Alhazov, A., Freund, R., Ivanov, S., & Verlan, S. (2022). Tissue P Systems with Vesicles of Multisets. International Journal of Foundations of Computer Science, 33(03n04), 179–202. https://doi.org/10.1142/S0129054122410015
International Journal of Foundations of Computer Science
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ISSN:
0129-0541
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Date (published):
2022
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Number of Pages:
24
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Publisher:
WORLD SCIENTIFIC PUBL CO PTE LTD
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Peer reviewed:
Yes
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Keywords:
Computational completeness; derivation modes; multisets; P systems; polarizations; vesicles
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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.
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Additional information:
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