Artificial Intelligence and Computational Science

Abstract

In this note, we discuss the interaction between two ways of scientific analysis. The first (classical) way is known as Mathematical Modeling (MM). It is based on a model created by humans and presented in mathematical terms. Scientific Computing (SC) is an important tool of MM developed to quantitatively analyze the model. Artificial Intelligence (AI) forms a new way of scientific analysis. AI systems arise as a result of a different process. Here, we take a sequence of correct input–output data, perform Machine Learning (ML), and get a model (hidden in a network). In this process, computational methods are used to create a network type model. We briefly discuss special methods used for this purpose (such as evolutionary algorithms), give a concise overview of results related to applications of AI in computer simulation of real-life problems, and discuss several open problems.