2018
DOI: 10.1007/978-3-030-00265-7_1
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Chocolate P Automata

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Cited by 2 publications
(3 citation statements)
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“…Definition 2 Let T(∈ S # ) be a multiset and (∈ A # ) be a multiset of reactions over A, where A is a set of reactions in S. Then, we say that (1) is enabled by…”
Section: Definitionmentioning
confidence: 99%
See 1 more Smart Citation
“…Definition 2 Let T(∈ S # ) be a multiset and (∈ A # ) be a multiset of reactions over A, where A is a set of reactions in S. Then, we say that (1) is enabled by…”
Section: Definitionmentioning
confidence: 99%
“…that the class of languages accepted by P automata is not beyond the class of context-sensitive languages, while P automata can characterize the class of recursively enumerable languages if terminal symbols are introduced and any other symbol is ignored [64]. Lately, several variants of input-driven tissue P automata (called chocolate automata) were investigated, in which both strings and multisets are considered for inputs, and the input symbol thoroughly controls the transition of computing processes [1]. Thus, RAs are closely related to a modified variant of P automata in which rules of replacing multisets (enhanced with inhibitor functioning) are used at each computation step, and neither membrane structure nor a mapping component is required.…”
Section: Membrane Computing Modelsmentioning
confidence: 99%
“…Many variants of SN P systems have been proposed, such as asynchronous SN P systems [3], sequential SN P systems [8], SN P systems with anti-spikes [16], homogenous SN P systems [47], SN P systems with astrocytes [19], SN P systems with weighted synapses [21], SN P systems with rules on synapses [32], SN P systems with weights [36], SN P systems with a generalized use of rules [52], SN P systems with white hole neurons [27], SN P systems with request rules [30], cell-like SN P systems [43], extended SN P systems [1], SN P systems with scheduled synapses [2], SN P systems with polarizations [19]. Most of the classes of SN P systems obtained are computationally universal, equivalent in power to Turing machines [4,11,15,31,33,35,40,42,46,51,53].…”
Section: Introductionmentioning
confidence: 99%