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

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
by

1 Answer

Answer :

a) True
by

Related questions

__________ algorithm keeps track of k states rather than just one. a) Hill-Climbing search b) Local Beam search c) Stochastic hill-climbing search d) Random restart hill-climbing search

Description : __________ algorithm keeps track of k states rather than just one. a) Hill-Climbing search b) Local Beam search c) Stochastic hill-climbing search d) Random restart hill-climbing search

Last Answer : b) Local Beam search

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

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Last Answer : a) True

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

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Last Answer : d) Both Mutation & Cross-over

Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move. a) True b) False

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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 . All of the above

Standard planning algorithms assumes environment to be ___________ a) Deterministic b) Fully observable c) Single agent d) Stochastic

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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

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Last Answer : a) True

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

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Which is true regarding BFS (Breadth First Search)? a) BFS will get trapped exploring a single path b) The entire tree so far been generated must be stored in BFS c) BFS is not guaranteed to find a solution if exists d) BFS is nothing but Binary First Search

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A game can be formally defined as a kind of search problem with the following components. a) Initial State b) Successor Function c) Terminal Test d) All of the mentioned

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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

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Last Answer : a) Pruned leaves x and y

State true of false. i) A node is a parent if it has successor nodes. ii) A node is child node if out degree is one. A) True, True B) True, False C) False, True D) False, False

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Last Answer : B) True, False

The Set of actions for a problem in a state space is formulated by a ___________ a) Intermediate states b) Initial state c) Successor function, which takes current action and returns next immediate state d) None of the mentioned

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Last Answer : c) Successor function, which takes current action and returns next immediate state

What kind of behavior does the stochastic environment posses? a) Local b) Deterministic c) Rational d) Primary

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Last Answer : a) Local

What kind of environment is strategic in artificial intelligence? a) Deterministic b) Rational c) Partial d) Stochastic

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Last Answer : a) Deterministic

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

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Three main basic features involved in characterizing membership function are A. Intution, Inference, Rank Ordering B. Fuzzy Algorithm, Neural network, Genetic Algorithm C. Core, Support , Boundary D. Weighted Average, center of Sums, Median

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

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

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

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

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

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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

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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

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The term ___________ is used for a depth-first search that chooses values for one variable at a time and returns when a variable has no legal values left to assign. a) Forward search b) Backtrack search c) Hill algorithm d) Reverse-Down-Hill search

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______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill. a) Up-Hill Search b) Hill-Climbing c) Hill algorithm d) Reverse-Down-Hill search

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A* algorithm is based on ___________ a) Breadth-First-Search b) Depth-First –Search c) Best-First-Search d) Hill climbing

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Which search algorithm imposes a fixed depth limit on nodes? a) Depth-limited search b) Depth-first search c) Iterative deepening search d) Bidirectional search

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Which algorithm is used to solve any kind of problem? a) Breadth-first algorithm b) Tree algorithm c) Bidirectional search algorithm d) None of the mentioned

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A search algorithm takes _________ as an input and returns ________ as an output. a) Input, output b) Problem, solution c) Solution, problem d) Parameters, sequence of actions

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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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How many successors are generated in backtracking search? a) 1 b) 2 c) 3 d) 4

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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

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Define Successor function.

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Last Answer : A value can be assigned to any unassigned variable, provided that does not conflict with previously assigned variables.

Uninformed search strategies are better than informed search strategies. a) True b) False

Description : Uninformed search strategies are better than informed search strategies. a) True b) False

Last Answer : a) True

Which algorithm is used as a general variant of a theorems, in the domain of integral numbers: a. Multiplication algorithm c. Addition algorithm d. Simple algorithm

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Last Answer : c. Addition algorithm

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

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There exists two way to infer using semantic networks in which knowledge is represented as Frames. 1) Intersection Search 2) Inheritance Search a) True b) False

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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

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Inheritance Search a) True b) False

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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

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Breadth-first search is not optimal when all step costs are equal, because it always expands the shallowest unexpanded node. a) True b) False

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Last Answer : b) False

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

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

Expert systems 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. an information base filled with the knowledge of an expert formulated in terms of if-then rules D . None of these

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Last Answer : C. an information base filled with the knowledge of an expert formulated in terms of if-then rules

How many states are available in state-space search? a) 1 b) 2 c) 3 d) 4

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The game of Poker is a single agent. a) True b) False

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Last Answer : b) False