Description : What are the two subfields of Natural language processing? a) symbolic and numeric b) time and motion c) algorithmic and heuristic d) understanding and generation
Last Answer : c) algorithmic and heuristic
Description : A.M. turing developed a technique for determining whether a computer could or could not demonstrate the artificial Intelligence, Presently, this technique is called __________ a) Turing Test b) Algorithm c) Boolean Algebra d) Logarithm
Last Answer : a) Turing Test
Description : A.M. turing developed a technique for determining whether a computer could or could not demonstrate the artificial Intelligence,, Presently, this technique is called A. Turing Test B. Algorithm C. Boolean Algebra D. Logarithm E. None of the above
Last Answer : A. Turing Test
Description : A mouse device may be _____________ a) electro-chemical b) mechanical c) optical d) both mechanical and optical
Last Answer : d) both mechanical and optical
Description : What was originally called the “imitation game” by its creator? a) The Turing Test b) LISP c) The Logic Theorist d) Cybernetics
Last Answer : a) The Turing Test
Description : xpert Ease was developed under the direction of __________ a) John McCarthy b) Donald Michie c) Lofti Zadeh d) Alan Turing
Last Answer : b) Donald Michie
Description : What are the capabilities computers needs to pass total Turing test?
Last Answer : Computer Vision Robotics
Description : Define Total Turing Test?
Last Answer : The test which includes a video signals so that the interrogator can test the perceptual abilities of the machine.
Description : What are the capabilities, computer should posses to pass Turing test?
Last Answer : Natural Language Processing Knowledge representation Automated reasoning Machine Learning
Description : What is meant by Turing test?
Last Answer : To conduct this test we need two people and one machine. One person will be an interrogator (i.e.) questioner, will be asking questions to one person and one machine. Three of them will be ... Interrogator, the machine acts like a human. Programming a computer to pass Turing test is very difficult.
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 : Semantic grammars are _____________ a) Encode semantic information into a syntactic grammar b) Decode semantic information into a syntactic grammar c) Encode syntactic information into a semantic grammar d) Decode syntactic information into a semantic grammar
Last Answer : a) Encode semantic information into a syntactic grammar
Description : Which suggests the existence of an efficient recursive algorithm for online smoothing? a) Matrix b) Constant space c) Constant time d) None of the mentioned
Last Answer : b) Constant space
Description : Where does the dependance of experience is reflected in prior probability sentences? a) Syntactic distinction b) Semantic distinction c) Both Syntactic & Semantic distinction d) None of the mentioned
Last Answer : a) Syntactic distinction
Description : What kind of interpretation is done by adding context-dependant information? a) Semantic b) Syntactic c) Pragmatic d) None of the mentioned
Last Answer : c) Pragmatic
Description : What can’t be done in the semantic interpretation? a) Logical term b) Complete logical sentence c) Both Logical term & Complete logical sentence d) None of the mentioned
Last Answer : c) Both Logical term & Complete logical sentence
Description : What is the process of associating a FOL expression with a phrase? a) Interpretation b) Augmented reality c) Semantic interpretation d) Augmented interpretation
Last Answer : c) Semantic interpretation
Description : What is the extraction of the meaning of utterance? a) Syntactic b) Semantic c) Pragmatic d) None of the mentioned
Last Answer : b) Semantic
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 : 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 : Like semantic networks, frames can be queried using spreading activation. a) True b) False
Description : Frames in artificial intelligence is derived from semantic nets. a) True b) False
Description : Most semantic networks are not cognitive based. a) True b) False
Last Answer : b) False
Description : Semantic Network is also known as Frame networks. a) True b) False
Description : What are the limitations of the semantic networks? a) Intractability b) Lack in expressing some of the properties c) Incomplete d) Has memory constraints
Last Answer : b) Lack in expressing some of the properties
Description : A semantic network is used when one has knowledge that is best understood as a set of concepts that are related to one another. a) True b) False
Description : Which of the following is an extension of the semantic network? a) Expert Systems b) Rule Based Expert Systems c) Decision Tree Based networks d) Partitioned Networks
Last Answer : d) Partitioned Networks
Description : The basic inference mechanism in semantic network is to follow the links between the nodes. a) True b) False
Description : Which of the following are the Semantic Relations used in Semantic Networks? a) Meronymy b) Holonymy c) Hyponymy d) All of the mentioned
Last Answer : d) All of the mentioned
Description : Graph used to represent semantic network is _____________ a) Undirected graph b) Directed graph c) Directed Acyclic graph (DAG) d) Directed complete graph
Last Answer : b) Directed graph
Description : What are Semantic Networks? a) A way of representing knowledge b) Data Structure c) Data Type d) None of the mentioned
Last Answer : a) A way of representing knowledge
Description : The minimax algorithm computes the minimax decision from the current state. It uses a simple recursive computation of the minimax values of each successor state, directly implementing the defining equations. The ... are backed up through the tree as the recursion unwinds. a) True b) False
Description : Which search uses only the linear space for searching? a) Best-first search b) Recursive best-first search c) Depth-first search d) None of the mentioned
Last Answer : b) Recursive best-first search
Description : Define Semantic Interpretation.
Last Answer : The process of extracting the meaning of an utterance an expression in some representation language.
Description : _____ AI is able to perform dedicated task. A. Narrow AI B. General AI C. Neural AI D. None of above
Last Answer : A. Narrow AI
Description : Human to Machine is _____ and Machine to Machine is ______. A. Process, Process B. Process, Program C. Program, Hardware D. Program, Program
Last Answer : C. Program, Hardware
Description : Machine can perform any task better than human with cognitive properties is known as ___ AI. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : C. Super AI
Description : Which of the following task/tasks Artificial Intelligence could not do yet? a) Understand natural language robustly b) Web mining c) Construction of plans in real time dynamic systems d) All of the mentioned
Description : ____ AI is a type of intelligence which could perform any intellectual task with efficiency like human. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : B. General AI
Description : Machine learning invent by _____. A. John McCarthy B. Nicklaus Wirth C. Joseph Weizenbaum D. Arthur Samuel
Last Answer : D. Arthur Samuel
Description : Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics
Last Answer : B. Artificial neural networks
Description : K-means, self-organizing maps, hierarchical clustering are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning
Last Answer : B. Unsupervised learning
Description : Classifying email as a spam, labeling webpages based on their content, voice recognition are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning
Last Answer : A. Supervised learning
Description : Natural Language generation is the main task of Natural language processing. a) True b) False
Description : The more general task of coreference resolution also includes identifying so-called “bridging relationships” involving referring expressions. a) True b) False
Description : ____________ planning allows the agent to take advice from the domain designer in the form of decomposition rules. a) GraphPlan b) Hierarchical task network (HTN) c) SatPlan d) None of the mentioned
Last Answer : b) Hierarchical task network (HTN)
Description : The process by which the brain orders actions needed to complete a specific task is referred as ____________ a) Planning problem b) Partial order planning c) Total order planning d) Both Planning problem & Partial order planning
Last Answer : d) Both Planning problem & Partial order planning
Description : The process by which the brain incrementally orders actions needed to complete a specific task is referred as ______________ a) Planning problem b) Partial order planning c) Total order planning d) Both Planning problem & Partial order planning
Last Answer : b) Partial order planning
Description : What is the main task of a problem-solving agent? a) Solve the given problem and reach to goal b) To find out which sequence of action will get it to the goal state c) All of the mentioned d) None of the mentioned
Last Answer : c) All of the mentioned