<div class="csl-bib-body">
<div class="csl-entry">Alhazov, A., Freund, R., Ivanov, S., & Verlan, S. (2022). Tissue P Systems with Vesicles of Multisets. <i>International Journal of Foundations of Computer Science</i>, <i>33</i>(03n04), 179–202. https://doi.org/10.1142/S0129054122410015</div>
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dc.identifier.issn
0129-0541
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/81182
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dc.description
This paper is an extended and improved version of the paper presented at AFL 2017 in Debrecen: https://doi.org/10.4204/eptcs.252.6
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dc.description.abstract
We consider tissue P systems working on vesicles of multisets with the very simple operations of insertion, deletion, and substitution of single objects. With the whole multiset being enclosed in a vesicle, sending it to a target cell can be indicated in those simple rules working on the multiset. As derivation modes we consider the sequential derivation mode, where, if possible, one rule is applied in a derivation step, and the set maximally parallel derivation mode, where in each derivation step a non-extendable set of rules indicating the same target cell is applied. With the set maximally parallel derivation mode, computational completeness can already be obtained with tissue P systems having a tree structure, whereas tissue P systems even with an arbitrary communication structure are not computationally complete when working in the sequential mode. Adding polarizations - only the three polarizations - 1, 0, 1 are sufficient - allows for obtaining computational completeness even for tissue P systems working in the sequential mode.
en
dc.language.iso
en
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dc.publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
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dc.relation.ispartof
International Journal of Foundations of Computer Science