Deep neural networks are referred to as “deep” because they are primarily used to evaluate significant philosophical issues.

Which of the following is not a foundation of AI?

The Naïve Bayes method is a powerful tool for representing dependency structure in a graphical, explicit, and intuitive way.

Because of their complexity, it is more difficult to understand the inner structure of model ensembles (how they do what they do) than individual models.

Intelligent agents do not have the ability to learn by using and expanding the knowledge embedded in them.

A well-known early application of artificial intelligence was the chess program hosted at IBM’s supercomputer (Deep Blue).

The process of automated decision-making starts with knowledge refinement.

Which type of neural network is characterized by allowing feedback connections?

Routine decisions are more likely to be fully automated, especially if they are simple.

Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than an exact replica of how the brain actually functions.