Artificial Intelligence MCQs

Page No. 36

Which of the following is not the style of inference?


aForward Chaining


bBackward Chaining


cResolution Refutation


d Modus Ponen


View Answer Modus Ponen

Lifted inference rules require finding substitutions that make different logical expressions looks identical.


aExistential Instantiation


bUniversal Instantiation


cUnification


d Modus Ponen


View Answer Unification

What among the following could the universal instantiation of ___________ For all x King(x) ^ Greedy(x) => Evil(x)


aKing(John) ^ Greedy(John) => Evil(John)


bKing(y) ^ Greedy(y) => Evil(y)


cKing(Richard) ^ Greedy(Richard) => Evil(Richard)


dAll of the mentioned


View Answer All of the mentioned

The corresponding Existential Instantiation rule: for the existential quantifier is slightly more complicated. For any sentence a, variable v, and constant symbol k that does not appear elsewhere in the knowledge base.


aTrue


bFalse


cTrue


dFalse


View Answer True

The rule of Universal Instantiation (UI for short) says that we can infer any sentence obtained by substituting a ground term (a term without variables) for the variable.


aTrue


bFalse


cTrue


dFalse


View Answer True

A knowledge engineer has the job of extracting knowledge from an expert and building the expert system knowledge base.


a True


b False


c True


d False


View Answer True

An expert system is a computer program that contains some of the subject-specific knowledge of one or more human experts.


a True


bFalse


c True


dFalse


View Answer True

___________ trees can be used to infer in Horn clause systems.


aMin/Max Tree


b And/Or Trees


cMinimum Spanning Trees


dBinary Search Trees


View Answer And/Or Trees

A Horn clause is a clause with _______ positive literal.


aAt least one


bAt most one


cNone


dAll


View Answer At most one

Forward chaining systems are _____________ where as backward chaining systems are ___________


aGoal-driven, goal-driven


bGoal-driven, data-driven


c Data-driven, goal-driven


dData-driven, data-driven



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