On what basis is prediction made in Artificial Intelligence?
Answer and explanation
Correct answer: On past data and learned patterns
AI prediction normally uses relevant past data and patterns learned from examples. The system compares a new input with those patterns and estimates a likely outcome; the estimate is not a guarantee. Machine colour, wall height, or chair size would matter only if they were relevant features in a particular problem, not as general bases for prediction.
Frequently asked questions
What is the correct answer to this question?
On past data and learned patterns
Why is this the correct answer?
AI prediction normally uses relevant past data and patterns learned from examples. The system compares a new input with those patterns and estimates a likely outcome; the estimate is not a guarantee. Machine colour, wall height, or chair size would matter only if they were relevant features in a particular problem, not as general bases for prediction.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Reflection, Project Cycle, and Ethics. Topic: Introduction to AI.
