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Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard d) Domain dependent
2323____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the above
1 3808Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic
2285The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0 & 1 d) Either 0 or 1, either 0 or 1
1 8119Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
1 4006The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set
1 4865The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c
1 10102What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables
1918Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False
3009Which of the following is used for probability theory sentences? a) Conditional logic b) Logic c) Extension of propositional logic d) None of the mentioned
3210Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR
1 5405There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned
3007Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
1 3141
What is ROC curve and what does it represent?
Is 2070 super better than 2080?
What is model capacity?
Explain the concept of Q-learning.
Explain game playing artificial intelligence?
What are the challenges in implementing AI for real-time strategy games?
What are Hyperparameters?
What are the privacy implications of using large datasets for Generative AI?
Why was “naive” bayes naive?
What is fopl stands for and explain its role in artificial intelligence?
How would you handle imbalanced datasets?
for online search in ‘artificial intelligence’ which search agent operates by interleaving computation and action?
What are the challenges of making deep learning models explainable?
Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move. a) True b) False
What is transfer learning ?
