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 : 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 combines inductive methods with the power of first-order representations? a) Inductive programming b) Logic programming c) Inductive logic programming d) Lisp programming
Last Answer : c) Inductive logic programming
Description : Which is the first AI programming language? a) BASIC b) FORTRAN c) IPL(Inductive logic programming) d) LISP
Last Answer : d) LISP
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
Description : How many reasons are available for the popularity of ILP? a) 1 b) 2 c) 3 d) 4
Last Answer : c) 3
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 : Prolog is A. A programming language based on logic B. A computer where each processor has its own operating system, its own memory, and its own hard disk C. Describes the structure of the contents of a database D. None of these
Last Answer : A. A programming language based on logic
Description : Massively parallel machine is A. A programming language based on logic B. A computer where each processor has its own operating system, its own memory, and its own hard disk C. Describes the structure of the contents of a database. D. None of these
Last Answer : B. A computer where each processor has its own operating system, its own memory, and its own hard disk
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 : Define knowledge based Inductive learning.
Last Answer : KBIL algorithm finds inductive hypotheses that explain sets of observations with the help of background knowledge.
Description : Define Inductive Learning.
Last Answer : An algorithm for supervised learning is given as input the correct value of the unknown function for particular inputs and it must try to recover the unknown function.
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 : Define Logic
Last Answer : Logic is one which consist of i. A formal system for describing states of affairs, consisting of a) Syntax b)Semantics. ii. Proof Theory – a set of rules for deducing the entailment of a set sentences.
Description : How many literals are available in top-down inductive learning methods? a) 1 b) 2 c) 3 d) 4
Description : Computational learning theory analyzes the sample complexity and computational complexity of __________ a) Unsupervised Learning b) Inductive learning c) Forced based learning d) Weak learning
Last Answer : b) Inductive learning
Description : Inductive learning involves finding a __________ a) Consistent Hypothesis b) Inconsistent Hypothesis c) Regular Hypothesis d) Irregular Hypothesis
Last Answer : a) Consistent Hypothesis
Description : A _________ is used to demonstrate, on a purely syntactic basis, that one formula is a logical consequence of another formula. a) Deductive Systems b) Inductive Systems c) Reasoning with Knowledge Based Systems d) Search Based Systems
Last Answer : a) Deductive Systems
Description : Computational learning theory analyzes the sample complexity and computational complexity of a) Unsupervised Learning b) Inductive learning c) Forced based learning d) Weak learning e) Knowledge based learning
Description : Inductive learning involves finding a a) Consistent Hypothesis b) Inconsistent Hypothesis c) Regular Hypothesis d) Irregular Hypothesis e) Estimated Hypothesis
Description : Which of the following contains output segments of AI programming? a) Printed language and synthesized b) Manipulation of physical object c) Locomotion d) All of the mentioned
Last Answer : d) All of the mentioned
Description : Which technique is being investigated as an approach to automatic programming? a) generative CAI b) specification by example c) non-hierarchical planning d) all of the mentioned
Last Answer : b) specification by example
Description : Special programs that assist programmers are called ____________ a) heuristic processors b) symbolic programmers c) intelligent programming tools d) program recognizers
Last Answer : c) intelligent programming tools
Description : In AI programming, a list may contain ___________ a) cells b) fields c) pointers d) all of the mentioned
Last Answer : d) all of the mentioned
Description : Seymour Papert of the MIT AI lab created a programming environment for children called ___________ a) BASIC b) LOGO c) MYCIN d) FORTRAN
Last Answer : b) LOGO
Description : Input segments of AI programming contain(s)? a) sound b) smell c) touch d) none of the mentioned
Last Answer : d) none of the mentioned
Description : Which is not the commonly used programming language for AI? a) PROLOG b) Java c) LISP d) Perl
Last Answer : d) Perl
Description : What is Artificial intelligence? a) Putting your intelligence into Computer b) Programming with your own intelligence c) Making a Machine intelligent d) Playing a Game
Last Answer : c) Making a Machine intelligent
Description : Programming a robot by physically moving it through the trajectory you want it to follow is called _____________ a) contact sensing control b) continuous-path control c) robot vision control d) pick-and-place control
Last Answer : b) continuous-path control
Description : The symbols used in describing the syntax of a programming language are __________ a) 0 b) {} c) “” d)
Last Answer : d)
Description : Shaping teaching techniques to fit the learning patterns of individual students is the goal of __________ a) decision support b) automatic programming c) intelligent computer-assisted instruction d) expert systems
Last Answer : c) intelligent computer-assisted instruction
Description : Programming a robot by physically moving it through the trajectory you want it to follow be called __________ a) contact sensing control b) continuous-path control c) robot vision control d) pick-and-place control
Description : One method of programming a computer to exhibit human intelligence is called modeling or __________ a) simulation b) cognitization c) duplication d) psychic amelioration
Last Answer : a) simulation
Description : Which of the following contains the output segments of Artificial Intelligence programming? a) Printed language and synthesized speech b) Manipulation of physical object c) Locomotion d) All of the mentioned
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 : The first AI programming language was called: a. BASIC b. FORTRAN c. IPL d. LISP
Last Answer : c. IPL
Description : What is Artificial intelligence? a. Putting your intelligence into Computer b. Programming with your own intelligence c. Making a Machine intelligent d. Putting more memory into Computer
Last Answer : c. Making a Machine intelligent
Description : Which is not the commonly used programming language for AI? A. PROLOG B. LISP C. Perl D. Java script
Last Answer : C. Perl
Description : The first AI programming language was called: A. BASIC B. FORTRAN C. IPL D. LISP
Last Answer : C. IPL
Description : What is Artificial intelligence? A. Putting your intelligence into Computer B. Programming with your own intelligence C. Making a Machine intelligent D. Putting more memory into Computer
Last Answer : C. Making a Machine intelligent
Description : The first AI programming language was called: A. BASIC B. FORTRAN C. IPL D. LISP E. None of the above
Description : The Newell and Simon program that proved theorems of Principal Mathematical was ____________ a) Elementary Perceiver b) General Problem Solver c) Logic Theorist d) Boolean Algebra
Last Answer : c) Logic Theorist
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 : 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 : 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 : How is Fuzzy Logic different from conventional control methods? a) IF and THEN Approach b) FOR Approach c) WHILE Approach d) DO Approach
Last Answer : a) IF and THEN Approach
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