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Titlebook: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental ; Jan Treur Book 2020 Springer Nature

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發(fā)表于 2025-3-21 18:30:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental
編輯Jan Treur
視頻videohttp://file.papertrans.cn/663/662910/662910.mp4
概述Provides a generic, unified approach to Network-Oriented Modeling for adaptive individual and social human processes.Addresses the adaptivity of any order by means of (multilevel) reified temporal-cau
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental ;  Jan Treur Book 2020 Springer Nature
描述.This book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior. Networks by themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive networks are networks that change their structure; for example, connections in Mental Networks usually change due to learning, while connections in Social Networks change due to various social dynamics. For adaptive networks, separate procedural specifications are often added for the adaptation process. Accordingly, modelers have to deal with a less transparent, hybrid specification, part of which is often more at a programming level than at a modeling level. ..This book presents an overall Network-Oriented Modeling approach that makes designing adaptive network models much easier, because the adaptation process, too, is modeled in a neat, declarative, and conceptually transparent Network-OrientedModeling manner, like the network itself. Thanks to this approach, no procedural, algorithmic, or programming skills are needed to design complex adaptive network models. A dedicated software environment is ava
出版日期Book 2020
關鍵詞Adaptive Networks; Network-Oriented Modeling; Temporal-Causal Network Models; Adaptation Principles; Hig
版次1
doihttps://doi.org/10.1007/978-3-030-31445-3
isbn_softcover978-3-030-31447-7
isbn_ebook978-3-030-31445-3Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:16:08 | 只看該作者
Jan Treursome implications for vocationalisation. It argues that change from an education-driven to a functional-driven model of skills development within secondary schooling is observed in the Asia-Pacific region. It has been argued that such trends as expansion of the basis for vocationalisation, merging o
板凳
發(fā)表于 2025-3-22 04:21:54 | 只看該作者
some implications for vocationalisation. It argues that change from an education-driven to a functional-driven model of skills development within secondary schooling is observed in the Asia-Pacific region. It has been argued that such trends as expansion of the basis for vocationalisation, merging o
地板
發(fā)表于 2025-3-22 07:17:41 | 只看該作者
Jan Treursome implications for vocationalisation. It argues that change from an education-driven to a functional-driven model of skills development within secondary schooling is observed in the Asia-Pacific region. It has been argued that such trends as expansion of the basis for vocationalisation, merging o
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發(fā)表于 2025-3-22 10:46:36 | 只看該作者
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發(fā)表于 2025-3-22 14:03:04 | 只看該作者
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發(fā)表于 2025-3-22 18:24:25 | 只看該作者
Ins and Outs of Network-Oriented ModelingNetworks, and Social Networks. In this chapter, it is discussed how the interpretation of a network as a causal network and taking into account dynamics in the form of temporal-causal networks, brings more depth. Thus main characteristics for a network structure are obtained: Connectivity in terms o
8#
發(fā)表于 2025-3-22 21:35:52 | 只看該作者
A Unified Approach to Represent Network Adaptation Principles by Network Reification representing the characteristics defining the base network’s structure. This is explained for temporal-causal networks where connection weights, combination functions, and speed factors represent?the characteristics for Connectivity, Aggregation, and Timing?describing the network structure. Having
9#
發(fā)表于 2025-3-23 05:23:07 | 只看該作者
Modeling Higher-Order Network Adaptation by Multilevel Network Reification. In some cases, also higher-order adaptation occurs: the adaptation principles themselves also change over time. To model such multilevel adaptation processes, it is useful to have some generic architecture. Such an architecture should describe and distinguish the dynamics within the network (base
10#
發(fā)表于 2025-3-23 06:43:55 | 只看該作者
A Reified Network Model for Adaptive Decision Making Based on the Disconnect-Reconnect Adaptation Pr how that role can be modelled computationally using a reified adaptive temporal-causal network architecture. The presented network model addresses the so-called disconnect-reconnect adaptation principle. In the first phase of the acute stress suppression of the existing network connections takes pl
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