Computing with SN P systems with I/O mode

P systems were introduced more than two decades ago by Gheorghe Pǎun. They are known as nondeterministic maximally parallel computing models. Most of their variants are proved to be capable of solving NP problems in polynomial time. This work focuses on using neural-like P systems to simulate unifor...

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Published inJournal of membrane computing Vol. 2; no. 4; pp. 230 - 245
Main Author Adorna, Henry N.
Format Journal Article
LanguageEnglish
Published Singapore Springer Singapore 01.12.2020
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ISSN2523-8906
2523-8914
DOI10.1007/s41965-020-00059-7

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Abstract P systems were introduced more than two decades ago by Gheorghe Pǎun. They are known as nondeterministic maximally parallel computing models. Most of their variants are proved to be capable of solving NP problems in polynomial time. This work focuses on using neural-like P systems to simulate uniform sequential computing models. In particular, we consider a so-called Spiking Neural P module (SN P module) computing finite-state functions. We define and characterize a so-called (SN) P automatic sequence by SN P modules.
AbstractList P systems were introduced more than two decades ago by Gheorghe Pǎun. They are known as nondeterministic maximally parallel computing models. Most of their variants are proved to be capable of solving NP problems in polynomial time. This work focuses on using neural-like P systems to simulate uniform sequential computing models. In particular, we consider a so-called Spiking Neural P module (SN P module) computing finite-state functions. We define and characterize a so-called (SN) P automatic sequence by SN P modules.
Author Adorna, Henry N.
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  organization: Department of Computer Science (Algorithm and Complexity), University of the Philippines Diliman
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Cites_doi 10.1017/CBO9780511546563
10.1007/s11047-006-9024-6
10.1007/s11047-009-9159-3
10.1007/978-3-642-56196-2
10.1007/s11047-016-9563-4
10.1007/s41965-019-00020-3
10.1109/TCYB.2020.3003060
10.1016/j.ic.2020.104542
10.1006/jcss.1999.1693
10.1007/s41965-019-00021-2
10.1007/s41965-020-00033-3
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Keywords Spiking neural P Systems
Membrane computing
Automatic sequences
Deterministic finite automata with output
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PublicationTitle Journal of membrane computing
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References Martínez-del-Amor, M.Á., Orellana-Martín, D., Cabarle, F.G.C., Pérez-Jiménez, M.J., & Adorna, H.N. (2017). Sparse-matrix representation of spiking neural P systems for GPU. Fifteenth Brainstorming Week on Membrane Computing (BWMC2017) Fénix Editora. Sevilla, Spain pp. 161–170.
OchirbatOIshdorjTCichonGAn error-tolerant serial binary full-adder via a spiking neural P system using HP/LP basic neuronsJournal of Membrane Computing202024248407188110.1007/s41965-020-00033-3
Cabarle, F.G., Buno, K.C., & Adorna H.N. (2012). Spiking neural P systems generating the Thue-Morse sequnce. In: Pan, L., et al. Pre-proceedings of Asian Conference on Membrane Computing, pp 161-169
PǎunGComputing with membranesJournal of Computer System Sciences2000611108143177686610.1006/jcss.1999.1693
PǎunGMembrane computing—An introduction2002BerlinSpringer10.1007/978-3-642-56196-2
de la CruzRTACabarleFGAdornaHNGenerating context-free languages using spiking neural P systems with structural plasticityJournal of Membrane Computing20191161177405998010.1007/s41965-019-00021-2
SalomaaAFormal languages1973CambridgeAcademic Press, Inc0262.68025
Manuel, G.A. (2007) P system and automata. Department of Mathematics Undergraduate Thesis, UPDiliman.
AlloucheJ-PShallitJAutomatic sequences: Theory, applications, generalizations2003CambridgeCambridge Iniversity press10.1017/CBO9780511546563
IonescuMPaunGYokomoriTSpiking neural P systemsFundamenta Informaticae2006712–327930822453371110.68043
SongBLiKOrellana-MartinDValenia-CabreraLPerez-JimenezMJCell-like P systems with evolutional symport/antiport rules and membrane creationInformation and Computation2020417900910.1016/j.ic.2020.104542
IbarraOHPerez-JimenezMJYokomoriTOn spiking neural P systemsNatural Computing20109475491265826710.1007/s11047-009-9159-3
SongBZengXJiangMPerez-JimenezMJMonodirectoonal tissue P systems with promotereIEEE Transactions on Cybernetics202010.1109/TCYB.2020.3003060
JimenezZBCabarleFGCde la CruzRTAMatrix representation and simulation algorithm of spiking neural P systems with structural plasticityJournal of Membrane Computing,20191145160405997910.1007/s41965-019-00020-3
SipserMIntroduction to the theory of computation20062BostonThompson Course tech1191.68311
ChenHIonescuMIshdorjT-OPǎunAPǎunGhPerez-JimenezMJSpiking neural P systems with extended rules: Universality and languagesNatural Computing20087147166240320810.1007/s11047-006-9024-6
PanLWuTZhangZA bibliography of spiking neural P systemsBULLETIN of the International Membrane Computing Society (I M C S)2006116378
CarandangJPVillafloresJMCabarleFGAdornaHNMartinez-del-AmorMACuSNP: Spiking neural P systems simulators in CUDARomanian Journal of Information Science and Technology20172015770
CabarleFGCAdornaHNPerez-JimenezMJNotes on spiking neural P systems and finite automataNatural Computing2016154533539356965210.1007/s11047-016-9563-4
PǎunGRozenbergGSalomaaAHandbook of membrane computing2010OxfordOxford University Press1237.68001
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References_xml – reference: PǎunGMembrane computing—An introduction2002BerlinSpringer10.1007/978-3-642-56196-2
– reference: SongBLiKOrellana-MartinDValenia-CabreraLPerez-JimenezMJCell-like P systems with evolutional symport/antiport rules and membrane creationInformation and Computation2020417900910.1016/j.ic.2020.104542
– reference: CarandangJPVillafloresJMCabarleFGAdornaHNMartinez-del-AmorMACuSNP: Spiking neural P systems simulators in CUDARomanian Journal of Information Science and Technology20172015770
– reference: Manuel, G.A. (2007) P system and automata. Department of Mathematics Undergraduate Thesis, UPDiliman.
– reference: OchirbatOIshdorjTCichonGAn error-tolerant serial binary full-adder via a spiking neural P system using HP/LP basic neuronsJournal of Membrane Computing202024248407188110.1007/s41965-020-00033-3
– reference: Cabarle, F.G., Buno, K.C., & Adorna H.N. (2012). Spiking neural P systems generating the Thue-Morse sequnce. In: Pan, L., et al. Pre-proceedings of Asian Conference on Membrane Computing, pp 161-169
– reference: ChenHIonescuMIshdorjT-OPǎunAPǎunGhPerez-JimenezMJSpiking neural P systems with extended rules: Universality and languagesNatural Computing20087147166240320810.1007/s11047-006-9024-6
– reference: de la CruzRTACabarleFGAdornaHNGenerating context-free languages using spiking neural P systems with structural plasticityJournal of Membrane Computing20191161177405998010.1007/s41965-019-00021-2
– reference: SalomaaAFormal languages1973CambridgeAcademic Press, Inc0262.68025
– reference: IbarraOHPerez-JimenezMJYokomoriTOn spiking neural P systemsNatural Computing20109475491265826710.1007/s11047-009-9159-3
– reference: PanLWuTZhangZA bibliography of spiking neural P systemsBULLETIN of the International Membrane Computing Society (I M C S)2006116378
– reference: AlloucheJ-PShallitJAutomatic sequences: Theory, applications, generalizations2003CambridgeCambridge Iniversity press10.1017/CBO9780511546563
– reference: PǎunGComputing with membranesJournal of Computer System Sciences2000611108143177686610.1006/jcss.1999.1693
– reference: IonescuMPaunGYokomoriTSpiking neural P systemsFundamenta Informaticae2006712–327930822453371110.68043
– reference: JimenezZBCabarleFGCde la CruzRTAMatrix representation and simulation algorithm of spiking neural P systems with structural plasticityJournal of Membrane Computing,20191145160405997910.1007/s41965-019-00020-3
– reference: SipserMIntroduction to the theory of computation20062BostonThompson Course tech1191.68311
– reference: SongBZengXJiangMPerez-JimenezMJMonodirectoonal tissue P systems with promotereIEEE Transactions on Cybernetics202010.1109/TCYB.2020.3003060
– reference: PǎunGRozenbergGSalomaaAHandbook of membrane computing2010OxfordOxford University Press1237.68001
– reference: CabarleFGCAdornaHNPerez-JimenezMJNotes on spiking neural P systems and finite automataNatural Computing2016154533539356965210.1007/s11047-016-9563-4
– reference: Martínez-del-Amor, M.Á., Orellana-Martín, D., Cabarle, F.G.C., Pérez-Jiménez, M.J., & Adorna, H.N. (2017). Sparse-matrix representation of spiking neural P systems for GPU. Fifteenth Brainstorming Week on Membrane Computing (BWMC2017) Fénix Editora. Sevilla, Spain pp. 161–170.
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SubjectTerms Artificial Intelligence
Computation by Abstract Devices
Computational Biology/Bioinformatics
Computer Science
Optimization
Regular Paper
Theory of Computation
Title Computing with SN P systems with I/O mode
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