Changes for page Workpackages

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edited by Andrea Omicini
on 10/12/2020 18:35
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To version 5.1
edited by Andrea Omicini
on 10/12/2020 18:34
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25 25  Moreover it is outlined a incarnation of that model on the TuCSoN coordination infrastructure, which can be suitably enhanced with modules supporting
26 26  semantic coordination and execution engine for chemical-inspired coordination laws.
27 27  ----
28 -#pubATVblock("BiochemicaltuplespaceSac10")
29 -This paper introduces a model of service self-composition based on the use of ecological laws, which are specified by relying on the biochemical tuple space model. The paper shows how service lifetime can be completely managed in a self-organizing way as regards both survival/extinction and composition with other services.
30 -----
31 -#pubATVblock("SemCoordSac2010")
32 -This paper show how to empower a tuple space model with semantic techniques by equipping tuple spaces with the ontological description of the coordination
33 -domain and by describing tuples as domain individuals described in terms of the ontology.
34 -In particular, the paper shows how such a model is very useful to address distributed and open scenarios.
35 -The model was implemented in the coordination infrastructure TuCSoN.
36 -----
37 37  
38 -
39 -
40 -
41 -#pubATVblock("MorphoEngBook13")
42 -The paper presents a computational model for capturing scenarios of spatial self-organisation.
43 -In particular it deals with the spatial pattern of gene expression generated in multicellular organisms during morphogenesis.
44 -I believe it can be of interest in the description of a possible model able to reproduce such a complex phenomenon, in the results obtained with the model of a particular organism (Drosophila Melanogaster) and in the considerations proposed for the use of morphogenetic mechanisms in the generation of artificial systems with similar behaviour.
45 -----
46 -#pubATVblock("SelforgcoordKer25years")
47 -Here we discuss the potential of coordination models and languages as the sources for the abstractions and the technologies around which complex computational systems -- like intelligent, knowledge-intensive, pervasive, self-organising systems -- can be designed and built.
48 -