Abstract
Trace-based programming is introduced as a specific approach to inductive programming where a, typically recursive, program is inferred from a small set of example computational traces.
Most of the work by this author was done while on leave of absence in 2006/2007 as a Visiting Faculty Member and Erasmus Exchange Teacher at Sabancı University, Turkey.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Recommended Reading
Biermann AW (1972) On the inference of Turing machines from sample computations. Artif Intell 3(3):181–198
Schmid U, Wysotzki F (1998) Induction of recursive program schemes. In: Proceedings of the 10th European conference on machine learning (ECML 1998). Volume 1398 of lecture notes in artificial intelligence. Springer, pp 214–225
Schrödl S, Edelkamp S (1999) Inferring flow of control in program synthesis by example. In: Proceedings of the 23rd annual German conference on artificial intelligence (KI 1999). Volume 1701 of lecture notes in artificial intelligence. Springer, pp 171–182
Shavlik JW (1990) Acquiring recursive and iterative concepts with explanation-based learning. Mach Learn 5:39–70
Wysotzki F (1983) Representation and induction of infinite concepts and recursive action sequences. In: Proceedings of the 8th international joint conference on artificial intelligence (IJCAI 1983). Morgan Kaufmann, pp 409–414
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media New York
About this entry
Cite this entry
Flener, P., Schmid, U. (2017). Trace-Based Programming. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_844
Download citation
DOI: https://doi.org/10.1007/978-1-4899-7687-1_844
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7685-7
Online ISBN: 978-1-4899-7687-1
eBook Packages: Computer ScienceReference Module Computer Science and Engineering