CS607-Midterm
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___________ reasoning is based on forming, or inducing a „generalization‟ from a limited set of observations.
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To infer new information from semantic networks, we can ask questions from nodes.
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“A computer program designed to model the problem solving ability of a human expert” is known as ---
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From discipline ____________ we have information about the network structure of a human brain and all the theories on functionalities of different human organs.
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The tractable problems are further divided into structured and ________ problems
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In the statement “IF A THEN B”, B is called
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An AI system has a ____________ component that allows the system to get information from its environment.
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Classical way of problem solving
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IF temperature is below 0 THEN weather is cold The above rule is used to represent _______
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If the antecedent is only partially true, then the output fuzzy set is truncated according to the _________ method
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Which one is not the application area of expert system?
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Progressive deepening guarantees to find the solution at a minimum depth like
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The paths found by best-first search are likely to be __________ than those found with other methods.
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Breadth-First Search checks all paths of a given length before moving on to any longer paths.
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Which one of the following is involved in an ES development project:
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Within an expert system, the ______________ contains facts about a specific subject area and rules that express the reasoning procedures of an expert on the subject.
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Hit and trial is classical approach to solve the ________ problem easily
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Most of the solution spaces for problems can be represented in a ________
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Genetic Algorithms is a search method in which multiple search paths are followed in _______
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In the worst case of semantic network, we may need to traverse the entire network and then discover that the requested info ________.
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Mutation can be as simple as just flipping a bit at random or any number of bits
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An expert system may replace the expert or assist the expert.
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______ AI treats the brain as a black box and just emulates its functionality.
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Searching is a formal mechanism to explore
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In some cases, the rules provide more definite actions such as “move left” or “close door”, in which case the rules are being used to represent _________.
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Try to catch out own thoughts as they go by is
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Which of the following is a valid example which represents a suitable antecedent in a rule?
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Expert system can be expressed as:
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Genetic algorithm uses evolutionary techniques, based on function optimization and artificial intelligence, to develop a solution.
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In optimal path searches we try to find the ____________ solution
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----------------- is based on forming, or inducing a „generalization‟ from a limited set of observations
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Procedures that search the solution space in an uninformed manner are usually costly with respect to _____.
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A function by which we can tell which board position is nearer to our goal is called
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We can get optimal solution given some parameters using Genetic Algorithm.
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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
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Intelligence is the ability to
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The traveling inside solution space requires something called
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In DFS node with the largest value of height will be at Priority
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The Plateau problem comes up when there is a mostly flat area ___________ the peaks.
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Another expert system named __________ was developed by Digital Equipment Corporation, as a computer configuration assistant.
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In general, the antecedent of a rule compares an object with a possible value, using an operator.
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Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally _________
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Semantic networks are computationally expensive at __________
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Usually a _________ graph is chosen to represent a fuzzy set.
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In GA, the random process is repeated until an individual with required _________ level is found. Select correct option:
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Which of the following two components are closely coupled and each is intrinsically tied to the other. i. Knowledge representation ii. Reasoning iii. Execution iv. Planning
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In Artificial Intelligence GA stands for Genetic Algorithms
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