About this document
Understanding AI Uncertainty Concepts by Alyssa Ann is a document available to read on EtoBox.
- Dealing with uncertainty is important in artificial intelligence as information is often incomplete, inconsistent, or uncertain. This makes exact reasoning difficult. - Probability and fuzzy logic allow reasoning under uncertainty by assigning numerical values to represent degrees of belief rather than making binary true/false assumptions. - Bayes
- Author
- Alyssa Ann
- Language
- EN