TY - JOUR
T1 - Possible worlds and resources: The semantics of BI
AU - Pym, D J
AU - O'Hearn, P W
AU - Yang, H
N1 - ID number: ISI:000221372000011
PY - 2004
Y1 - 2004
N2 - The logic of bunched implications, BI, is a substructural system which freely combines an additive (intuitionistic) and a multiplicative (linear) implication via bunches (contexts with two combining operations, one which admits Weakening and Contraction and one which does not). BI may be seen to arise from two main perspectives. On the one hand, from proof-theoretic or categorical concerns and, on the other, from a possible-worlds semantics based on preordered (commutative) monoids. This semantics may be motivated from a basic model of the notion of resource. We explain BI's proof-theoretic, categorical and semantic origins. We discuss in detail the question of completeness, explaining the essential distinction between BI with and without perpendicular to (the unit of boolean OR). We give an extensive discussion of BI as a semantically based logic of resources, giving concrete models based on Petri nets, ambients, computer memory, logic programming, and money. (C) 2003 Published by Elsevier B.V.
AB - The logic of bunched implications, BI, is a substructural system which freely combines an additive (intuitionistic) and a multiplicative (linear) implication via bunches (contexts with two combining operations, one which admits Weakening and Contraction and one which does not). BI may be seen to arise from two main perspectives. On the one hand, from proof-theoretic or categorical concerns and, on the other, from a possible-worlds semantics based on preordered (commutative) monoids. This semantics may be motivated from a basic model of the notion of resource. We explain BI's proof-theoretic, categorical and semantic origins. We discuss in detail the question of completeness, explaining the essential distinction between BI with and without perpendicular to (the unit of boolean OR). We give an extensive discussion of BI as a semantically based logic of resources, giving concrete models based on Petri nets, ambients, computer memory, logic programming, and money. (C) 2003 Published by Elsevier B.V.
UR - https://www.scopus.com/pages/publications/2042469457
U2 - 10.1016/j.ics.2003.11.020
DO - 10.1016/j.ics.2003.11.020
M3 - Article
SN - 0304-3975
VL - 315
SP - 257
EP - 305
JO - Theoretical Computer Science
JF - Theoretical Computer Science
IS - 1
ER -