Description : What is the frame? 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 : 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 : 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 : Like semantic networks, frames can be queried using spreading activation. a) True b) False
Last Answer : a) True
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 : 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 : 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 : 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 extraction of the meaning of utterance? a) Syntactic b) Semantic c) Pragmatic d) None of the mentioned
Last Answer : b) Semantic
Description : Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. ... ) are true c) (i), (ii) and (iii) are true d) None of the mentioned
Last Answer : a) All of the mentioned are true
Description : Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works ... ) are true c) (i), (ii) and (iii) are true d) None of the mentioned
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
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 is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned
Description : Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in ... ) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
Last Answer : a) (ii) and (iii) are true
Description : What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ... true b) (i) and (iii) are true c) Only (i) d) All of the mentioned
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
Description : Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a ... ) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
Description : Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in ... b) (ii) is true c) (i) and (ii) are true d) None of the mentioned
Last Answer : c) (i) and (ii) are true
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 : The “Turing Machine” showed that you could use a/an _____ system to program any algorithmic task. a) binary b) electro-chemical c) recursive d) semantic
Last Answer : a) binary
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 : Frames in artificial intelligence is derived from semantic nets. a) True b) False
Description : The basic inference mechanism in semantic network is to follow the links between the nodes. a) True b) False
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 : Define Semantic Interpretation.
Last Answer : The process of extracting the meaning of an utterance an expression in some representation language.
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 : Which data structure conveniently used to implement BFS? a) Stacks b) Queues c) Priority Queues d) All of the mentioned
Last Answer : b) Queues
Description : What is state space? a) The whole problem b) Your Definition to a problem c) Problem you design d) Representing your problem with variable and parameter
Last Answer : d) Representing your problem with variable and parameter
Description : What are the components that are needed for representing a plan?
Last Answer : The components that are needed for representing a plan are: A set of plans steps. A set of ordering constraints.
Description : What are the components that are needed for representing an action?
Last Answer : The components that are needed for representing an action are: Action description. Precondition. Effect.
Description : Slots and facets are used in (A) Semantic Networks (B) Frames (C) Rules (D) All of these
Last Answer : (B) Frames
Description : Which of the following is an advantage of using an expert system development tool? a) imposed structure b) knowledge engineering assistance c) rapid prototyping d) all of the mentioned
Last Answer : d) all of the mentioned
Description : Parts-of-Speech tagging determines ___________ a) part-of-speech for each word dynamically as per meaning of the sentence b) part-of-speech for each word dynamically as per sentence structure c) all part-of-speech for a specific word given as input d) all of the mentioned
Description : Which is used to capture the internal structure of the phones? a) One-state phone model b) Two-state phone model c) Three-state phone mone d) All of the mentioned
Last Answer : c) Three-state phone mone
Description : ____________ is measured by the number of mental structures we use, how abstract they are, and how elaborate they interact to shape our perceptions. a) intrapersonal structure b) perceptual set c) self-justification d) none of the mentioned
Last Answer : d) none of the mentioned
Description : What is Decision Tree? a) Flow-Chart b) Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label c) ... branch represents outcome of test and each leaf node represents class label d) None of the mentioned
Last Answer : c) Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label
Description : To which does the local structure is associated? a) Hybrid b) Dependant c) Linear d) None of the mentioned
Last Answer : c) Linear
Description : How the compactness of the bayesian network can be described? a) Locally structured b) Fully structured c) Partial structure d) All of the mentioned
Last Answer : a) Locally structured
Description : Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex ... solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
Last Answer : d) Because it is the simplest linearly inseparable problem that exists.
Description : This set of Artificial Intelligence MCQs focuses on Neural Networks - 2 . 1. Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in ... by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
Description : ______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : A. Machine Learning
Description : Computer programs that mimic the way the human brain processes information is called as A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : The correct answer is: C. Neural Networks Neural Networks are computer programs or models that are designed to mimic the way the human brain processes information. They are a subset of ... advanced form of neural networks that uses multiple layers of artificial neurons to perform complex tasks.
Description : A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. a) Decision tree b) Graphs c) Trees d) Neural Networks
Last Answer : a) Decision tree