Related Questions
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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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The results that we get after we apply conditional probability to a problem are,
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Which of the following classifications of the environment are valid?
A. Deterministic and non- Deterministic
B. Observable and partially-observable
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Which among the following does fuzzy logic refer to the most?
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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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Which of the mentioned point are not valid with respect to a Propositional Logic?
A. In propositional Logic, each sentence is a declarative sentence
B. In propositional logic, the sentence can have answers other than True or False
C. Propositional Logic is a type of knowledge representation in AI
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Which of the mentioned human behavior does the AI aim to mimic?
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Which of the following are comprised within AI?
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The Maintenance system in the Truth maintenance method stores what?
C. Both valid and invalid data
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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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Consider the following statement,After all the gathering of knowledge and planning the strategies, the knowledge should be applied and the plans should be executed systematically to reach the goal state most efficiently and fruitfully.What does the above definition refer to?
A. Knowledge gathering strategy
B. Final step of solving the AI problem, which is applying the strategies
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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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On which of the mentioned points does the Probabilistic Reasoning depend?
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Which of the mentioned options are a part of 'planning' while solving a problem by an AI agent?
A. Deciding which data Structure to choose
B. Forming the control strategy
C. Inferring for similar problems in the knowledge base
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Which of the following are a part of Fuzzy Logic System? Choose from the following options?
a) Knowledge base
b) Fuzzification Module
c) Inference Engine
d) Defuzzification Module
D. All i, ii. and iii. and iv.
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Consider the following statement:The knowledge-based agent can be described using three levels. These are: Knowledge level, Logical level, and Implementation levelIn which of these levels, is the raw and discrete information encoded into sentences?
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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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What do the Constraints refer to in a CSP (Constraint Satisfactory problem)?
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The main Aim of the AI system is to provide a solution for real-life problems by acting and thinking humanly. Whenever an agent is confronted by a problem, what is the first step that it follows towards searching a solution to the problem?
A. Searching for relevant data in the surroundings
B. Searching into its own knowledge base for solutions
C. Seeking for human inputs for approaching towards the solution
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Which of the mentioned parts of an agent would you consider to be the most valuable in terms of AI?
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Which of the mentioned statements are true with respect to Fuzzy logic in AI?
A. Fuzzy Logic (FL) is a method by which any expert system or any agent based on Artificial Intelligence performs reasoning under uncertain conditions.
B. In this method, the reasoning is done in almost the same way as it is done in humans.
C. In this method, all the possibilities between 0 and 1 are drawn.
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Which of the following is true with respect to uncertainty in AI systems?
A. Uncertainty arises when we are not 100 percent confident in our decisions
B. Whenever uncertainty arises, there is needs to be an estimation taken for getting to any conclusion
C. The AI agent should take certain decisions even in the situations of uncertainty
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Which of the mentioned point are not valid with respect to a Cryptarithmetic problem?
A. Constraints should be taken care of while solving the problem
B. The text is converted from readable format to non-readable format
C. If numbers are not sufficient, we can use special symbols like $#@% to encrypt the text
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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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Which of the following streams of AI deal with the learning part of the machine (AI systems)? Choose from the following options?
a) Machine Learning
b) Cloud computing
c) Humanly Learning
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The Maintenance system in the Truth maintenance method stores what?
C. Both valid and invalid data
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What does a first order predicate logic contain?
A. Predicate and a subject
B. Predicate and a Preposition
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Bayesian Theorem was named after its inventor. Who invented the Bayesian theorem?
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Consider the following statement:The Existential Quantifier is used at the places where only some part of the subject's population is to be defined under the predicate.By reading the above statement, what are the phrases for which the existential quantifier can be applied?
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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