找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
查看: 40702|回复: 53
发表于 2025-3-21 18:30:49 | 显示全部楼层 |阅读模式
书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental
编辑Jan Treur
视频video
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
丛书名称Studies in Systems, Decision and Control
图书封面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
关键词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

书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 影响因子(影响力)




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 影响因子(影响力)学科排名




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 网络公开度




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 网络公开度学科排名




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 被引频次




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 被引频次学科排名




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 年度引用




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 年度引用学科排名




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 读者反馈




书目名称Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental 读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-22 00:16:08 | 显示全部楼层
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
发表于 2025-3-22 04:21:54 | 显示全部楼层
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
发表于 2025-3-22 07:17:41 | 显示全部楼层
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
发表于 2025-3-22 10:46:36 | 显示全部楼层
发表于 2025-3-22 14:03:04 | 显示全部楼层
发表于 2025-3-22 18:24:25 | 显示全部楼层
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
发表于 2025-3-22 21:35:52 | 显示全部楼层
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
发表于 2025-3-23 05:23:07 | 显示全部楼层
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
发表于 2025-3-23 06:43:55 | 显示全部楼层
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
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-20 12:59
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表