Symbolic Computation in Software Science: My Personal View

Bruno Buchberger
(Research Institute for Symbolic Computation (RISC), Johannes Kepler University, Linz / Schloss Hagenberg, Austria)

In this note, I develop my personal view on the scope and relevance of symbolic computation in software science. For this, I discuss the interaction and differences between symbolic computation, software science, automatic programming, mathematical knowledge management, artificial intelligence, algorithmic intelligence, numerical computation, and machine learning. In the discussion of these notions, I allow myself to refer also to papers (1982, 1985, 2001, 2003, 2013) of mine in which I expressed my views on these areas at early stages of some of these fields.

Keynote paper in Temur Kutsia: Proceedings of the 9th International Symposium on Symbolic Computation in Software Science (SCSS 2021), Hagenberg, Austria, September 8-10, 2021, Electronic Proceedings in Theoretical Computer Science 342, pp. 1–13.
Published: 6th September 2021.

ArXived at: http://dx.doi.org/10.4204/EPTCS.342.1 bibtex PDF
References in reconstructed bibtex, XML and HTML format (approximated).
Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org