Spiking neural P systems: matrix representation and formal verification

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Publication date
2021-062021-06
Keyword
Membrane computingSpiking neural P systems
Petri nets
Kernel P systems
KPWORKBENCH
Formal verification
Rights
(c) 2021 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/)Peer-Reviewed
YesOpen Access status
GoldAccepted for publication
2021-03-24
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Structural and behavioural properties of models are very important in development of complex systems and applications. In this paper, we investigate such properties for some classes of SN P systems. First, a class of SN P systems associated to a set of routing problems are investigated through their matrix representation. This allows to make certain connections amongst some of these problems. Secondly, the behavioural properties of these SN P systems are formally verified through a natural and direct mapping of these models into kP systems which are equipped with adequate formal verification methods and tools. Some examples are used to prove the effectiveness of the verification approach.Version
Published versionCitation
Gheorghe M, Lefticaru R, Konur S et al (2021) Spiking neural P systems: matrix representation and formal verification. Journal of Membrane Computing. 3: 133-148.Link to Version of Record
https://doi.org/10.1007/s41965-021-00075-1Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1007/s41965-021-00075-1