Artificial Intelligence for Science

Computational Approaches to Scientific Discovery
Erscheinungsjahr 2027
ISBN: 978-3-032-42270-5
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

AI systems will support scientists by expanding the scope of inquiry, accelerating the generation and testing of hypotheses, and making possible forms of experimentation and analysis that would otherwise be impractical.

By presenting complementary perspectives on automated discovery, equation discovery, and modelling dynamical systems, this volume offers both an account of current progress and a foundation for further research into how intelligent systems can contribute responsibly and creatively to science.

Zielgruppe

Research

Autoren/Hrsg.

Dzeroski, Saso

Choi, Youngsoo

Kutz, J. Nathan

Langley, Pat

Soldatova, Larisa

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Automating Scientifi Discovery.- Equation Discovery and Symbolic Regression.- Discovering Models of Dynamical Systems.- Artificia Intelligence for Science.