There are primarily two modes for an inference engine: forward chaining and backward chaining.

a) True

b) False

1 Answer

Answer :

a) True

Related questions

Description : Which condition is used to cease the growth of forward chaining? a) Atomic sentences b) Complex sentences c) No further inference d) All of the mentioned

Last Answer : c) No further inference

Description : Forward chaining systems are _____________ where as backward chaining systems are ___________ a) Goal-driven, goal-driven b) Goal-driven, data-driven c) Data-driven, goal-driven d) Data-driven, data-driven

Last Answer : c) Data-driven, goal-driven

Description : Which is mainly used for automated reasoning? a) Backward chaining b) Forward chaining c) Logic programming d) Parallel programming

Last Answer : c) Logic programming

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

Description : In a backward chaining system you start with the initial facts, and keep using the rules to draw new conclusions (or take certain actions) given those facts. a) True b) False

Last Answer : b) False

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

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

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

Description : Define backward chaining.

Last Answer : This algorithm works backward from the goal, chaining through rules to find known facts that support the proof.

Description : How many possible sources of complexity are there in forward chaining? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

Description : Which knowledge base is called as fixed point? a) First-order definite clause are similar to propositional forward chaining b) First-order definite clause are mismatch to propositional forward chaining c) All of the mentioned d) None of the mentioned

Last Answer : a) First-order definite clause are similar to propositional forward chaining

Description : Reasoning strategies used in expert systems include ............... (A) Forward chaining, backward chaining and problem reduction (B) Forward chaining, backward chaining and boundary ... chaining, backward chaining and back propagation (D) Backward chaining, problem reduction and boundary mutation

Last Answer : (A) Forward chaining, backward chaining and problem reduction

Description : Forward chaining systems are ............. where as backward chaining systems are ................ (A) Data driven, Data driven (B) Goal driven, Data driven (C) Data driven, Goal driven (D) Goal driven, Goal driven

Last Answer : (C) Data driven, Goal driven 

Description : The basic inference mechanism in semantic network in which knowledge is represented as Frames is to follow the links between the nodes. a) True b) False

Last Answer : a) True

Description : The basic inference mechanism in semantic network is to follow the links between the nodes. a) True b) False

Last Answer : a) True

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

Last Answer : a) True

Description : A) Knowledge base (KB) is consists of set of statements. B) Inference is deriving a new sentence from the KB. Choose the correct option. a) A is true, B is true b) A is false, B is false c) A is true, B is false d) A is false, B is true

Last Answer : a) A is true, B is true

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

Description : A perceptron is a ——————————–. a) Feed-forward neural network b) Back-propagation algorithm c) Back-tracking algorithm d) Feed Forward-backward algorithm e) Optimal algorithm with Dynamic programming

Last Answer : a) Feed-forward neural network

Description : Which of the following, is a component of an expert system? a) inference engine b) knowledge base c) user interface d) all of the mentioned

Last Answer : d) all of the mentioned

Description : Which is true for Decision theory? a) Decision Theory = Probability theory + utility theory b) Decision Theory = Inference theory + utility theory c) Decision Theory = Uncertainty + utility theory d) Decision Theory = Probability theory + preference

Last Answer : c) Decision Theory = Uncertainty + utility theory

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

Description : What is viewed as problem of probabilistic inference? a) Speech recognition b) Speaking c) Hearing d) Utterance

Last Answer : a) Speech recognition

Description : Which of the following strategies would NOT be effective at improving your communication competence? a) Recognize the people, objects, and situations remain stable over time b) Recognize that each ... frame of perception is unique c) Be active in perceiving d) Distinguish facts from inference

Last Answer : a) Recognize the people, objects, and situations remain stable over time

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

Description : Which process makes different logical expression looks identical? a) Lifting b) Unification c) Inference process d) None of the mentioned

Last Answer : b) Unification

Description : What is the process of capturing the inference process as a single inference rule? a) Ponens b) Clauses c) Generalized Modus Ponens d) Variables

Last Answer : c) Generalized Modus Ponens

Description : Lifted inference rules require finding substitutions that make different logical expressions looks identical. a) Existential Instantiation b) Universal Instantiation c) Unification d) Modus Ponen

Last Answer : c) Unification

Description : Which closely resembles propositional definite clause? a) Resolution b) Inference c) Conjunction d) First-order definite clauses

Last Answer : d) First-order definite clauses

Description : Which can be converted to inferred equivalent CNF sentence? a) Every sentence of propositional logic b) Every sentence of inference c) Every sentence of first-order logic d) All of the mentioned

Last Answer : c) Every sentence of first-order logic

Description : Which is a refutation complete inference procedure for propositional logic? a) Clauses b) Variables c) Propositional resolution d) Proposition

Last Answer : c) Propositional resolution

Description : Which is also called single inference rule? a) Reference b) Resolution c) Reform d) None of the mentioned

Last Answer : b) Resolution

Description : From which rule does the modus ponens are derived? a) Inference rule b) Module rule c) Both Inference & Module rule d) None of the mentioned

Last Answer : a) Inference rule

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

Description : In default logic, which of the following inference rules of the form is allowed? a) (A : B) / C b) A / (B : C) c) A / B d) A / B : C

Last Answer : a) (A : B) / C

Description : 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

Last Answer : C. Core, Support , Boundary

Description : Define a Complete inference procedure

Last Answer : An inference procedure is complete if it can derive all true conditions from a set of premises. 

Description : Define an inference procedure

Last Answer : An inference procedure reports whether or not a sentence is entiled by knowledge base provided a knowledge base and a sentence .An inference procedure i' can be described by the sentences that it can derive. If i ... base, we can write. KB --Alpha is derived from KB or i derives alpha from KB. 

Description : The network that involves backward links from output to the input and hidden layers is called _________ a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

Last Answer : c) Recurrent neural network

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 : 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 : The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

Last Answer : c) Recurrent neural network

Description : What is an auto-associative network? a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing

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Description : What is perceptron? a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback

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Last Answer : a) Forward state-space search

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 : 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

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Description : 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

Last Answer : b) Backtrack search