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KeYmaera X: An Axiomatic Tactical Theorem Prover for Hybrid Systems

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Automated Deduction - CADE-25 (CADE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9195))

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Abstract

KeYmaera X is a theorem prover for differential dynamic logic (

), a logic for specifying and verifying properties of hybrid systems. Reasoning about complicated hybrid systems models requires support for sophisticated proof techniques, efficient computation, and a user interface that crystallizes salient properties of the system. KeYmaera X allows users to specify custom proof search techniques as tactics, execute these tactics in parallel, and interface with partial proofs via an extensible user interface.

Advanced proof search features—and user-defined tactics in particular—are difficult to check for soundness. To admit extension and experimentation in proof search without reducing trust in the prover, KeYmaera X is built up from a small trusted kernel. The prover kernel contains a list of sound

axioms that are instantiated using a uniform substitution proof rule. Isolating all soundness-critical reasoning to this prover kernel obviates the intractable task of ensuring that each new proof search algorithm is implemented correctly. Preliminary experiments suggest that a single layer of tactics on top of the prover kernel provides a rich language for implementing novel and sophisticated proof search techniques.

This material is based upon work supported by the National Science Foundation under NSF CAREER Award CNS-1054246, NSF CNS-1035800, and CNS-0931985, and by ERC under PIOF-GA-2012-328378 (Mitsch on leave from Johannes Kepler University Linz).

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Acknowledgments

The authors thank the anonymous reviewers for their helpful feedback, and Ran Ji for help with testing and extending KeYmaera X.

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Correspondence to Nathan Fulton .

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Fulton, N., Mitsch, S., Quesel, JD., Völp, M., Platzer, A. (2015). KeYmaera X: An Axiomatic Tactical Theorem Prover for Hybrid Systems. In: Felty, A., Middeldorp, A. (eds) Automated Deduction - CADE-25. CADE 2015. Lecture Notes in Computer Science(), vol 9195. Springer, Cham. https://doi.org/10.1007/978-3-319-21401-6_36

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  • DOI: https://doi.org/10.1007/978-3-319-21401-6_36

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