Abstract
Resolution lies at the foundation of both logic programming and type class context reduction in functional languages. Terminating derivations by resolution have well-defined inductive meaning, whereas some non-terminating derivations can be understood coinductively. Cycle detection is a popular method to capture a small subset of such derivations. We show that in fact cycle detection is a restricted form of coinductive proof, in which the atomic formula forming the cycle plays the rôle of coinductive hypothesis. This paper introduces a heuristic method for obtaining richer coinductive hypotheses in the form of Horn formulas. Our approach subsumes cycle detection and gives coinductive meaning to a larger class of derivations. For this purpose we extend resolution with Horn formula resolvents and corecursive evidence generation. We illustrate our method on non-terminating type class resolution problems.
Original language | English |
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Title of host publication | Functional and Logic Programming |
Subtitle of host publication | 13th International Symposium, FLOPS 2016, Kochi, Japan, March 4-6, 2016, Proceedings |
Editors | Oleg Kiselyov, Andy King |
Publisher | Springer |
Pages | 126-143 |
Number of pages | 18 |
ISBN (Electronic) | 9783319296043 |
ISBN (Print) | 9783319296036 |
DOIs | |
Publication status | Published - 2016 |
Event | 13th International Symposium on Functional and Logic Programming 2016 - Kochi, Japan Duration: 4 Mar 2016 → 6 Mar 2016 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer International Publishing |
Volume | 9613 |
ISSN (Print) | 0302-9743 |
Conference
Conference | 13th International Symposium on Functional and Logic Programming 2016 |
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Abbreviated title | FLOPS 2016 |
Country/Territory | Japan |
City | Kochi |
Period | 4/03/16 → 6/03/16 |
Keywords
- Coinductive proofs
- Corecursion
- Haskell type class inference
- Horn clause logic
- Resolution
ASJC Scopus subject areas
- General Computer Science
- Theoretical Computer Science
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Ekaterina Komendantskaya
- School of Mathematical & Computer Sciences - Professor
- School of Mathematical & Computer Sciences, Computer Science - Professor
Person: Academic (Research & Teaching)