space A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query. C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these

Description : Search space A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query. C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these

Last Answer : A . The large set of candidate solutions possible for a problem

Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some value as input and produces some value as output. C. Science of making machines performs tasks that would require intelligence when performed by humans D . None of these

Description : Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some ... performs tasks that would require intelligence when performed by humans D . None of these

Last Answer : C. Science of making machines performs tasks that would require intelligence when performed by humans

What kind of observing environments are present in artificial intelligence? a) Partial b) Fully c) Learning d) Both Partial & Fully

Description : What kind of observing environments are present in artificial intelligence? a) Partial b) Fully c) Learning d) Both Partial & Fully

Last Answer : d) Both Partial & Fully

A genetic algorithm (or GA) is a variant of stochastic beam search in which successor states are generated by combining two parent states, rather than by modifying a single state. a) True b) False

Description : A genetic algorithm (or GA) is a variant of stochastic beam search in which successor states are generated by combining two parent states, rather than by modifying a single state. a) True b) False

Last Answer : a) True

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

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

Last Answer : d) Both Preconditions & Effects

What is Decision Tree? a) Flow-Chart b) Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label c) Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label d) None of the mentioned

Description : What is Decision Tree? a) Flow-Chart b) Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label c) ... branch represents outcome of test and each leaf node represents class label d) None of the mentioned

Last Answer : c) Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label

An algorithm A is admissible if ___________ a) It is not guaranteed to return an optimal solution when one exists b) It is guaranteed to return an optimal solution when one exists c) It returns more solutions, but not an optimal one d) It guarantees to return more optimal solutions

Description : An algorithm A is admissible if ___________ a) It is not guaranteed to return an optimal solution when one exists b) It is guaranteed to return an optimal solution when one exists c) It returns more solutions, but not an optimal one d) It guarantees to return more optimal solutions

Last Answer : b) It is guaranteed to return an optimal solution when one exists

An algorithm is complete if ____________ a) It terminates with a solution when one exists b) It starts with a solution c) It does not terminate with a solution d) It has a loop

Description : An algorithm is complete if ____________ a) It terminates with a solution when one exists b) It starts with a solution c) It does not terminate with a solution d) It has a loop

Last Answer : a) It terminates with a solution when one exists

A perceptron is a ______________ a) Feed-forward neural network b) Backpropagation algorithm c) Backtracking algorithm d) Feed Forward-backward algorithm

Description : A perceptron is a ______________ a) Feed-forward neural network b) Backpropagation algorithm c) Backtracking algorithm d) Feed Forward-backward algorithm

Last Answer : a) Feed-forward neural network

Which is used for utility functions in game playing algorithm? a) Linear polynomial b) Weighted polynomial c) Polynomial d) Linear weighted polynomial

Description : Which is used for utility functions in game playing algorithm? a) Linear polynomial b) Weighted polynomial c) Polynomial d) Linear weighted polynomial

Last Answer : d) Linear weighted polynomial

Which allows for a simple and matrix implementation of all the basic algorithm? a) HMM b) Restricted structure of HMM c) Temporary model

Description : Which allows for a simple and matrix implementation of all the basic algorithm? a) HMM b) Restricted structure of HMM c) Temporary model

Last Answer : b) Restricted structure of HMM

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

__________ algorithm translates a planning problem in to prepositional axioms. a) GraphPlan b) SatPlan c) Greedy d) None of the mentioned

Description : __________ algorithm translates a planning problem in to prepositional axioms. a) GraphPlan b) SatPlan c) Greedy d) None of the mentioned

Last Answer : b) SatPlan

Which is used to extract solution directly from the planning graph? a) Planning algorithm b) Graphplan c) Hill-climbing search d) All of the mentioned

Description : Which is used to extract solution directly from the planning graph? a) Planning algorithm b) Graphplan c) Hill-climbing search d) All of the mentioned

Last Answer : b) Graphplan

Which algorithm places two actions into a plan without specifying which should come first? a) Full-order planner b) Total-order planner c) Semi-order planner d) Partial-order planner

Description : Which algorithm places two actions into a plan without specifying which should come first? a) Full-order planner b) Total-order planner c) Semi-order planner d) Partial-order planner

Last Answer : d) Partial-order planner

Sussman Anomaly illustrates a weakness of interleaved planning algorithm. a) True b) False

Description : Sussman Anomaly illustrates a weakness of interleaved planning algorithm. a) True b) False

Last Answer : b) False

Which makes the complexity of the entire algorithm quadratic in the size? a) Clause b) Inference c) Resolution d) Occur check

Description : Which makes the complexity of the entire algorithm quadratic in the size? a) Clause b) Inference c) Resolution d) Occur check

Last Answer : d) Occur check

Which algorithm takes two sentences and returns a unifier? a) Inference b) Hill-climbing search c) Depth-first search d) Unify algorithm

Description : Which algorithm takes two sentences and returns a unifier? a) Inference b) Hill-climbing search c) Depth-first search d) Unify algorithm

Last Answer : d) Unify algorithm

An inference algorithm that derives only entailed sentences is called sound or truth-preserving. a) True b) False

Description : An inference algorithm that derives only entailed sentences is called sound or truth-preserving. a) True b) False

Last Answer : a) True

Which algorithm are in more similar to backward chaining algorithm? a) Depth-first search algorithm b) Breadth-first search algorithm c) Hill-climbing search algorithm d) All of the mentioned

Description : Which algorithm are in more similar to backward chaining algorithm? a) Depth-first search algorithm b) Breadth-first search algorithm c) Hill-climbing search algorithm d) All of the mentioned

Last Answer : a) Depth-first search algorithm

What will backward chaining algorithm will return? a) Additional statements b) Substitutes matching the query c) Logical statement d) All of the mentioned

Description : What will backward chaining algorithm will return? a) Additional statements b) Substitutes matching the query c) Logical statement d) All of the mentioned

Last Answer : b) Substitutes matching the query

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

Which are needed to compute the logical inference algorithm? a) Logical equivalence b) Validity c) Satisfiability d) All of the mentioned

Description : Which are needed to compute the logical inference algorithm? a) Logical equivalence b) Validity c) Satisfiability d) All of the mentioned

Last Answer : d) All of the mentioned

Which values are independant in minimax search algorithm? a) Pruned leaves x and y b) Every states are dependant c) Root is independant d) None of the mentioned

Description : Which values are independant in minimax search algorithm? a) Pruned leaves x and y b) Every states are dependant c) Root is independant d) None of the mentioned

Last Answer : a) Pruned leaves x and y

Which of the following algorithm is generally used CSP search algorithm? a) Breadth-first search algorithm b) Depth-first search algorithm c) Hill-climbing search algorithm d) None of the mentioned

Description : Which of the following algorithm is generally used CSP search algorithm? a) Breadth-first search algorithm b) Depth-first search algorithm c) Hill-climbing search algorithm d) None of the mentioned

Last Answer : b) Depth-first search algorithm

The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is called chronological-backtracking. It is also possible to go all the way to set of variable that caused failure. a) True b) False

Description : The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is ... also possible to go all the way to set of variable that caused failure. a) True b) False

Last Answer : a) True