Related Questions
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Which of the following are comprised within AI?
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Consider the following statement:The search first begins from the root node and the first one of the child nodes sub-tree is completely traversed. That is, first all the one-sided nodes are checked, and then the other sided nodes are checked.Which search algorithm is described in the above definition?
A. The Breadth First Search (BFS)
B. The Depth First Search (DFS)
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The Maintenance system in the Truth maintenance method stores what?
C. Both valid and invalid data
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Consider the following statement:The Cryptarithmetic problem in Artificial Intelligence is a type of encryption problem in which the written message in an alphabetical form which is easily readable and understandable is converted into a numeric form which is neither easily readable nor understandable.By reading the above statement, what are the places where this technique can be applied?
B. To encode number plates of vehicles
C. To encode their names by students while filling the answer sheet
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Which of the mentioned human behavior does the AI aim to mimic?
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The results that we get after we apply probabilistic reasoning to a problem are,
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Which among the following does fuzzy logic refer to the most?
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Which of the following hold in the Fuzzy Logic System? Choose from the following options?
a) Well defined inference making model
b) Complex Decision making can be easily performed
c) It is easily understandable
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Why do we want to implement the concept of Logic in an AI system?
A. So that the agent can have decision making capability
B. So that the agent can think and act humanly
C. So that the agent can apply the logic for finding the solution to any particular problem
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Among which of the following mentioned statements can the Bayesian probability be applied?
a) In the cases, where we have one event
b) In the cases, where we have two events
c) In the cases, where we have three events
d) In the cases, where we have more than three events
Options:
B. All i., ii., iii. and iv.
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Consider the following statement:When we talk about perceiving information from the environment, then the main problem that arises is that there is always some uncertainty is our observations. This is because the world is an enormous entity and the surroundings that we take under study are not always well defined. So, there is needs to be an estimation taken for getting to any conclusion.Which among the following takes the best decisions in a situation with uncertainty?
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Which of the following is considered as the most powerful AI agent?
A. Simple based reflex agent
B. Model based reflex agent
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The Certainty Factor (CF) is a numeric value which tells us about how likely an event or a statement is supposed to be true.What is the range of this numeric value, i.e. Certainty Factor?
A. Between 0 to 1 (Both inclusive)
B. Between 0 to 1 (Both exclusive)
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Using how many levels can a knowledge-based agent be defined?
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Which if the following are valid methods used for decision making by an AI agent in situations of uncertainty? Choose from the following options?
a) Probabilistic theory
b) Fuzzy logic
c) Truth Maintenance
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In AI systems, Logic can be represented in two types. What are these two types?
a) Inductive Logic
b) Common Logic
c) Deductive Logic
d) Machine Logic
Options:
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Which of the mentioned point correctly defines a quantifier in AI?
A. Quantifiers are numbers ranging from 0-9.
B. Quantifiers are the quantity defining terms which are used with the predicates.
C. Quantifiers quantize the term between 0 and 1.
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What is the minimum Certainty factor which decided whether the value is true or false?
D. Is decided in prior to every problem
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Which of the mentioned properties of Constraint Satisfactory Problems dare valid?
A. Constraints are a set of restrictions and regulations
B. While solving a CSP, the agent cannot violate any of the rules and regulations or disobey the restrictions mentioned as the constraints
C. It also focuses on reaching to the goal state
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The results that we get after we apply conditional probability to a problem are,
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Which of the following does not represent a valid environment type according to AI classification of environments?
A. Deterministic and non- Deterministic
B. Observable and partially-observable
D. Left sided and right sided
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Which of the mentioned properties of heuristic search differentiates it from other searches?
A. It provides solution in a reasonable time frame
B. It provides the reasonably accurate direction to a goal
C. It considers both actual costs that it took to reach the current state and approximate cost it would take to reach the goal from the current state
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Which if the following are valid methods used for decision making by an AI agent in situations of uncertainty? Choose from the following options?
a) Probabilistic theory
b) Fuzzy logic
c) Truth Maintenance
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There are two types of quantifiers used to quantify the statement in the knowledge representation in AI. What are these two types of quantifiers?
a) Universal Quantifiers
b) Subjective Quantifiers
c) Existential Quantifiers
d) Selective Quantifiers
Options:
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What is the major problem for AI systems while solving the real world problems?
A. Uncertainty in Environment
B. Poor battery life of the system
C. Improper training time
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How many types of quantifiers are there that are used to represent knowledge?
C. User can define as many quantifiers he wants
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Which of the following mentioned statements are uncertain?
a) The number occurred on rolling a die.
b) What will the temperature tomorrow?
c) What card will be get on picking a card from a fair deck of 52 cards?
d) What output will we get on tossing a coin?
Options:
B. All i., ii., iii. and iv.
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Which of the following mentioned searches are heuristic searches?
a) Random Search
b) Depth First Search
c) Breadth First Search
d) Best First Search
Options:
B. All i., ii., iii. and iv.
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The results that we get after we apply Bayesian Theorem to a problem are,
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Which of the following mentioned statements are the valid reasons for implementing the learning part in the systems in AI?
A. To implement humanly behavior.
B. To deal with unknown environment.
C. To improve the reasoning capability of the agent.