<div class="csl-bib-body">
<div class="csl-entry">Freund, R. (2020). How derivation modes and halting conditions may influence the computational power of P systems. <i>Journal of Membrane Computing</i>, <i>2</i>(1), 14–25. https://doi.org/10.1007/s41965-019-00028-9</div>
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dc.identifier.issn
2523-8906
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/140204
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dc.description.abstract
In the area of P systems, besides the standard maximally parallel derivation mode, many other derivation modes have been investigated, too. In this overview paper, many variants of hierarchical P systems using different derivation modes are considered and the effects of using different derivation modes, especially the maximally parallel derivation modes and the maximally parallel set derivation modes, on the generative and accepting power are illustrated. Moreover, an overview on some control mechanisms used for P systems is given. Furthermore, besides the standard total halting, we also consider different halting conditions such as unconditional halting and partial halting and explain how the use of different halting conditions may considerably change the computing power of P systems.
en
dc.language.iso
en
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dc.publisher
Springer
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dc.relation.ispartof
Journal of membrane computing
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Applied Mathematics
en
dc.subject
Computational Theory and Mathematics
en
dc.title
How derivation modes and halting conditions may influence the computational power of P systems