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    Spiking neural P systems: matrix representation and formal verification

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    gheorghe_et_al_2021 (2.298Mb)
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    Publication date
    2021-06
    Author
    Gheorghe, Marian
    Lefticaru, Raluca
    Konur, Savas
    Niculescu, I.M.
    Adorna, H.N.
    Keyword
    Membrane computing
    Spiking 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
    Yes
    Open Access status
    Gold
    
    Metadata
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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.
    URI
    http://hdl.handle.net/10454/18471
    Version
    Published version
    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.
    Link to publisher’s version
    https://doi.org/10.1007/s41965-021-00075-1
    Type
    Article
    Collections
    Engineering and Digital Technology Publications

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