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Capturing membrane computing by ASMs

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dc.contributor.authorSchewe, Klaus-Dieter
dc.contributor.authorTec, Loredana
dc.contributor.authorWang, Qing
dc.contributor.editorButler, M
dc.contributor.editorHoang, T S
dc.contributor.editorRaschke, A
dc.contributor.editorReichl, K
dc.coverage.spatialSouthampton, United Kingdom
dc.date.accessioned2024-02-12T05:16:50Z
dc.date.createdJune 5-8 2018
dc.date.issued2018
dc.date.updated2022-10-02T07:19:26Z
dc.description.abstractNatural computing is a field of research that tries to imitate the ways of “computing” in nature. Membrane computing is a branch of natural computing that exploits hierarchically nested membrane structures that are associated with multisets of objects. The key notion is the P-system, which describes the transitions by rules for the creation, elimination and wandering of objects through membranes as well as manipulation of the membrane structure as such. In this short paper we sketch how P-systems can be captured by parallel ASMs. We further give a glimpse of further generalisations in several directions.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-331991270-7en_AU
dc.identifier.urihttp://hdl.handle.net/1885/313396
dc.language.isoen_AUen_AU
dc.publisherSpringer Verlagen_AU
dc.relation.ispartofseries6th International Conference on ABZ Conference on ASM, Alloy, B, TLA, VDM, and Z, ABZ 2018en_AU
dc.rights© Springer International Publishing AG, part of Springer Nature 2018en_AU
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_AU
dc.titleCapturing membrane computing by ASMsen_AU
dc.typeConference paperen_AU
local.bibliographicCitation.lastpage385en_AU
local.bibliographicCitation.startpage380en_AU
local.contributor.affiliationSchewe, Klaus-Dieter, Laboratory for Client-Centric Cloud Computingen_AU
local.contributor.affiliationTec, Loredana, Software Competence Center Hagenbergen_AU
local.contributor.affiliationWang, Qing, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidWang, Qing, u5170295en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor461104 - Neural networksen_AU
local.identifier.ariespublicationu3102795xPUB1640en_AU
local.identifier.doi10.1007/978-3-319-91271-4_27en_AU
local.identifier.scopusID2-s2.0-85047435599
local.publisher.urlhttps://link.springer.com/en_AU
local.type.statusPublished Versionen_AU

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