Description : What is Morphological Segmentation? a) Does Discourse Analysis b) Separate words into individual morphemes and identify the class of the morphemes c) Is an extension of propositional logic d) None of the mentioned
Last Answer : b) Separate words into individual morphemes and identify the class of the morphemes
Description : Which is an appropriate language for describing the relationships? a) First-order logic b) Propositional logic c) ILP d) None of the mentioned
Last Answer : a) First-order logic
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 of the following is used for probability theory sentences? a) Conditional logic b) Logic c) Extension of propositional logic d) None of the mentioned
Last Answer : c) Extension of propositional logic
Description : Fuzzy logic is usually represented as a) IF-THEN-ELSE rules b) IF-THEN rules c) Both a & b d) None of the mentioned
Last Answer : b) IF-THEN rules
Description : Which is created by using single propositional symbol? a) Complex sentences b) Atomic sentences c) Composition sentences d) None of the mentioned
Last Answer : b) Atomic sentences
Description : Which produces hypotheses that are easy to read for humans? a) ILP b) Artificial intelligence c) Propositional logic d) First-order logic
Last Answer : a) ILP
Description : What is used for probability theory sentences? a) Conditional logic b) Logic c) Extension of propositional logic
Description : Planning problem can be described as a propositional logic. a) True b) False
Last Answer : a) True
Description : What are the two basic types of inferences? a) Reduction to propositional logic, Manipulate rules directly b) Reduction to propositional logic, Apply modus ponen c) Apply modus ponen, Manipulate rules directly
Last Answer : a) Reduction to propositional logic, Manipulate rules directly
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 : Define AND –Elimination rule in propositional logic
Last Answer : AND elimination rule states that from a given conjunction it is possible to inference any of the conjuncts.
Description : Define Modus Ponen’s rule in Propositional logic?
Last Answer : The standard patterns of inference that can be applied to derive chains of conclusions that lead to the desired goal is said to be Modus Ponen’s rule.
Description : What are the basic Components of propositional logic?
Last Answer : i. Logical Constants (True, False)
Description : PROLOG is an AI programming language which solves problems with a form of symbolic logic known as ______. A. Propositional logic B. Tautology C. Predicate calculus D. Temporal logic
Last Answer : C. Predicate calculus
Description : The concept derived from ________ level are propositional logic, tautology, predicate calculus, model, temporal logic. A. Cognition level B. Logic level C. Functional level D. All of above
Last Answer : B. Logic level
Description : Which kind of problem are suitable for planning graph? a) Propositional planning problem b) Planning problem c) Action problem d) None of the mentioned
Last Answer : a) Propositional planning problem
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 : Which of the following is the model used for learning? a) Decision trees b) Neural networks c) Propositional and FOL rules d) All of the mentioned
Last Answer : d) All of the mentioned
Description : Fuzzy logic is usually represented as ___________ a) IF-THEN-ELSE rules b) IF-THEN rules c) Both IF-THEN-ELSE rules & IF-THEN rules
Description : What are the 3 types of symbol which is used to indicate objects, relations and functions?
Last Answer : i) Constant symbols for objects ii) Predicate symbols for relations iii) Function symbols for functions
Description : With an example, show objects, properties functions and relations.
Last Answer : Example “EVIL KING JOHN BROTHER OF RICHARD RULED ENGLAND IN 1200” Objects : John, Richard, England, 1200 Relation : Ruled Properties : Evil, King Functions : BROTHER OF
Description : The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ a) Fuzzy Set b) Crisp Set c) Fuzzy & Crisp Set d) None of the mentioned
Last Answer : a) Fuzzy Set
Description : Computers normally solve problem by breaking them down into a series of yes-or-no decisions represented by 1s and 0s. What is the name of the logic that allows computers to assign numerical values that fail ... 0 and 1? a) Human logic b) Fuzzy logic c) Boolean logic d) Operational logic
Last Answer : b) Fuzzy logic
Description : What can be represented by using histograms or empirical frequency distributions? a) Words b) Color c) Texture d) Both Color & Texture
Last Answer : d) Both Color & Texture
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 of the following are the Semantic Relations used in Semantic Networks? a) Meronymy b) Holonymy c) Hyponymy d) All of the mentioned
Description : Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by ____________ a) Fuzzy Logic b) Word Sense Disambiguation c) Shallow Semantic Analysis d) All of the mentioned
Last Answer : b) Word Sense Disambiguation
Description : ____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
Last Answer : c) Fuzzy Set
Description : ______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned
Description : First Order Logic is also known as ___________ a) First Order Predicate Calculus b) Quantification Theory c) Lower Order Calculus d) All of the mentioned
Description : The statement comprising the limitations of FOL is/are ____________ a) Expressiveness b) Formalizing Natural Languages c) Many-sorted Logic d) All of the mentioned
Description : Which kind of agent architecture should an agent an use? a) Relaxed b) Logic c) Relational d) All of the mentioned
Description : ______ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
Description : What is Coreference Resolution? a) Anaphora Resolution b) Given a sentence or larger chunk of text, determine which words (“mentions”) refer to the same objects (“entities”) c) All of the mentioned d) None of the mentioned
Last Answer : b) Given a sentence or larger chunk of text, determine which words (“mentions”) refer to the same objects (“entities”)
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
Description : The values of the set membership is represented by ___________ a) Discrete Set b) Degree of truth c) Probabilities d) Both Degree of truth & Probabilities
Last Answer : b) Degree of truth
Description : The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c
Description : How the entries in the full joint probability distribution can be calculated? a) Using variables b) Using information c) Both Using variables & information d) None of the mentioned
Last Answer : b) Using information
Description : Which are recognized by vision? a) Objects b) Activities c) Motion d) Both Objects & Activities
Last Answer : d) Both Objects & Activities
Description : In propositional logic P↔Q is equivalent to (Where ~ denotes NOT): (A) ~(P∨Q)∧~(Q∨P) (B) (~P∨Q)∧(~Q∨P) (C) (P∨Q)∧(Q∨P) (D) ~(P∨Q)→~(Q∨P)
Last Answer : (B) (~P∨Q)∧(~Q∨P)
Description : In Propositional Logic, given P and P→Q, we can infer ........... (A) ~Q (B) Q (C) P∧Q (D) ~P∧Q
Last Answer : (B) Q
Description : 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
Last Answer : 1) Intersection Search
Description : What are the two major aspects which combines AI Planning problem? a) Search & Logic b) Logic & Knowledge Based Systems c) FOL & Logic d) Knowledge Based Systems
Last Answer : a) Search & Logic
Description : Using logic to represent and reason we can represent knowledge about the world with facts and rules. a) True b) False
Description : Which are partially captured by triphone model? a) Articulation effects b) Coarticulation effects c) Both Articulation & Coarticulation effects d) None of the mentioned
Last Answer : b) Coarticulation effects
Description : Which approach is used for refining a very general rule through ILP? a) Top-down approach b) Bottom-up approach c) Both Top-down & Bottom-up approach d) None of the mentioned
Last Answer : a) Top-down approach