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Titlebook: Creativity and Innovation; Cognitive, Social, a Simona Doboli,Jared B. Kenworthy,Paul B. Paulus Book 2021 The Editor(s) (if applicable) and

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发表于 2025-3-21 17:57:18 | 显示全部楼层 |阅读模式
书目名称Creativity and Innovation
副标题Cognitive, Social, a
编辑Simona Doboli,Jared B. Kenworthy,Paul B. Paulus
视频videohttp://file.papertrans.cn/240/239566/239566.mp4
概述Covers the process of innovation at a range of scales, from individual minds/brains through small groups to large social networks.Presents a unified network-based framework for innovation and creativi
丛书名称Understanding Complex Systems
图书封面Titlebook: Creativity and Innovation; Cognitive, Social, a Simona Doboli,Jared B. Kenworthy,Paul B. Paulus Book 2021 The Editor(s) (if applicable) and
描述This book focuses on the emergence of creative ideas from cognitive and social dynamics. In particular, it presents data, models, and analytical methods grounded in a network dynamics approach. It has long been hypothesized that innovation arises from a recombination of older ideas and concepts, but this has been studied primarily at an abstract level. In this book, we consider the networks underlying innovation – from the brain networks supporting semantic cognition to human networks such as brainstorming groups or individuals interacting through social networks – and relate the emergence of ideas to the structure and dynamics of these networks. Methods described include experimental studies with human participants, mathematical evaluation of novelty from group brainstorming experiments, neurodynamical modeling of conceptual combination, and multi-agent modeling of collective creativity. The main distinctive features of this book are the breadth of perspectives considered, the integration of experiments with theory, and a focus on the combinatorial emergence of ideas..
出版日期Book 2021
关键词Cognitive Models of Creativity; Collaboration Networks; Complex Systems Creativity; Emergence of Innova
版次1
doihttps://doi.org/10.1007/978-3-030-77198-0
isbn_ebook978-3-030-77198-0Series ISSN 1860-0832 Series E-ISSN 1860-0840
issn_series 1860-0832
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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发表于 2025-3-21 20:36:55 | 显示全部楼层
Research Findings on Ideational Creativity in Groups,tions, brief breaks, challenging goals, and focusing on one issue at a time can enhance group performance. Task-relevant diversity in group composition and some degree of training in effective group processes also enhance the performance of idea generation groups. Alternation of group and solitary idea generation sessions can also be beneficial.
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Zur Geschichte der Wirtschaftsinformatik, designed to deal with different aspects of the group creativity process and related experimental data and computational models. Subsequent models that focused on social influence processes and their integration with cognitive processes and some of the major models by other scholars are also presented.
发表于 2025-3-22 09:43:09 | 显示全部楼层
Zur Geschichte der Wirtschaftsinformatik,tions, brief breaks, challenging goals, and focusing on one issue at a time can enhance group performance. Task-relevant diversity in group composition and some degree of training in effective group processes also enhance the performance of idea generation groups. Alternation of group and solitary idea generation sessions can also be beneficial.
发表于 2025-3-22 15:33:54 | 显示全部楼层
search literature and present a model of the various factors that influence the links between the divergent and convergent phases. We describe the development and potential implementation of computer-based feedback system that may enhance the linkage between the quality of the divergent and convergent processes.
发表于 2025-3-22 19:24:11 | 显示全部楼层
itly at models of collective creativity from small groups to large social networks. Finally, it points to some recent developments in machine learning that are relevant to computational creativity and are influencing the modes of human creativity.
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Book 2021ds grounded in a network dynamics approach. It has long been hypothesized that innovation arises from a recombination of older ideas and concepts, but this has been studied primarily at an abstract level. In this book, we consider the networks underlying innovation – from the brain networks supporti
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