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

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發(fā)表于 2025-3-21 17:27:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Collaborative Networks:Reference Modeling
編輯Luis M. Camarinha-Matos,Hamideh Afsarmanesh
視頻videohttp://file.papertrans.cn/230/229462/229462.mp4
概述Establishes a theoretical foundation for Collaborative Networks.Emphasis on modeling multiple facets of collaborative networks.Valuable reference for researchers and practitioners alike.Includes suppl
圖書封面Titlebook: Collaborative Networks:Reference Modeling;  Luis M. Camarinha-Matos,Hamideh Afsarmanesh Book 2008 Springer-Verlag US 2008 Motivation.networ
描述.Collaborative Networks: Reference Modeling. works to establish a theoretical foundation for Collaborative Networks. Particular emphasis is put on modeling multiple facets of collaborative networks and establishing a comprehensive modeling framework that captures and structures diverse perspectives of these complex entities. Further, this book introduces a contribution to the definition of reference models for Collaborative Networks...Collaborative Networks: Reference Modeling. provides valuable elements for researchers, PhD students, engineers, managers, and leading practitioners interested in collaborative systems and networked society..
出版日期Book 2008
關(guān)鍵詞Motivation; networks; organization; organizations; performance; society; virtual organization
版次1
doihttps://doi.org/10.1007/978-0-387-79426-6
isbn_softcover978-1-4419-4638-6
isbn_ebook978-0-387-79426-6
copyrightSpringer-Verlag US 2008
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:10:12 | 只看該作者
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.
板凳
發(fā)表于 2025-3-22 02:47:58 | 只看該作者
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
地板
發(fā)表于 2025-3-22 06:25:21 | 只看該作者
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.
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發(fā)表于 2025-3-22 09:43:52 | 只看該作者
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發(fā)表于 2025-3-22 16:44:54 | 只看該作者
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.
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發(fā)表于 2025-3-22 20:48:21 | 只看該作者
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
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發(fā)表于 2025-3-23 00:12:28 | 只看該作者
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
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發(fā)表于 2025-3-23 03:42:13 | 只看該作者
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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發(fā)表于 2025-3-23 08:22:18 | 只看該作者
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