Artificial Intelligence Learning Concepts

What are the three main types of learning discussed in the context of artificial intelligence?

• Reinforcement, Unsupervised, Supervised

• Active, Passive, Interactive

• Direct, Indirect, Adaptive

• Cognitive, Behavioral, Observational

Which type of learning involves a 'supervisor' who provides correct answers or feedback during the learning process?

• Reinforcement learning

• Unsupervised learning

• Supervised learning

• Observational learning

What is the small gap between the axon of one neuron and the dendrites of another neuron, where electrical signals are passed?

• Cell body

• Axon

• Synapse

• Nucleus

What was the name of the machine invented by Frank Rosenblatt in 1958 that was designed to classify images as triangles or not triangles?

• The Analyzer

• The Classifier

• The Perceptron

• The Cognitron

What is the first step a perceptron takes after receiving inputs like mass and diameter?

• Adds them together.

• Multiplies them by their respective weights.

• Compares them to a threshold.

• Divides them by their bias.

If a perceptron incorrectly classifies a donut as a bagel, what happens to its internal settings when it is corrected?

• Its weights are updated.

• Its bias is removed.

• Its inputs are changed.

• Its function is reset.

How does a perceptron learn to improve its classifications?

• It learns from both successes and failures.

• It only learns from successes.

• It only learns from failures.

• It does not learn; it only applies rules.

What does "precision" tell you about a classification program?

• How many items it correctly identified in total.

• How much you should trust the program when it says it has found something.

• How many items it failed to identify.

• How much of the thing it can find.