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.
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.
Saso Dzeroski
Machine Learning (ML) Scientific Discovery Knowledge Disovery Data science Data-driven scientific discovery Knowlege-driven scientific discovery Artificial Intelligence (AI)