Titlebook: Collaborative Networks:Reference Modeling; Luis M. Camarinha-Matos,Hamideh Afsarmanesh Book 2008 Springer-Verlag US 2008 Motivation.networ

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Prologue

Motivation for a theoretical foundation for collaborative networksave suffered from ad-hoc approaches, being urgent to establish a proper theoretical foundation for the area. Furthermore, the fast developments in the area and the nature of the paradigm configure the emergence of a new discipline, which needs to be built on a sounder theoretical basis.

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Related work on reference modeling for collaborative networksdels and their approaches constitute a background for development of reference models for collaborative networks. A brief survey of work on modeling the enterprises, enterprise architectures, and early contributions to reference models of virtual enterprises is provided. Finally an identification of

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Overviewunication among researchers and practitioners involved in the area, and thus contributing to its smooth development and evolution. This section offers a contribution to the elaboration of a comprehensive reference model for CNs.

Sputum

craven

ARCON reference models for collaborative networks perspectives of collaborative networks, are collected and defined. Such collection represents a first proposal for a reference model for collaborative networks. The establishment of a recognized reference model is certainly a long-term activity of which this work represents a first step.

craven

A comprehensive semantic indexing schema for ARCONd. This chapter introduces an approach for comprehensive and semantic “indexing” of both meta-elements, e.g. the Componential dimension of the Endogenous sub-space of ARCON’s reference modeling framework, and each individual element, e.g. the specific resource or market strategy belonging to the ARC

DEFT

Overviewific and engineering activity. As such, many disciplines and research fields have developed a large portfolio of modeling theories, approaches, and tools, some of which can be potentially applied in the area of collaborative networks..This section includes an analysis of the most promising contribut

樹膠

A survey of soft modeling approaches for collaborative networksincompleteness of information. Soft modeling approaches are specifically developed to handle such cases and thus have a high potential to the establishment of more effective and close to reality models. Computational intelligence methods are complemented with other approaches such as qualitative rea

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