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 : 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 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 : The basic inference mechanism in semantic network is to follow the links between the nodes. 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 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 : 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 : Frames in artificial intelligence is derived from semantic nets. 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 : Neurons or artificial neurons have the capability to model networks of original neurons as found in brain A. True B. False
Last Answer : A. True
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 : 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 : 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 : 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 : Define Semantic Interpretation.
Last Answer : The process of extracting the meaning of an utterance an expression in some representation language.
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 : Traditional set theory is also known as Crisp Set theory. a) True b) False
Description : Slots and facets are used in (A) Semantic Networks (B) Frames (C) Rules (D) All of these
Last Answer : (B) Frames
Description : Basic idea of an partitioned nets is to break network into spaces which consist of groups of nodes and arcs and regard each space as a node. 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 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? 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? (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 more general task of coreference resolution also includes identifying so-called “bridging relationships” involving referring expressions. a) True b) False
Description : A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say
Description : α |= β ‘(to mean that the sentence α entails the sentence β) if and only if, in every model in which α is _____ β is also _____ a) True, true b) True, false c) False, true
Last Answer : a) True, true
Description : The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is ... also possible to go all the way to set of variable that caused failure. a) True b) False
Description : Frame Relay networks offer an optioncalled ______________that sends voice through the network. A) VOFR B) FRAD C) MUX D) none of the above
Last Answer : VOFR
Description : Web 3.0 is also known as ________ a) Semantic Web b) Systematic Web c) Supportive Web d) Segmented We
Last Answer : Semantic Web
Description : The problem-solving agent with several immediate options of unknown value can decide what to do by just examining different possible sequences of actions that lead to states of known value, and then choosing the ... . This process of looking for such a sequence is called Search. a) True b) False
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
Description : Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Last Answer : a) Linear Functions
Description : Neural Networks are complex ______________with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Last Answer : b) Nonlinear Functions
Description : Core of soft Computing is A. Fuzzy Computing, Neural Computing, Genetic Algorithms B. Fuzzy Networks and Artificial Intelligence C. Artificial Intelligence and Neural Science D. Neural Science and Genetic Science
Last Answer : D. Neural Science and Genetic Science
Description : Perceptron is A. General class of approaches to a problem. B. Performing several computations simultaneously C. Structures in a database those are statistically relevant D. Simple forerunner of modern neural networks, without hidden layers
Last Answer : D. Simple forerunner of modern neural networks, without hidden layers
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