Theory Exploration and Inductive Theorem Proving
Licentiatavhandling, 2016

We have built two state-of-the-art inductive theorem provers named HipSpec and Hipster. The main issue when automating proofs by induction is to discover essential helper lemmas. Our theorem provers use the technique theory exploration, which is a method to systematically discover interesting conclusions about a mathematical theory. We use the existing theory exploration system QuickSpec which conjectures properties for a program that seem to hold based on testing. The idea is to try to prove these explored conjectures together with the user-stated goal conjecture. By using this idea and connecting it with our previous work on Hip, the Haskell Inductive Prover, we were able to take new leaps in field of inductive theorem proving. Additionally, we have developed a benchmark suite named TIP, short for Tons of Inductive Problems, with benchmark problems for inductive theorem provers, and a tool box for converting and manipulating problems expressed in the TIP format. There were two main reasons to this initiative. Firstly, the inductive theorem proving field lacked a shared benchmark suite as well as a format. Secondly, the benchmarks that have been used were outdated: all contemporary provers would solve almost every problem. We have so far added hundreds of new challenges to the TIP suite to encourage further research.

ED, Rännvägen 6, Chalmers Tekniska Högskola
Opponent: Jasmin Blanchette

Författare

Dan Rosén

Chalmers, Data- och informationsteknik, Programvaruteknik

Automating Inductive Proofs using Theory Exploration

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),; Vol. 7898(2013)p. 392-406

Paper i proceeding

TIP: Tons of Inductive Problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),; Vol. 9150(2015)p. 332-336

Paper i proceeding

Hipster: Integrating theory exploration in a proof assistant

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),; Vol. 8543(2014)p. 108-122

Paper i proceeding

Tip: Tools for inductive provers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),; Vol. 9450(2015)p. 219-232

Paper i proceeding

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Programvaruteknik

ED, Rännvägen 6, Chalmers Tekniska Högskola

Opponent: Jasmin Blanchette

Mer information

Skapat

2017-10-08