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ROGALEWICZ, A. ŠIMÁČEK, J. IOSIF, R.
Originální název
The Tree Width of Separation Logic with Recursive Definitions
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
Separation Logic is a widely used formalism for describing dynamically allocated linked data structures, such as lists, trees, etc. The decidability status of various fragments of the logic constitutes a long standing open problem. Current results report on techniques to decide satisfiability and validity of entailments for Separation Logic(s) over lists (possibly with data). In this paper we establish a more general decidability result. We prove that any Separation Logic formula using rather general recursively defined predicates is decidable for satisfiability, and moreover, entailments between such formulae are decidable for validity. These predicates are general enough to define (doubly-) linked lists, trees, and structures more general than trees, such as trees whose leaves are chained in a list. The decidability proofs are by reduction to decidability ofMonadic Second Order Logic on graphs with bounded tree width.
Klíčová slova
Separation logic, Tree width, MSO, Graphs
Autoři
ROGALEWICZ, A.; ŠIMÁČEK, J.; IOSIF, R.
Rok RIV
2013
Vydáno
12. 3. 2013
Nakladatel
Springer Verlag
Místo
Berlin
ISBN
978-3-642-38573-5
Kniha
Automated Deduction - CADE-24
Edice
Lecture Notes in Artificial Intelligence
ISSN
0302-9743
Periodikum
Lecture Notes in Computer Science
Ročník
Číslo
7898
Stát
Spolková republika Německo
Strany od
21
Strany do
38
Strany počet
18
URL
http://link.springer.com/chapter/10.1007/978-3-642-38574-2_2
BibTex
@inproceedings{BUT103458, author="Adam {Rogalewicz} and Jiří {Šimáček} and Iosif {Radu}", title="The Tree Width of Separation Logic with Recursive Definitions", booktitle="Automated Deduction - CADE-24", year="2013", series="Lecture Notes in Artificial Intelligence", journal="Lecture Notes in Computer Science", volume="2013", number="7898", pages="21--38", publisher="Springer Verlag", address="Berlin", doi="10.1007/978-3-642-38574-2\{_}2", isbn="978-3-642-38573-5", issn="0302-9743", url="http://link.springer.com/chapter/10.1007/978-3-642-38574-2_2" }