Description : __________ algorithm translates a planning problem in to prepositional axioms. a) GraphPlan b) SatPlan c) Greedy d) None of the mentioned
Last Answer : b) SatPlan
Description : To eliminate the inaccuracy problem in planning problem or partial order planning problem we can use ___________________ data structure/s. a) Stacks b) Queue c) BST (Binary Search Tree) d) Planning Graphs
Last Answer : d) Planning Graphs
Description : Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. ... have to be explicitly hand-coded d) False - just having a single perceptron is enough
Last Answer : c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded
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 : A re-planning agent uses execution monitoring and splices in repairs as needed. a) True b) False
Last Answer : a) True
Description : Planning problem can be described as a propositional logic. a) True b) False
Description : One the main drawback of this type of planning system is that it requires a lot of computational powers at each node. a) True b) False
Description : Sussman Anomaly illustrates a weakness of interleaved planning algorithm. a) True b) False
Last Answer : b) False
Description : Sussman Anomaly can be easily and efficiently solved by partial order planning. a) True b) False
Description : Partial-order planning is the opposite of total-order planning. a) True b) False
Description : Partial-order planning exhibits the Principle of Least Commitment, which contributes to the efficiency of this planning system as a whole. a) True b) False
Description : ANN is composed of large number of highly interconnected processing elements(neurons) working in unison to solve problems. A. True B. False C. D.
Last Answer : A. 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
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 : An inference algorithm that derives only entailed sentences is called sound or truth-preserving. a) True b) False
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 : There exist only two types of quantifiers, Universal Quantification and Existential Quantification. a) True b) False
Description : Assertion (A): The problems of environmental sustainability are difficult to resolve. Reason (R): Our understanding how environment works and how different human choices affect environment is inadequate. Choose the correct code: (A) ... is true and (R) is false. (D) (A) is false and (R) is true.
Last Answer : (A) Both (A) and (R) are correct and (R) is the correct explanation of (A).
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
Description : NLP is concerned with the interactions between computers and human (natural) languages. a) True b) False
Description : Decision Trees can be used for Classification Tasks. a) True b) False
Description : Decision Tree is a display of an algorithm. 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 : Like relational databases there does exists fuzzy relational databases. a) True b) False
Description : Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. 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 primitives in probabilistic reasoning are random variables. a) True b) False
Description : Using logic to represent and reason we can represent knowledge about the world with facts and rules. a) True b) False
Description : Conditional Plans allows the agent to sense the world during execution to decide what branch of plan to follow. a) True b) False
Description : What is meant by persistence actions? a) Allow a literal to remain false b) Allow a literal to remain true c) Allow a literal to remain false & true d) None of the mentioned
Last Answer : b) Allow a literal to remain true
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
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
Description : Semantic Network is also known as Frame networks. 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 : 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 : Inheritance Search 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 : ARGEX is an agricultural expert system that gives correct advice to farmers. a) True b) False
Description : GERMWATCHER is used to control infections caused by bacteria. a) True b) False
Description : MYSIN attempts to recommend appropriate therapies for patients with bacterial infections. a) True b) False