Q.No.1

What is Hebbian learning based on?

Q.No.2

Which approach uses frames and semantic nets for knowledge representation?

Q.No.3

In natural language processing, what is semantic analysis?

Q.No.4

What type of learning algorithm is Naive Bayes?

Q.No.5

In AI, what does an intelligent agent use to make decisions?

Q.No.6

What is the difference between supervised and unsupervised learning?

Q.No.7

What is the main advantage of using Bayesian Networks?

Q.No.8

In neural networks, what is backpropagation used for?

Q.No.9

What is the main function of the inference engine in an expert system?

Q.No.10

What is a perceptron in neural networks?


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