Which characteristic of an Artificial Intelligence system enables it to learn from examples and make decisions about new inputs?
Answer and explanation
Correct answer: Learning patterns from data
Learning patterns from training examples allows an AI system to generalise: it can use what it learned from known cases to classify or estimate outcomes for new cases. A fixed rule program does not learn unless it is changed, random answers are not learning, and human approval is a control method rather than the learning characteristic itself.
Frequently asked questions
What is the correct answer to this question?
Learning patterns from data
Why is this the correct answer?
Learning patterns from training examples allows an AI system to generalise: it can use what it learned from known cases to classify or estimate outcomes for new cases. A fixed rule program does not learn unless it is changed, random answers are not learning, and human approval is a control method rather than the learning characteristic itself.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Subject-Specific Skills. Topic: Unit 6 - Machine Learning Algorithms.
