What is metalevel state space?

1 Answer

Answer :

Each state in a metalevel state space captures the internal state of a program that is searching in an object level state space.

Related questions

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

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

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

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

Description : What is the other name of the backward state-space search? a) Regression planning b) Progression planning c) State planning d) Test planning

Last Answer : a) Regression planning

Description : What is the main advantage of backward state-space search? a) Cost b) Actions c) Relevant actions d) All of the mentioned

Last Answer : c) Relevant actions

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

Last Answer : d) 4

Description : What is the other name for forward state-space search? a) Progression planning b) Regression planning c) Test planning d) None of the mentioned

Last Answer : a) Progression planning

Description : How many ways are available to solve the state-space search? a) 1 b) 2 c) 3 d) 4

Last Answer : b) 2

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

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

Description :  The initial state and the legal moves for each side define the __________ for the game. a) Search Tree b) Game Tree c) State Space Search d) Forest

Last Answer : b) Game Tree

Description : 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

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

Description : A problem in a search space is defined by one of these state. a) Initial state b) Last state c) Intermediate state d) All of the mentioned

Last Answer : a) Initial state

Description : What is state space? a) The whole problem b) Your Definition to a problem c) Problem you design d) Representing your problem with variable and parameter

Last Answer : d) Representing your problem with variable and parameter

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

Last Answer : d) Both Decision-making & Learning algorithm

Description : Explain State space representation of AI with help of Water jug problem.

Last Answer : "You are given two jugs, a 4-gallon one and a 3-gallon one. Neither has any measuring markers on it. There is a tap that can be used to fill the jugs with water. How can you get exactly 2 gallons of water into the 4-gallon jug?". ... the goal state=(2,0) (0,0) (0,3) (3,0) (3,3) (4,2) (0,2) (2,0)

Description : Define State Space.

Last Answer : The set of all possible states reachable from the initial state by any sequence of action is called state space.

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

Description : What is the name for space inside which a robot unit operates? a) environment b) spatial base c) work envelope d) exclusion zone

Last Answer : c) work envelope

Description : What will happen if the hypothesis space contains the true function? a) Realizable b) Unrealizable c) Both Realizable & Unrealizable d) None of the mentioned

Last Answer : b) Unrealizable

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

Description : Basic idea of an partitioned nets is to break network into spaces which consist of groups of nodes and arcs and regard each space as a node. a) True b) False

Last Answer : a) True

Description : 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

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

Description : Which search uses only the linear space for searching? a) Best-first search b) Recursive best-first search c) Depth-first search d) None of the mentioned

Last Answer : b) Recursive best-first search

Description : DFS is ______ efficient and BFS is __________ efficient. a) Space, Time b) Time, Space c) Time, Time d) Space, Space

Last Answer : a) Space, Time

Description : The time and space complexity of BFS is (For time and space complexity problems consider b as branching factor and d as depth of the search tree.) a) O(bd+1) and O(bd+1) b) O(b2) and O(d2) c) O(d2) and O(b2) d) O(d2) and O(d2)

Last Answer : a) O(bd+1) and O(bd+1)

Description : What is the space complexity of Depth-first search? a) O(b) b) O(bl) c) O(m) d) O(bm)

Last Answer : d) O(bm)

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

Description : What could possibly be the environment of a Satellite Image Analysis System? a) Computers in space and earth b) Image categorization techniques c) Statistical data on image pixel intensity value and histograms d) All of the mentioned

Last Answer : 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

Description : Vector A. It do not need the control of the human operator during their execution B. An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars C. The validation of a theory on the basis of a finite number of examples D. None of these

Last Answer : B. An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars

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

Description : What will happen if the hypothesis space contains the true function? a) Realizable b) Unrealizable c) Both a & b d) None of the mentioned

Last Answer : b) Unrealizable

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

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

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

Description : What is meant by predicting the value of a state variable from the past? a) Specular reflection b) Diffuse reflection c) Gaussian filter d) Smoothing

Last Answer : d) Smoothing

Description : Which is used to capture the internal structure of the phones? a) One-state phone model b) Two-state phone model c) Three-state phone mone d) All of the mentioned

Last Answer : c) Three-state phone mone

Description : What is a perception check? a) a cognitive bias that makes us listen only to information we already agree with b) a method teachers use to reward good listeners in the classroom c) ... that allows you to state your interpretation and ask your partner whether or not that interpretation is correct

Last Answer : d) a response that allows you to state your interpretation and ask your partner whether or not that interpretation is correct

Description : Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned

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Description : Which variable can give the concrete form to the representation of the transition model? a) Single variable b) Discrete state variable c) Random variable d) Both Single & Discrete state variable

Last Answer : d) Both Single & Discrete state variable

Description : How does the state of the process is described in HMM? a) Literal b) Single random variable c) Single discrete random variable d) None of the mentioned

Last Answer : c) Single discrete random variable

Description : Which is the complete specification of the state of the world? a) Atomic event b) Complex event c) Simple event d) None of the mentioned

Last Answer : a) Atomic event

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

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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

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Description : What will happen if a predecessor description is generated that is satisfied by the initial state of the planning problem? a) Success b) Error c) Compilation d) Termination

Last Answer : d) Termination

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

Description : 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

Last Answer : d) All of the mentioned

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

Last Answer : a) Constraints

Description : _______________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations. a) Constraints Satisfaction Problems b) Uninformed Search Problems c) Local Search Problems d) All of the mentioned

Last Answer : a) Constraints Satisfaction Problems