Description : There are primarily two modes for an inference engine: forward chaining and backward chaining. a) True b) False
Last Answer : a) True
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 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 : 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 : 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 : 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 : 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) 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 : 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 : Aristotle’s theory of syllogism and Descartes and kant’s critic of pure reasoning made knowledge on _____. A. Logic B. Computation logic C. Cognition logic D. All of above
Last Answer : A. Logic
Description : A perceptron is a ______________ a) Feed-forward neural network b) Backpropagation algorithm c) Backtracking algorithm d) Feed Forward-backward algorithm
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 : 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 : Define Inductive Logic Programming (ILP).
Last Answer : ILP techniques perform KBIL on knowledge that is expressed in first order logic. ILP methods can learn relational knowledge that is not expressible in attribute based systems.
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 : Once the logic of a network is laid out, the project manager will conduct a forward pass and a backward pass through the network. This will provide information regarding ______ and will identify ... C. Resource shortages, high risk activities D. The high risk activities, non-critical path
Last Answer : A. The total duration of the project, critical path
Description : The mean-end analysis process centers around the detection of differences between the current state and the goal state. Once such a difference is isolated, an operator that can reduce the difference ... (A) backward planning (B) goal stack planning (C) operator subgoaling (D) operator overloading
Last Answer : (C) operator subgoaling
Description : For evaporation of viscous solution in a multiple effect evaporator, the preferred feeding scheme is (A) Forward (B) Backward (C) Parallel (D) None of these
Last Answer : (B) Backward
Description : Which of the following is an example of active learning? a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Last Answer : a) News Recommender system
Description : Automated vehicle is an example of ______ a) Supervised learning b) Unsupervised learning c) Active learning d) Reinforcement learning
Last Answer : a) Supervised learning
Description : A completely automated chess engine (Learn from previous games) is based on? a) Strong Artificial Intelligence approach b) Weak Artificial Intelligence approach c) Cognitive Artificial Intelligence approach d) Applied Artificial Intelligence approach
Last Answer : a) Strong Artificial Intelligence approach
Description : Following is an example of active learning: a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Description : Automated vehicle is an example of ______. a) Supervised learning b) Unsupervised learning c) Active learning d) Reinforcement learning
Description : The explanation facility of an expert system may be used to ____________ a) construct a diagnostic model b) expedite the debugging process c) explain the system’s reasoning process d) explain the system’s reasoning process & expedite the debugging process
Last Answer : d) explain the system’s reasoning process & expedite the debugging process
Description : The characteristics of the computer system capable of thinking, reasoning and learning are known as ____________ a) machine intelligence b) human intelligence c) artificial intelligence d) virtual intelligence
Last Answer : c) artificial intelligence
Description : Which algorithm is used for solving temporal probabilistic reasoning? a) Hill-climbing search b) Hidden markov model c) Depth-first search d) Breadth-first search
Last Answer : b) Hidden markov model
Description : The primitives in probabilistic reasoning are random variables. a) True b) False
Description : Wumpus World is a classic problem, best example of _______ a) Single player Game b) Two player Game c) Reasoning with Knowledge d) Knowledge based Game
Last Answer : c) Reasoning with Knowledge
Description : Knowledge and reasoning also play a crucial role in dealing with __________________ environment. a) Completely Observable b) Partially Observable c) Neither Completely nor Partially Observable d) Only Completely and Partially Observable
Last Answer : b) Partially Observable
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 : ART (Automatic Reasoning Tool) is designed to be used on __________ a) LISP machines b) Personal computers c) Microcomputers d) All of the mentioned
Last Answer : a) LISP machines
Description : Which of the following is true in Statistical reasoning? a) The representation is extended to allow some kind of numeric measure of certainty to be associated with each statement b) The ... extended to allow some kind of numeric measure of certainty to be associated common to all statements
Last Answer : a) The representation is extended to allow some kind of numeric measure of certainty to be associated with each statement
Description : The explanation facility of an expert system may be used to __________ a) construct a diagnostic model b) expedite the debugging process c) explain the system’s reasoning process d) expedite the debugging process & explain the system’s reasoning process
Last Answer : d) expedite the debugging process & explain the system’s reasoning process
Description : In 1960s, _____ pushed the logical formalism to integrate reasoning with knowledge. A. Marvin Minsky B. Alain Colmerauer C. John McCarthy D. None of above
Last Answer : A. Marvin Minsky
Description : The characteristics of the computer system capable of thinking, reasoning and learning is known is A. machine intelligence B. human intelligence C. artificial intelligence D. virtual intelligence
Last Answer : C. artificial intelligence
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
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