| 书目名称 | Social Collective Intelligence | | 副标题 | Combining the Powers | | 编辑 | Daniele Miorandi,Vincenzo Maltese,James Stewart | | 视频video | | | 概述 | Features a holistic multidisciplinary perspective on social collective intelligence, including foundational approaches, enabling technologies, and applications/case studies.Contains a taxonomy of rese | | 丛书名称 | Computational Social Sciences | | 图书封面 |  | | 描述 | The book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capabilities with the communication, computing and storage capabilities of advanced ICT..Social Collective Intelligence opens a number of challenges for researchers in both computer science and social sciences; at the same time it provides an innovative approach to solve challenges in diverse application domains, ranging from health to education and organization of work..The book will provide a cohesive and holistic treatment of Social Collective Intelligence, including challenges emerging in various disciplines (computer science, sociology, ethics) and opportunities for innovating in various application areas..By going through the book the reader will gauge insight and knowledge into the challenges and opportunities provided by this new, exciting, field of investigation. Benefits for scientists will be in terms of accessing a comprehensive treatment of the open research challenges in a multidisciplinary perspective. Benefits for practi | | 出版日期 | Book 2014 | | 关键词 | Collective Adaptive Systems; Collective Intelligence; Human Computer Interfaces; Hybrid Social Computat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-08681-1 | | isbn_softcover | 978-3-319-37960-9 | | isbn_ebook | 978-3-319-08681-1Series ISSN 2509-9574 Series E-ISSN 2509-9582 | | issn_series | 2509-9574 | | copyright | Springer International Publishing Switzerland 2014 |
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发表于 2025-3-21 17:54:37
