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AI AllOther (6) 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
2325____________ 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 3818Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic
2297The 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 8128Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
1 4009The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set
1 4869The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c
1 10106What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables
1926Japanese 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
3212Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR
1 5415There 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
3010Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
1 3143
Treating a categorical variable as a continuous variable would result in a better predictive model?
What tools or practices can help secure AI models against attacks?
What are industrial robots?
What are the key privacy challenges in AI development?
What are the various steps involved in an analytics project?
How do you train a model for generating creative content, like poetry?
What is deep learning, and how does it contrast with other machine learning algorithms?
Explain the Canny's Algorithm.
how to use dmx-the data mining query language?
The problem-solving agent with several immediate options of unknown value can decide what to do by just examining different possible sequences of actions that lead to states of known value, and then choosing the best sequence. This process of looking for such a sequence is called Search. State True or False a) True b) False
Is naive bayes good?
Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned
What is the difference between select and update query?
How artificial neural networks can be applied in future?
How will you compare the results of various machine learning algorithms?