Multiple Choice Questions (MCQs)
The first step of FIND-S is to initialize h to the most specific hypothesis in ________: h = < Ø , Ø >
In Candidate-Elimination algorithm version space is represented by two sets named:
If there are multiple parts to the antecedent, apply fuzzy logic ________ and resolve the antecedent to a single number between 0 and 1.
A concept is the representation of the ________ with respect to the given attributes.
________ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.
Choose the field(s) in which Fuzzy inference systems have been successfully applied:
Hypothesis space uses the ________ of the attributes.
________ problems usually have well-defined steps.
Decision trees give us disjunctions of conjunctions, that is, they have the form: (A AND B) ________ (C AND D).
In backward chaining terminology, the hypothesis to prove is called the ________.
Conventional programming focuses on _______, while ES programming focuses on ________.
An ___________ is “A computer program designed to model the problem solving ability of a human expert”.
Another expert system named __________ was developed by Digital Equipment Corporation, as a computer configuration assistant.
An expert system may replace the expert or assist the expert.
__________ reasoning is based on forming, or inducing a ‘generalization’ from a limited set of observations.
In the statement "IF A THEN B", A is called
A statement in conjunctive normal form (CNF) consists of _________.
________ is the process of deriving logical conclusions from given facts.
A proposition is the statement of a _________.
Semantic networks are graphs, with nodes representing _________ and arcs representing _________ between objects.
In the worst case of semantic network, we may need to traverse the entire network and then discover that the requested info ________.
An AI system has a ____________ component that allows the system to get information from its environment.
An AI system must form a meaningful and useful __________ of the internal information.
In GA, the random process is repeated until an individual with required _________ level is found.
Mutation can be as simple as just flipping a bit at random or any number of bits.
What is the correct order for solving a problem using GA I. Choose the best individuals from the population for crossover II. Choose initial population III. Evaluate the fitness of each individual
A function by which we can tell which board position is nearer to our goal is called _________.
In Basic Genetic Algorithm the term mutation refers to a small random ________.
Genetic Algorithms is a search method in which multiple search paths are followed in _______.
We can get optimal solution given some parameters using Genetic Algorithm.
Genetic algorithm uses evolutionary techniques, based on function optimization and artificial intelligence, to develop a solution.
In Adversarial search there may occur such a scenario where two opponents also called ___________ are searching for a goal.
Best First Search is a greedy approach.
The foothill problem occurs whenever there are________ peaks.
Which one of the problems is more subtle, and consequently, is more frustrating?
The paths founded by Best First search are likely to be _________ than those found with other methods.
In Breadth First Search the node with the largest value of height will be at the _________ priority to be picked.
Breadth-First Search checks all paths of a given length before moving on to any longer paths.
Breadth-first search is a good idea when you are confident that the branching factor is _________.
In Depth First Search the node with the largest value of height will be at the ___________ priority to be picked.
In DFS, node with the largest value of height will be at Priority ________.
Procedures that search the solution space in an uninformed manner are usually costly with respect to _________.
We use graphs to represent problems and their solution spaces.
Every graph can be converted into a tree.
Most of the solution spaces for problems can be represented in a ___________.
In Optimal Path searches we try to find the _________ solution.
Most of the solution spaces for problems can be represented in _______.
By getting grips on _________ that deal with searching techniques in graphs and trees, problem solving can be performed in an efficient manner.
Some essential components of problem solving are Problem statement, ________, Solution space and Operators.
________ is a Classical way of problem solving.
The traveling inside a solution space requires something called as __________.
Hit and trial is a classical approach to solve the ___________ problem easily.
Which of the following disciplines provides us with the theories of structure and meaning of language?
From discipline of _____________ we have the tools and techniques to investigate the human mind and ways to represent the resulting theories.
From discipline of _____________ we have information about the network structure of a human brain and all the theories on functionalities of different human organs.
________ AI actually tries to recreate the functions of the inside of the brain as opposed to simply emulating behavior.
________ AI treats the brain as a black box and just emulates its functionality.
Intelligence is the ability to ____________.
Try to catch out own thoughts as they go by is ________.
Which of the following things demonstrate Intelligence?
Can we precisely define Artificial Intelligence?
Intelligence is the characteristic of
Outputs of learning are determined by the ________
Interactive Dichotomizer uses a special function ________, to evaluate the gain information of each attribute.
Machine learning typically follows ___________ phases according to Finlay.
Artificial Neural Networks is a new learning paradigm which takes its roots from _________ inspired approach to learning.
The brain is a collection of about 100 ________ interconnected neurons.
Identify the statement which best defines the fuzzy sets.
Identify that for which purpose statment given below is used (deftamplate Person (slot name (type STRING)) (slot age(type NUMBER)) )
Identify the correct statement to list facts numbers 1 through 10
Fuzzy logic is actually a superset of conventional boolean logic
Identify which statement defines classical sets in a best way
General stages of ESDLC includes.
Identify the correct definition of linear model given below.
Fuzzy logic is a subset of conventional (Boolean) logic.
Identify the sets in which Membership Function is used.
The goal of knowledge analysis is to analyze and structure the knowledge gained during the planning phase.
Identify correct statement for the given rule. IF The aptitude level of an undergraduate student is low and The English understanding level of undergraduate student is dull THEN He is not eligible to go abroad for higher studies.
A classical set is a container, which wholly includes or wholly excludes any given element.
Sequence wise main phases of Linear model used in developing expert systems are given below.
IF IELTS score of Ali is 6 and CGPA of Ali is 3.7 and GRE score of Ali is 66 Then He is eligible to take admission in any of the University abroad
Identify the step involved in planning phase.
Identify the correct step used to start design of an expert system.
____________ learning works on existing facts and knowledge and deduces new knowledge from the old.
Each neuron in the hidden layer is responsible for a different _________.
If the true output of a concept [c(xi)] is 1 or 0 for an instance, then the output by our hypothesis [h(xi)] is 1 or 0 as well, respectively.
Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally ________.
Inductive learning takes examples and generalizes rather than starting with __________ knowledge
Machine learning is a prerequisite for any mature program of artificial intelligence
The tractable problems are further divided into structured and ____________ problems
Which one is NOT the advantage of Neural Network
________ is the process of formulating the mapping from a given input to an output using Fuzzy logic.
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