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Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion On fairness in theorem proving Maria Paola Bonacina Dipartimento di Informatica Universit` a degli Studi di Verona Verona, Italy, EU Talk given at


  1. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion On fairness in theorem proving Maria Paola Bonacina Dipartimento di Informatica Universit` a degli Studi di Verona Verona, Italy, EU Talk given at Microsoft Research, Redmond, Washington, USA 26 June 2013 Maria Paola Bonacina On fairness in theorem proving

  2. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Maria Paola Bonacina On fairness in theorem proving

  3. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion The gist of this talk ◮ Theorem proving is search, not saturation ◮ The relevant property is fairness ◮ Fairness should earn less than saturation ◮ Fairness should consider both expansion and contraction Maria Paola Bonacina On fairness in theorem proving

  4. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Fairness in computing ◮ Scheduling: no starvation of processes ◮ Search: no neglect of “useful” moves Maria Paola Bonacina On fairness in theorem proving

  5. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Automated reasoning ◮ Inference system or Transition system: set of non-deterministic rules defines the search space of all possible steps ◮ Search plan: controls rules application guides search for proof/model adds determinism: given input, unique derivation Procedure/Strategy = Rule system + Search plan Maria Paola Bonacina On fairness in theorem proving

  6. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Requirements ◮ System of rules: completeness there exist successful derivations ◮ Search plan: fairness ensure that the generated derivation succeeds Maria Paola Bonacina On fairness in theorem proving

  7. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Theorem proving (TP) ◮ Inference system: refutational completeness if input set unsat there exist derivations yielding ⊥ (and a proof) ◮ Search plan: fairness ensure that the generated derivation yields ⊥ ◮ Complete TP strategy = Refutationally complete inference system + Fair search plan Maria Paola Bonacina On fairness in theorem proving

  8. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Fairness? ◮ Exhaustive: consider eventually all applicable steps trivial, brute force way to be fair ◮ How to be fair without being exhaustive? ◮ Non-trivial definitions of fairness? ◮ Non-trivially fair search plans? ◮ Non-trivial fairness: reduce gap between completeness and efficiency Maria Paola Bonacina On fairness in theorem proving

  9. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Fairness and redundancy ◮ Consider eventually all needed steps: What is needed? ◮ Dually: what is not needed, or: what is redundant? ◮ Fairness and redundancy are related Maria Paola Bonacina On fairness in theorem proving

  10. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Redundancy I ◮ Resolution: generate resolvents by resolving complementary literals ◮ Subsumption: clause C eliminates less general clause D ◮ Subsumption ordering: D • ≥ C if C σ ⊆ D (as multisets) D • > C if D • ≥ C and C � • ≥ D ◮ D redundant in S ( D ∈ Red ( S )) if there exists C ∈ S that subsumes D (strictly) [Mich¨ ael Rusinowitch] Maria Paola Bonacina On fairness in theorem proving

  11. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Redundancy II ◮ Well-founded ordering ≺ on terms and literals ◮ Superposition: resolution with equality built-in: superpose maximal side of maximal equation into maximal literal/side (maximal after mgu) ◮ Simplification: by well-founded rewriting ◮ Ground D redundant in S if for ground instances C 1 . . . C n of clauses in S , C 1 . . . C n ≺ D and C 1 . . . C n | = D ; D redundant in S ( D ∈ Red ( S )) if all its ground instances are [Leo Bachmair and Harald Ganzinger] Maria Paola Bonacina On fairness in theorem proving

  12. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Redundancy III ◮ From clauses to inferences ◮ Redundant inference: uses/generates redundant clause Maria Paola Bonacina On fairness in theorem proving

  13. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Fairness is a global property Derivation: S 0 ⊢ S 1 ⊢ . . . S i ⊢ S i +1 . . . Limit: set of persistent clauses � � S ∞ = S i j ≥ 0 i ≥ j Maria Paola Bonacina On fairness in theorem proving

  14. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Uniform fairness C ∈ I E ( S ): C generated from S by expansion S 0 ⊢ S 1 ⊢ . . . S i ⊢ S i +1 . . . ◮ For all C ∈ I E ( S ∞ ) exists j such that C ∈ S j ∪ Red ( S j ) ◮ For all C ∈ I E ( S ∞ \ Red ( S ∞ )) exists j such that C ∈ S j ◮ All non-redundant expansion inferences done eventually [Leo Bachmair and Harald Ganzinger] Maria Paola Bonacina On fairness in theorem proving

  15. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion A weaker notion of fairness? ◮ Uniform fairness is for saturation ◮ Fairness for theorem proving? Maria Paola Bonacina On fairness in theorem proving

  16. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Proof orderings ◮ Well-founded proof ordering < [Leo Bachmair, Nachum Dershowitz and Jieh Hsiang] ◮ May reduce to formula ordering if we compare proofs by their premises ◮ But it is more flexible: small proofs may have large premises Maria Paola Bonacina On fairness in theorem proving

  17. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Proof reduction ◮ Justification: set of proofs P ◮ Comparing justifications: Q better than P , written P ⊒ Q : ∀ p ∈ P . ∃ q ∈ Q . p ≥ q Maria Paola Bonacina On fairness in theorem proving

  18. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Comparing presentations by their proofs ◮ S presentation of Th ( S ) ◮ Proofs with premises in S : Pf ( S ) ◮ S ′ simpler than S , written S � S ′ : S ≡ S ′ and Pf ( S ) ⊒ Pf ( S ′ ) Maria Paola Bonacina On fairness in theorem proving

  19. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Best proofs ◮ Minimal proofs in a justification: µ ( P ) ◮ Normal-form proofs of S : Nf ( S ) = µ ( Pf ( Th ( S ))) the minimal proofs in the deductively closed presentation Maria Paola Bonacina On fairness in theorem proving

  20. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Saturated vs. complete presentation ◮ Saturated: provides all normal-form proofs ◮ Complete: provides a normal-form proof for every theorem ◮ They coincide if minimal proofs are unique (e.g., total proof ordering) Maria Paola Bonacina On fairness in theorem proving

  21. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Example I { a ≃ b , b ≃ c , a ≃ c } → ◦ ∗ ∗ ← t Minimal proofs: valley proofs: s ◮ a ≻ b ≻ c ◮ Complete: { b ≃ c , a ≃ c } with a → c ← b as minimal proof of a ≃ b ◮ Saturated: { a ≃ b , b ≃ c , a ≃ c } with both a → b and a → c ← b Maria Paola Bonacina On fairness in theorem proving

  22. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Example II { a ≃ b , b ≃ c , a ≃ c } → ◦ ∗ ∗ Minimal proofs: valley proofs: s ← t ◮ a # b , a ≻ c , b ≻ c ◮ Complete: { b ≃ c , a ≃ c } ◮ Saturated: { b ≃ c , a ≃ c } because a ↔ b not minimal Maria Paola Bonacina On fairness in theorem proving

  23. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Canonical presentation ◮ Contracted: contains all and only the premises of its minimal proofs ◮ Canonical ( S ♯ ): ◮ Contains all and only the premises of normal-form proofs ◮ Saturated and contracted ◮ Smallest saturated presentation ◮ Simplest presentation [Nachum Dershowitz and Claude Kirchner] Maria Paola Bonacina On fairness in theorem proving

  24. Outline Motivation Uniform fairness for saturation Fairness for theorem proving Discussion Equational theories ◮ Normal-form proof of ∀ ¯ x s ≃ t : → ◦ ∗ ∗ ← ˆ valley proof ˆ s t by rewriting s and ˆ ˆ t are s and t with variables replaced by Skolem constants ◮ Saturated: convergent (confluent and terminating) ◮ Contracted: inter-reduced ◮ Canonical: convergent and inter-reduced ◮ Finite and canonical: decision procedure Maria Paola Bonacina On fairness in theorem proving

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