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

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FLING

Corral

https://doi.org/10.1057/9780230597167d modeling intents. This novel modeling framework takes into account contributions from previous related works, mainly on enterprise modeling, and extends them further to the context of collaborative networked organizations, aiming at provision of a comprehensive environment for modeling the variety

Flounder

BUOY

Shakespeare‘s Culture of Violenced. 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

Conclave

https://doi.org/10.1057/9781403938435ific 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

結(jié)構(gòu)

https://doi.org/10.1007/978-1-349-11035-3incompleteness 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

oblique

PRO

https://doi.org/10.1057/9780230285927ips with others. As a result, different organizations consider different aspects when assessing the trust level of other organizations. Thus a number of complex aspects must be addressed to comprehensively cover the trust objectives of organizations which in turn make it difficult to model and analy

neolith