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13	13	----
14	14	#pubATVblock("CollectivesortScp74")
15	15	This article presents a comprehensive description of an ant-based, self-organizing algorithms for data aggregation in networks of distributed tuple spaces, showing that data can emergently achieve a cluster-based spatial organization depending on the shape of the carried information.
16		-
	16	+----
	17	+#pubATVblock("SelforgcoordSac09")
	18	+This paper provides a definition of self-organizing coordination, intended as the way of managing interactions in software system by relying on self-organizing metaphors. The key features of self-organizing coordination are also introduced and described and a series of examples of systems relying on self-organizing coordination approaches presented.
	19	+----
	20	+#pubATVblock("EcoservicesIns180")
	21	+We believe this paper is currently the one which most clearly states the requirements and objectives of pervasive service ecosystems. It also sketches a chemical-inspired approach to eco-laws construction, where chemical concentration is used to manage a service "activity value", promoting some ecological patterns of behaviour.
	22	+----
	23	+#pubATVblock("ChemcoordSoarbook")
	24	+This paper motivates the use of a model of chemical tuple spaces for the coordination of situated, adaptive, and diversity-accommodating pervasive systems.
	25	+Moreover it is outlined a incarnation of that model on the TuCSoN coordination infrastructure, which can be suitably enhanced with modules supporting
	26	+semantic coordination and execution engine for chemical-inspired coordination laws.
	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	+#pubATVblock("MorphoEngBook13")
	38	+The paper presents a computational model for capturing scenarios of spatial self-organisation.
	39	+In particular it deals with the spatial pattern of gene expression generated in multicellular organisms during morphogenesis.
	40	+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.
	41	+----
	42	+#pubATVblock("SelforgcoordKer25years")
	43	+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.
	44	+----
	45	+#pubATVblock("FuzzycoordSac11")
	46	+The paper shows an extension of semantic tuple spaces with fuzzy techniques in order to also represent vague/fuzzy knowledge so often required by real-world application scenarios.
	47	+In particular in this paper it is extended the model of Description Logic tuple spaces with fuzziness in order to support fuzzy semantic coordination.
	48	+----
	49	+#pubATVblock("SpatialTaas10")
	50	+This paper motivates the use of a model of chemical tuple spaces for the coordination of pervasive service ecosystems. A case study of adaptive pervasive displays is used to show patterns of service competition, and of creation of computational fields based on chemical diffusion.