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Polynomial Interpretations for Higher-Order Rewriting

Fuhs, C; Kop, C; (2012) Polynomial Interpretations for Higher-Order Rewriting. In: Tiwari, A, (ed.) Proceedings of the Conference on Rewriting Techniques and Applications (RTA'12). (pp. 176 - 192). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik Green open access

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Abstract

The termination method of weakly monotonic algebras, which has been defined for higher-order rewriting in the HRS formalism, offers a lot of power, but has seen little use in recent years. We adapt and extend this method to the alternative formalism of algebraic functional systems, where the simply-typed λ-calculus is combined with algebraic reduction. Using this theory, we define higher-order polynomial interpretations, and show how the implementation challenges of this technique can be tackled. A full implementation is provided in the termination tool WANDA.

Type: Proceedings paper
Title: Polynomial Interpretations for Higher-Order Rewriting
Event: Rewriting Techniques and Applications (RTA'12)
ISBN-13: 978-3-939897-38-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.4230/LIPIcs.RTA.2012.176
Publisher version: http://dx.doi.org/10.4230/LIPIcs.RTA.2012.176
Additional information: This work is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivativeWorks 3.0 license. You are free to share (copy, distribute and transmit the work), but you must attribute the author, you may not use this work for commercial purposes and you may not alter, transform, or build upon this work and distribute any derivative works you create under a similar license.
Keywords: higher-order rewriting, termination, polynomial interpretations, weakly monotonic algebras, automation
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1410030
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