Abstract
Tissue P systems with channel states are a class of parallel computing models, where the communication between two regions is regulated by a channel state, and at a computation step the state of a channel can evolve to one of the arbitrarily many states. In this work, we limit the “arbitrarily many states of a channel” to “two states of a channel”. Such a variant of P systems is called tissue P systems with flip-flop channel states (TPFFCSs). The computation power of TPFFCSs is studied. We show that TPFFCSs with arbitrarily many cells and antiport rules of length 2 are able to compute only finite sets of non-negative integers. However, TPFFCSs with two cells, antiport rules of length 3, or symport rules of length 2, or symport rules of length 1 and antiport rules of length 2 are proved to be Turing universal.
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The work of B. Song and L. Pan was supported by National Key Research and Development Program of China for International Science and Technology Cooperation Projects (No. 2017YFE0103900), National Natural Science Foundation of China (61320106005, 61602192, 61772214, and 61702383), China Postdoctoral Science Foundation (2016M600592 and 2017T100554), and the Innovation Scientists and Technicians Troop Construction Projects of Henan Province (154200510012). The work of Y. Wang was supported by National Natural Science Foundation of China (61472372 and 61632002) and Science and Technology Innovation Talents Henan Province (174200510012).
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Song, B., Pan, L., Jiang, S. et al. The computation power of tissue P systems with flip-flop channel states. Int J Adv Eng Sci Appl Math 10, 213–220 (2018). https://doi.org/10.1007/s12572-018-0225-x
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DOI: https://doi.org/10.1007/s12572-018-0225-x