… As previously discussed, pattern recognition, machine learning, and deep learning are
among the new artificial intelligence methods that are increasingly emerging as reliable and …

… on the applications of Artificial Intelligence (AI) techniques in … guide the development of new
methods and their applications in … , some on the AI methods themselves and others related to …

… assumptions of methods which belong to symbolic Artificial Intelligence are presented in …
are common to these methods: • a model representing an intelligent system can be defined in …

… issue on artificial intelligence (AI) methods for groundwater level … weaknesses, if the AI
methods properly be developed, they can … methods and for improving the quality of the modeling. …

… of artificial intelligence (AI), the number of applications increases yearly, medical consultation
having been prominent since the early 1970's. Methods … be carried by methods of symbolic …

… Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the
… traceability of statistical black-box machine learning methods, particularly deep learning (DL)…

… • Lesson 3: Run pilot experiments • Lesson 4: The job of empirical methods is to explain
variability • Lesson 5: Humans are a great source of variance … • Lesson 3: Run pilot …

… The main aim of this book is to show how artificial intelligence (AI) can be enriched by
incorporating recent advances in formal logic. Most of what we shall be looking at concerns …

… 5 Results versus Methods: Cognitive Science … Consciousness and Intelligence … 202
How Well Do Nonmonotonic Methods Work? …

An approach to hybrid artificial intelligence problem solving … found that a hybrid artificial
intelligence model can provide a … with a radial basis function artificial neural network. The results …