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Extending Decision Procedures with Induction Schemes

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Automated Deduction - CADE-17 (CADE 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1831))

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Abstract

Families of function definitions and conjectures based in quantifier-free decidable theories are identified for which inductive validity of conjectures can be decided by the cover set method, a heuristic implemented in a rewrite-based induction theorem prover Rewrite Rule Laboratory (RRL) for mechanizing induction. Conditions characterizing definitions and conjectures are syntactic, and can be easily checked, thus making it possible to determine a priori whether a given conjecture can be decided. The concept of a \(\mathcal{T}\)-based function definition is introduced that consists of a finite set of terminating complete rewrite rules of the form f(s 1,⋯,s m ) → r, where s 1,⋯,s m are interpreted terms from a decidable theory \(\mathcal{T}\), and r is either an interpreted term or has non-nested recursive calls to f with all other function symbols from \(\mathcal{T}\). Two kinds of conjectures are considered. Simple conjectures are of the form f(x 1,⋯,x m ) = t, where f is \(\mathcal{T}\)-based, x i  ’s are distinct variables, and t is interpreted in \(\mathcal{T}\). Complex conjectures differ from simple conjectures in their left sides which may contain many function symbols whose definitions are \(\mathcal{T}\)-based and the nested order in which these function symbols appear in the left sides have the compatibility property with their definitions.

The main objective is to ensure that for each induction subgoal generated from a conjecture after selecting an induction scheme, the resulting formula can be simplified so that induction hypothesis(es), whenever needed, is applicable, and the result of this application is a formula in \(\mathcal{T}\). Decidable theories considered are the quantifier-free theory of Presburger arithmetic, congruence closure on ground terms (with or without associative-commutative operators), propositional calculus, and the quantifier-free theory of constructors (mostly, free constructors as in the case of finite lists and finite sequences). A byproduct of the approach is that it can predict the structure of intermediate lemmas needed for automatically deciding this subclass of conjectures. Several examples over lists, numbers and of properties involved in establishing the number-theoretic correctness of arithmetic circuits are given.

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References

  1. Gupta, A.: Inductive Boolean Function Manipulation: A Hardware Verification Methodology for Automatic Induction. Ph.D. Thesis, Department of Computer Sci- ence, Carnegie Mellon University, Pittsburgh (1994)

    Google Scholar 

  2. Boyer, R.S., Moore, J S.: A Computational Logic. ACM Monographs in Computer Science (1979)

    Google Scholar 

  3. Boyer, R.S., Moore, J.S.: Integrating decision procedures into heuristic theorem provers: A case study of linear arithmetic. In: Hayes, J.E., Mitchie, D., Richards, J. (eds.) Machine Intelligence, vol. 11 (1988)

    Google Scholar 

  4. Fribourg, L.: Mixing list recursion and arithmetic. In: Proc. Seventh Symp. on Logic in Computer Science (1992)

    Google Scholar 

  5. Giesl, J., Kapur, D.: Decidable Classes of Inductive Theorems. Technical Report, Department of Computer Science, University of New Mexico (February 2000)

    Google Scholar 

  6. Kapur, D.: Automated tools for analyzing completeness of specifications. In: Proc. 1994 Intl. Symp. on Software Testing and Analysis (ISSTA), Seattle, WA, August 1994, pp. 28–43 (1994)

    Google Scholar 

  7. Kapur, D.: Rewriting, decision procedures and lemma speculation for automated hardware verification. In: Gunter, E.L., Felty, A.P. (eds.) TPHOLs 1997. LNCS, vol. 1275. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  8. Kapur, D., Nie, X.: Reasoning about numbers in Tecton. In: Raś, Z.W., Zemankova, M. (eds.) ISMIS 1994. LNCS, vol. 869. Springer, Heidelberg (1994)

    Google Scholar 

  9. Kapur, D., Subramaniam, M.: New uses of linear arithmetic in inductive theorem proving. J. Automated Reasoning 16(1-2), 39–78 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  10. Kapur, D., Subramaniam, M.: Mechanically verifying a family of multiplier circuits. In: Alur, R., Henzinger, T.A. (eds.) CAV 1996. LNCS, vol. 1102, pp. 135–146. Springer, Heidelberg (1996)

    Google Scholar 

  11. Kapur, D., Subramaniam, M.: Mechanizing reasoning about arithmetic circuits: SRT division. In: Ramesh, S., Sivakumar, G. (eds.) FST TCS 1997. LNCS, vol. 1346, p. 103. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  12. Kapur, D., Subramaniam, M.: Mechanical verification of adder circuits using powerlists. J. of Formal Methods in System Design (November 1998)

    Google Scholar 

  13. Kapur, D., Subramaniam, M.: Using an induction prover for verifying arithmetic circuits. J. of Software Tools for Technology Transfer. Springer (1999) (to appear)

    Google Scholar 

  14. Kapur, D., Zhang, H.: An overview of Rewrite Rule Laboratory (RRL). J. of Computer and Mathematics with Applications 29(2), 91–114 (1995)

    Article  MathSciNet  Google Scholar 

  15. Subramaniam, M.: Failure Analyses in Inductive Theorem Provers. Ph.D. Thesis, Department of Computer Science, University at Albany, State University of New York (1997)

    Google Scholar 

  16. Zhang, H., Kapur, D., Krishnamoorthy, M.S.: A mechanizable induction principle for equational specifications. In: Lusk, E. Overbeek, R. (eds.) CADE 1988. LNCS, vol. 310, pp. 250–265. Springer, Heidelberg (1988)

    Google Scholar 

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Kapur, D., Subramaniam, M. (2000). Extending Decision Procedures with Induction Schemes. In: McAllester, D. (eds) Automated Deduction - CADE-17. CADE 2000. Lecture Notes in Computer Science(), vol 1831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10721959_26

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  • DOI: https://doi.org/10.1007/10721959_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67664-5

  • Online ISBN: 978-3-540-45101-3

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