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**Harvard**

Gupta, A., Kovacs, L., Kragl, B. och Voronkov, A. (2014) *Extensional crisis and proving identity*.

** BibTeX **

@conference{

Gupta2014,

author={Gupta, A. and Kovacs, Laura and Kragl, B. and Voronkov, A.},

title={Extensional crisis and proving identity},

booktitle={Lecture Notes in Computer Science: Automated Technology for Verification and Analysis. 12th International Symposium, ATVA 2014, Sydney, NSW, Australia, November 3-7, 2014},

isbn={978-3-319-11935-9},

pages={185-200},

abstract={Extensionality axioms are common when reasoning about data collections, such as arrays and functions in program analysis, or sets in mathematics. An extensionality axiom asserts that two collections are equal if they consist of the same elements at the same indices. Using extensionality is often required to show that two collections are equal. A typical example is the set theory theorem (∀x)(∀y)x∪y = y ∪x. Interestingly, while humans have no problem with proving such set identities using extensionality, they are very hard for superposition theorem provers because of the calculi they use. In this paper we show how addition of a new inference rule, called extensionality resolution, allows first-order theorem provers to easily solve problems no modern first-order theorem prover can solve. We illustrate this by running the VAMPIRE theorem prover with extensionality resolution on a number of set theory and array problems. Extensionality resolution helps VAMPIRE to solve problems from the TPTP library of first-order problems that were never solved before by any prover.},

year={2014},

}

** RefWorks **

RT Conference Proceedings

SR Electronic

ID 216646

A1 Gupta, A.

A1 Kovacs, Laura

A1 Kragl, B.

A1 Voronkov, A.

T1 Extensional crisis and proving identity

YR 2014

T2 Lecture Notes in Computer Science: Automated Technology for Verification and Analysis. 12th International Symposium, ATVA 2014, Sydney, NSW, Australia, November 3-7, 2014

SN 978-3-319-11935-9

SP 185

OP 200

AB Extensionality axioms are common when reasoning about data collections, such as arrays and functions in program analysis, or sets in mathematics. An extensionality axiom asserts that two collections are equal if they consist of the same elements at the same indices. Using extensionality is often required to show that two collections are equal. A typical example is the set theory theorem (∀x)(∀y)x∪y = y ∪x. Interestingly, while humans have no problem with proving such set identities using extensionality, they are very hard for superposition theorem provers because of the calculi they use. In this paper we show how addition of a new inference rule, called extensionality resolution, allows first-order theorem provers to easily solve problems no modern first-order theorem prover can solve. We illustrate this by running the VAMPIRE theorem prover with extensionality resolution on a number of set theory and array problems. Extensionality resolution helps VAMPIRE to solve problems from the TPTP library of first-order problems that were never solved before by any prover.

LA eng

DO 10.1007/978-3-319-11936-6_14

LK http://dx.doi.org/10.1007/978-3-319-11936-6_14

OL 30