Hard
AI (artificial Intelligences) are often described using their strength: some are qualified as strong. Which of the following statements is true when considering “strong AI”?
Author: MartinStatus: PublishedQuestion passed 303 times
Edit
1
Community EvaluationsNo one has reviewed this question yet, be the first!
Similar QuestionsMore questions about Intelligence Artificielle
5
What are the different learning methods used for machine learning ?4
Which code language is the most used to implement AI?3
Fuzzy logic is a method of reasoning used in AI that aims at reproducing human reasoning. The outcome is the opposite of the boolean outcome (binary) . It can be any value between 0 and 1 (true and false). For example, the outcome can be possibly yes (0.7), not sure (0,6) , possibly no (0,4), or certainly no (0,18)...2
A model hyper-parameter is a configuration which is **external to the model**. It defines the model’s structure.2
Supervised learning is a type of machine learning that uses labeled data to train a model.