Imperial College London

ProfessorNobukoYoshida

Faculty of EngineeringDepartment of Computing

Academic Visitor
 
 
 
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Contact

 

+44 (0)20 7594 8240n.yoshida Website

 
 
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Location

 

556Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Medic:2020:10.1016/j.ic.2020.104644,
author = {Medic, D and Mezzina, CA and Phillips, I and Yoshida, N},
doi = {10.1016/j.ic.2020.104644},
journal = {Information and Computation},
title = {A parametric framework for reversible pi-calculi},
url = {http://dx.doi.org/10.1016/j.ic.2020.104644},
volume = {275},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper presents a study of causality in a reversible, concurrent setting. There exist various notions of causality inπ-calculus, which differ in the treatment of parallel extrusions of the same name. Hence, by using a parametric way of bookkeeping the order and the dependencies among extruders it is possible to map different causal semantics into the same framework. Starting from this simple observation, we present a uniform framework forreversibleπ-calculi that is parametric with respect to a data structure that stores information about the extrusion of a name. Different data structures yield different approaches to the parallel extrusion problem. We map three well-known causal semantics into our framework. We prove causal-consistency for the three instances of our framework. Furthermore, we prove a causal correspondence between the appropriate instances of the framework and the Boreale-Sangiorgi semantics and an operational correspondence with the reversibleπ-calculus causal semantics.
AU - Medic,D
AU - Mezzina,CA
AU - Phillips,I
AU - Yoshida,N
DO - 10.1016/j.ic.2020.104644
PY - 2020///
SN - 0890-5401
TI - A parametric framework for reversible pi-calculi
T2 - Information and Computation
UR - http://dx.doi.org/10.1016/j.ic.2020.104644
UR - http://hdl.handle.net/10044/1/83414
VL - 275
ER -