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 : Semantic Network is also known as Frame networks. 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 : 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
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 : 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 : 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 : 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 : 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 : Define Semantic Interpretation.
Last Answer : The process of extracting the meaning of an utterance an expression in some representation language.
Description : Which of the following is being investigated as a means of automating the creation of a knowledge base? a) automatic knowledge acquisition b) simpler tools c) discovery of new concepts d) all of the mentioned
Last Answer : d) all of the mentioned
Description : A) Knowledge base (KB) is consists of set of statements. B) Inference is deriving a new sentence from the KB. Choose the correct option. a) A is true, B is true b) A is false, B is false c) A is true, B is false d) A is false, B is true
Last Answer : a) A is true, B is true
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 : Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
Description : Traditional set theory is also known as Crisp Set theory. a) True b) False
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 : Membership function defines the fuzziness in a fuzzy set irrespective of the elements in the set, which are discrete or continuous. A. True B. False
Last Answer : B. False
Description : The main idea of Bidirectional search is to reduce the time complexity by searching two way simultaneously from start node and another from goal node. a) True b) False
Description : Which of the following is a knowledge representation technique used to represent knowledge about stereotype situation? (A) Semantic network (B) Frames (C) Scripts (D) Conceptual Dependency
Last Answer : (C) Scripts
Description : The local loop of the telephone system is understood to be A. a single piece of wire connecting the subscriber's telephone set to another telephone set in an adjacent room B. a two-wire or four- ... a facsimile machine to a computer D. a group of wires connecting a telephone set to a modem
Last Answer : B. a two-wire or four-wire communication circuit between the customer’s premise and central office
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.
Last Answer : d) Because it is the simplest linearly inseparable problem that exists.
Description : What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the ... the network to allow weights to be adjusted so that the network can learn d) None of the mentioned
Last Answer : c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
Description : What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the ... network to allow weights to be adjusted so that the network can learn. d) None of the mentioned
Last Answer : c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn.
Description : Using logic to represent and reason we can represent knowledge about the world with facts and rules. a) True b) False
Description : A knowledge engineer has the job of extracting knowledge from an expert and building the expert system knowledge base. a) True b) False
Description : An expert system is a computer program that contains some of the subject-specific knowledge of one or more human experts. a) True b) False
Description : The corresponding Existential Instantiation rule: for the existential quantifier is slightly more complicated. For any sentence a, variable v, and constant symbol k that does not appear elsewhere in the knowledge base. a) True b) False
Description : A knowledge-based agent can combine general knowledge with current percepts to infer hidden aspects of the current state prior to selecting actions. a) True b) False
Description : extendible architecture is A. Modular design of a software application that facilitates the integration of new modules B. Showing a universal law or rule to be invalid by providing a counter example C. ... of attributes in a database table that refers to data in another table D. None of these
Last Answer : A. Modular design of a software application that facilitates the integration of new modules
Description : Falsification is A. Modular design of a software application that facilitates the integration of new modules B. Showing a universal law or rule to be invalid by providing a counter example C. A set of attributes in a database table that refers to data in another table D. None of these
Last Answer : B. Showing a universal law or rule to be invalid by providing a counter example
Description : Speech Segmentation is a subtask of Speech Recognition. a) True b) False
Description : IR (information Retrieval) and IE (Information Extraction) are the two same thing. a) True b) False
Description : OCR (Optical Character Recognition) uses NLP. a) True b) False
Description : Natural Language generation is the main task of Natural language processing. a) True b) False
Description : Given a stream of text, Named Entity Recognition determines which pronoun maps to which noun. a) False b) True
Last Answer : a) False
Description : The more general task of coreference resolution also includes identifying so-called “bridging relationships” involving referring expressions. a) True b) False
Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False