TY - CHAP
T1 - Resource tableaux - (extended abstract)
AU - Galmiche, Didier
AU - Mery, Daniel
AU - Pym, David
N1 - ID number: ISI:000187294300013
PY - 2002
Y1 - 2002
N2 - The logic of bunched implications, BI, provides a logical analysis of a basic notion of resource rich enough to provide a "pointer logic" semantics for programs which manipulate mutable data structures. We develop a theory of semantic tableaux for BI, so providing an elegant basis for efficient theorem proving tools for BI. It is based on the use of an algebra of labels for BI's tableaux to solve the resource-distribution problem, the labels being the elements of resource models. For BI with inconsistency, perpendicular to, the challenge consists in dealing with BI's Grothendieck topological models within such a proof-search method, based on labels. We prove soundness and completeness theorems for a resource tableaux method TBI with respect to this semantics and provide a way to build countermodels from so-called dependency graphs. As consequences, we have two strong new results for BI: the decidability of propositional BI and the finite model property with respect to Grothendieck topological semantics. In addition, we propose, by considering partially defined monoids, a new semantics which generalizes the semantics of BI's pointer logic and for which BI is complete.
AB - The logic of bunched implications, BI, provides a logical analysis of a basic notion of resource rich enough to provide a "pointer logic" semantics for programs which manipulate mutable data structures. We develop a theory of semantic tableaux for BI, so providing an elegant basis for efficient theorem proving tools for BI. It is based on the use of an algebra of labels for BI's tableaux to solve the resource-distribution problem, the labels being the elements of resource models. For BI with inconsistency, perpendicular to, the challenge consists in dealing with BI's Grothendieck topological models within such a proof-search method, based on labels. We prove soundness and completeness theorems for a resource tableaux method TBI with respect to this semantics and provide a way to build countermodels from so-called dependency graphs. As consequences, we have two strong new results for BI: the decidability of propositional BI and the finite model property with respect to Grothendieck topological semantics. In addition, we propose, by considering partially defined monoids, a new semantics which generalizes the semantics of BI's pointer logic and for which BI is complete.
KW - tableaux
KW - resources
KW - decidability
KW - semantics
KW - finite model property
KW - bi
KW - logic
UR - http://dx.doi.org/10.1007/3-540-45793-3
U2 - 10.1007/3-540-45793-3
DO - 10.1007/3-540-45793-3
M3 - Chapter or section
SN - 9783540442400
VL - 2471
T3 - Lecture Notes in Computer Science
SP - 183
EP - 199
BT - Computer Science Logic
A2 - Bradfield, J.
PB - Springer
CY - Berlin, Germany
T2 - 16th International Workshop, CSL 2002 11th Annual Conference of the EACSL
Y2 - 22 September 2002 through 25 September 2002
ER -