Abstract
Causal reversibility in concurrent systems means that events that the origin of other events can only be undone after undoing of its consequences. In opposite to backtracking, the events which are independent of each other can be reversed in an arbitrary order, in the other words, we have flexible reversibility w.r.t the causality relation. An implementation of Individual token interpretation ofPetri Nets (IPNs) was been proposed by Rob Van Glabbeek et al, the present paper investigates into a study of causal reversibility within IPNs. Given N be an IPN, by adding an intuitive firing rule to undo transitions according to the causality relation, the coherence of N is assured, i.e., the set of all reachable states of N in the reversible version and that of the original one are identical. Furthermore, reversibility in N is flexible and their initial state can be accessible in reverse from any state. In this paper an approach for controllingcausal-reversibility within IPNs is proposed.
Publisher
AGHU University of Science and Technology Press
Subject
Artificial Intelligence,Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Vision and Pattern Recognition,Modelling and Simulation,Computer Science (miscellaneous)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Token Multiplicity in Reversing Petri Nets Under the Individual Token Interpretation;Electronic Proceedings in Theoretical Computer Science;2022-09-06
2. Reversible computation in nets with bonds;Journal of Logical and Algebraic Methods in Programming;2022-01