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Spiking neural P systems: matrix representation and formal verification
Gheorghe, Marian Lefticaru, Raluca Konur, Savas Niculescu, I.M. Adorna, H.N.
Gheorghe, Marian
Lefticaru, Raluca
Konur, Savas
Niculescu, I.M.
Adorna, H.N.
Publication Date
2021-06, 2021-06
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(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/)
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Yes
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Gold
Accepted for publication
2021-03-24
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Abstract
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.
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Citation
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.
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Article