Define State Space.

1 Answer

Answer :

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

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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 : 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 : 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 : 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 : What is metalevel state space?

Last Answer : Each state in a metalevel state space captures the internal state of a program that is searching in an object level 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 : Define Information Extraction.

Last Answer : It is a process of creating database entries by skimming a text and looking for occurrences of a particular class of object.

Description : Define Information Retrieval (IR).

Last Answer :  IR is the task of finding documents that are relevant to user’s need for information. 

Description : Define Segmentation?

Last Answer :  The process of finding the words boundaries in a text with no spaces. 

Description : Define Discourse understanding.

Last Answer :  A discourage is any string of language usually one that is more than one sentence long. 

Description : Define Disambiguation.

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Description : Define Ambiguity.

Last Answer :  The sentence that does not provide exact meaning are called ambiguous sentence. 

Description : Define Sub categorization.

Last Answer : E 2 eliminates VP by mentioning which phrases can allow which verbs which are known as sub categorization.

Description : Define DCG.

Last Answer : The method of rewriting the existing rules in the grammar by the method of augmentation is called as DCG (Define Clause Grammar). 

Description : Define Augmentation.

Last Answer : The process of adding the existing rules of a grammar instead of introducing new rules. It is called Augmentation.

Description : Define Bottom up parsing.

Last Answer :  We start from the leaf nodes (i.e.) with the words and search for a tree with root S. 

Description : Define Top down parsing. 

Last Answer :  It starts with root node S and search for a tree that has the words as it leaves. 

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Last Answer : Parsing is the process of finding a parse tree for a given input string. It is also known as syntactic analysis.

Description : Define Semantic Interpretation.

Last Answer :  The process of extracting the meaning of an utterance an expression in some representation language. 

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