Behaviour, interaction and dynamics
The growth and diffusion of reconfigurable and adaptive systems motivate the foundational study of models of software connectors that can evolve dynamically, as opposed to the better understood notion of static connectors. In this paper we investigate the interplay of behaviour, interaction and dyna...
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2014
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v8373_n_p382_Bruni http://hdl.handle.net/20.500.12110/paper_03029743_v8373_n_p382_Bruni |
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paper:paper_03029743_v8373_n_p382_Bruni2023-06-08T15:28:52Z Behaviour, interaction and dynamics Computer science Computers Component framework Infinite state systems New components Reachability Reconfigurable Software connectors Artificial intelligence The growth and diffusion of reconfigurable and adaptive systems motivate the foundational study of models of software connectors that can evolve dynamically, as opposed to the better understood notion of static connectors. In this paper we investigate the interplay of behaviour, interaction and dynamics in the context of the BIP component framework, here denoted BI(P), as we disregard priorities. We introduce two extensions of BIP: 1) reconfigurable BI(P) allows to reconfigure the set of admissible interactions, while preserving the set of interacting components; 2) dynamic BI(P) allows to spawn new components and interactions during execution. Our main technical results show that reconfigurable BI(P) is as expressive as BI(P), while dynamic BI(P) allows to deal with infinite state systems. Still, we show that reachability remains decidable for dynamic BI(P). © 2014 Springer-Verlag Berlin Heidelberg. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v8373_n_p382_Bruni http://hdl.handle.net/20.500.12110/paper_03029743_v8373_n_p382_Bruni |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Computer science Computers Component framework Infinite state systems New components Reachability Reconfigurable Software connectors Artificial intelligence |
spellingShingle |
Computer science Computers Component framework Infinite state systems New components Reachability Reconfigurable Software connectors Artificial intelligence Behaviour, interaction and dynamics |
topic_facet |
Computer science Computers Component framework Infinite state systems New components Reachability Reconfigurable Software connectors Artificial intelligence |
description |
The growth and diffusion of reconfigurable and adaptive systems motivate the foundational study of models of software connectors that can evolve dynamically, as opposed to the better understood notion of static connectors. In this paper we investigate the interplay of behaviour, interaction and dynamics in the context of the BIP component framework, here denoted BI(P), as we disregard priorities. We introduce two extensions of BIP: 1) reconfigurable BI(P) allows to reconfigure the set of admissible interactions, while preserving the set of interacting components; 2) dynamic BI(P) allows to spawn new components and interactions during execution. Our main technical results show that reconfigurable BI(P) is as expressive as BI(P), while dynamic BI(P) allows to deal with infinite state systems. Still, we show that reachability remains decidable for dynamic BI(P). © 2014 Springer-Verlag Berlin Heidelberg. |
title |
Behaviour, interaction and dynamics |
title_short |
Behaviour, interaction and dynamics |
title_full |
Behaviour, interaction and dynamics |
title_fullStr |
Behaviour, interaction and dynamics |
title_full_unstemmed |
Behaviour, interaction and dynamics |
title_sort |
behaviour, interaction and dynamics |
publishDate |
2014 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v8373_n_p382_Bruni http://hdl.handle.net/20.500.12110/paper_03029743_v8373_n_p382_Bruni |
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1768545736808464384 |