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

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古文字学

Jan Treur are used by governments to decide on particular vocationalisation policy. The vocationalisation of postsecondary and higher education is analysed through the different levels of debate, and the issue of whether tertiary education is becoming too focused on preparing individual for employment is als

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Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental

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2198-4182 Modeling 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 ava978-3-030-31447-7978-3-030-31445-3Series ISSN 2198-4182 Series E-ISSN 2198-4190

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2198-4182 y of any order by means of (multilevel) reified temporal-cau.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-Orient

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Ins and Outs of Network-Oriented ModelingSocial Network models for social contagion or information diffusion, and Mental Network models for cognitive and affective processes. From the more fundamental side, it will be discussed how emerging network behavior can be related to network structure.

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A Unified Approach to Represent Network Adaptation Principles by Network Reificationective on representing network adaptation principles across different domains. This is illustrated for a number of well-known network adaptation principles such as for Hebbian learning in Mental Networks and for network evolution based on homophily in Social Networks.

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A Reified Network Model for Adaptive Decision Making Based on the Disconnect-Reconnect Adaptation Prace (disconnect), and then in a second phase after some time there is a relaxation of the suppression. This gives room to quickly get rid of old habits that are not applicable anymore in the new stressful situation and start new learning (reconnect) of better decision making, more adapted to this new stress-triggering context.