A3 Book section, Chapters in research books
Artificial Intelligence and Computational Science (2022)


Neittaanmäki, P., & Repin, S. (2022). Artificial Intelligence and Computational Science. In T. T. Tuovinen, J. Periaux, & P. Neittaanmäki (Eds.), Computational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges (pp. 27-35). Springer. Intelligent Systems, Control and Automation: Science and Engineering, 76. https://doi.org/10.1007/978-3-030-70787-3_3


JYU authors or editors


Publication details

All authors or editorsNeittaanmäki, Pekka; Repin, Sergey

Parent publicationComputational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges

Parent publication editorsTuovinen, Tero T.; Periaux, Jacques; Neittaanmäki, Pekka

ISBN978-3-030-70786-6

eISBN978-3-030-70787-3

Journal or seriesIntelligent Systems, Control and Automation: Science and Engineering

ISSN2213-8986

eISSN2213-8994

Publication year2022

Number in series76

Pages range27-35

Number of pages in the book275

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

DOIhttps://doi.org/10.1007/978-3-030-70787-3_3

Publication open accessNot open

Publication channel open access

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/84829

Additional informationThe CSAI 2019 Conference (Computational Science and AI in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges) took place at Jyväskylä, Finland, on June 12–14, 2019.


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.


Keywordsmathematical modelssimulationcomputational sciencemachine learningartificial intelligenceevolutionary computation

Free keywordsscientific computations; machine learning; Artificial intelligence; evolutionary algorithms


Contributing organizations


Ministry reportingYes

Reporting Year2022

JUFO rating2


Last updated on 2024-03-04 at 19:06