Distributed Adaptive Systems: Theory, Specification, Reasoning
| dc.contributor.author | Schewe, Klaus-Dieter | |
| dc.contributor.author | Ferrarotti, Flavio | |
| dc.contributor.author | Tec, Loredana | |
| dc.contributor.author | Wang, Qing | |
| dc.contributor.editor | Butler, M | |
| dc.contributor.editor | Hoang, T S | |
| dc.contributor.editor | Raschke, A | |
| dc.contributor.editor | Reichl, K | |
| dc.coverage.spatial | Southampton, United Kingdom | |
| dc.date.accessioned | 2024-02-12T05:29:44Z | |
| dc.date.created | June 5-8 2018 | |
| dc.date.issued | 2018 | |
| dc.date.updated | 2022-10-02T07:19:27Z | |
| dc.description.abstract | A distributed system can be characterised by autonomously acting agents, where each agent executes its own program, uses shared resources and communicates with the others, but otherwise is totally oblivious to the behaviour of the other agents. In a distributed adaptive system agents may change their programs, and enter or leave the collection at any time thereby changing the behaviour of the overall system. This article first develops a language-independent axiomatic definition of distributed adaptive systems and then presents concurrent reflective Abstract State Machines (crASMs), an abstract machine model for their specification. It can be proven that any distributed adaptive system as stipulated by the axiomatisation can be step-by-step simulated by a crASM. Proofs about crASMs can be grounded in a multiple-step logic, which extends known complete one-step logics for deterministic and non-deterministic ASMs. | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.isbn | 978-331991270-7 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/313398 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | Springer Verlag | en_AU |
| dc.relation.ispartofseries | 6th International Conference on ABZ Conference on ASM, Alloy, B, TLA, VDM, and Z, ABZ 2018 | en_AU |
| dc.rights | © Springer International Publishing AG, part of Springer Nature 2018 | en_AU |
| dc.source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_AU |
| dc.title | Distributed Adaptive Systems: Theory, Specification, Reasoning | en_AU |
| dc.type | Conference paper | en_AU |
| local.bibliographicCitation.lastpage | 30 | en_AU |
| local.bibliographicCitation.startpage | 16 | en_AU |
| local.contributor.affiliation | Schewe, Klaus-Dieter, Laboratory for Client-Centric Cloud Computing | en_AU |
| local.contributor.affiliation | Ferrarotti, Flavio, Software Competence Center Hagenberg | en_AU |
| local.contributor.affiliation | Tec, Loredana, Software Competence Center Hagenberg | en_AU |
| local.contributor.affiliation | Wang, Qing, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.authoruid | Wang, Qing, u5170295 | en_AU |
| local.description.embargo | 2099-12-31 | |
| local.description.notes | Imported from ARIES | en_AU |
| local.description.refereed | Yes | |
| local.identifier.absfor | 460605 - Distributed systems and algorithms | en_AU |
| local.identifier.ariespublication | u3102795xPUB1669 | en_AU |
| local.identifier.doi | 10.1007/978-3-319-91271-4_2 | en_AU |
| local.identifier.scopusID | 2-s2.0-85047398027 | |
| local.publisher.url | https://link.springer.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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