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Science China(Information Sciences) 2013年第8期56卷 119-136页

作者： ZHANG Wei YI Li ZHAO HaiYan JIN Zhi Key Laboratory of High Confidence Software Technologies(Peking University) Ministry of Education Software Institute School of Electronics Engineering and Computer SciencePeking University

Compared with traditional software applications,the requirements problem of Internetware applications exhibits a set of new characteristics that cannot be resolved by traditional engineer-centered face-to-face requirements methods.In this paper,we present an exploratory approach to the requirements elicitation and evolution problem of Internetware applications,based on the concept of web-enable collective intelligence,to accommodate the situation of large-scale user communities of Internetware applications with diverse and constantly evolving requirements.In particular,we propose a feature-oriented stigmergy-based collaborative requirements modeling method that combines feature-oriented requirements modeling with web-enabled stigmergy-based collaboration to support large-scale collaborative requirements eliciting and evolving activities for Internetware applications.Two experiments are introduced to show the feasibility and effectiveness of this approach.

关键词： requirements modelling feature model Internetware stigmergy collective intelligence

The Use of collective intelligence in Librarial Recommendation

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The Use of Collective Intelligence in Librarial Recommendati...

A Novel Recommendation System With collective intelligence

2011 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS 2011)

作者： Wei-heng Zhu 2E1Dmeeprgaertnmcyen Tt eocfh Cnoolmogpyu tRere Ssecaiercnhc eC eJniNtearn o Uf Rniivsker Esivtya luation and Prewarning on Public Network Security Guangdong Guangzhou 510632 China Shun Long 2E1Dmeeprgaertnmcyen Tt eocfh Cnoolmogpyu tRere Ssecaiercnhc eC eJniNtearn o Uf Rniivsker Esivtya luation and Prewarning on Public Network Security Guangdong Guangzhou 510632 China

Modern libraries are expected to provide users with comprehensive book recommendation not only to the best of their reading interests but also for further reading.We presents in this paper a novel approach for libraries to provide this service based on collective intelligence collected from online bookshops.To the best of our knowledge, no library has adopted similar techniques to serve their users.Preliminary experimental results show that our approach outperforms existing book recommendation provided by those online bookshops.

关键词： collective intelligence librarial recommendation BookRank customized service

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A Novel Recommendation System With Collective Intelligence

Massive self-organized shape formation in grid environments

2010 IEEE 2nd Symposium on Web Society

作者： ~(#1)Jia Zhou,~(#2)Tiejian Luo,~(*3)Haixiang Lin # School of Information Science and Engineering Graduate University of Chinese Academy of Sciences Beijing,China * Delft University of Technology,the Netherlands

＜正＞Academic resources on web include courses, educational videos,scientific literatures,experts,peers and all of the useful stuff for research.It is crucial for researchers especially freshman to access and control the academic resources when they start and conduct a research subject.This paper proposes a recommendation system suggests high-quality materials to users according to their research interest.The system makes use of an ontology which is created by domain experts to define the categories of the entire research subjects. The materials of each category are recommended by domain experts and users which are called collective intelligence.And the recommended academic resources list（RARL） is updated adaptively with the operation of the system.Based on the results of user intention detection the system assign each user to the corresponding categories and the user gets his recommendation based on the content in RARL.In the proposed system there are 15,000 education videos,123GB related materials of 917 courses and 30,000 web pages.The experimental tests show that the system performance is well:the performance is not getting worse when there are more web pages.

关键词： Academics Ontology Recommended Academic Resources List（RARL） Recommendation System collective intelligence Adaptive User Intention Detection

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Science China(Information Sciences) 2022年第6期65卷 256-257页

作者： Wenjie CHU Wei ZHANG Haiyan ZHAO Zhi JIN Hong MEI School of Computer Science Peking University Key Lab of High Confidence Software Technologies (Peking University) Ministry of Education Key Lab of High Confidence Software Technologies P(eking University) Ministry of Education

Self-organized shape formation can be observed in many natural processes [1, 2], involving crystallization, multi-cellular organism formation, and social insects collaboration. In these natural processes, complex stru... 详细信息

关键词： Shape Formation Self-Organization Artificial Light Field Multi-Agent Path Planning collective intelligence

Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments

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Frontiers of Information Technology & Electronic Engineering 2020年第5期21卷 796-808页

作者： Yan SHAO Zhi-feng ZHAO Rong-peng LI Yu-geng ZHOU College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310027China Zhejiang Lab Hangzhou 311121China Institute of Wanfeng Jinyuan Holding Group Co. Ltd.Shaoxing 312000China

Coordinating multiple unmanned aerial vehicles(multi-UAVs)is a challenging technique in highly dynamic and sophisticated environments.Based on digital pheromones as well as current mainstream unmanned system controlling algorithms,we propose a strategy for multi-UAVs to acquire targets with limited prior knowledge.In particular,we put forward a more reasonable and effective pheromone update mechanism,by improving digital pheromone fusion algorithms for different semantic pheromones and planning individuals’probabilistic behavioral decision-making schemes.Also,inspired by the flocking model in nature,considering the limitations of some individuals in perception and communication,we design a navigation algorithm model on top of Olfati-Saber’s algorithm for flocking control,by further replacing the pheromone scalar to a vector.Simulation results show that the proposed algorithm can yield superior performance in terms of coverage,detection and revisit efficiency,and the capability of obstacle avoidance.

关键词： collective intelligence Digital pheromones Artificial potential field Navigation algorithm

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Hybrid Predictive Ensembles:Synergies Between Human and Computational Forecasts

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Journal of Social Computing 2021年第2期2卷 89-102页

作者： Lu Hong PJ Lamberson Scott E Page Department of Finance Loyola University ChicagoChicagoIL 606002USA Department of Communication University of California at Los Angeles(UCLA)Los AngelesCA 90095USA School University of MichiganAnn ArborMI 48104USA

An increasing proportion of decisions,design choices,and predictions are being made by hybrid groups consisting of humans and artificial intelligence(AI).In this paper,we provide analytic foundations that explain the potential benefits of hybrid groups on predictive tasks,the primary use of AI.Our analysis relies on interpretive and generative signal frameworks as well as a distinction between the big data used by AI and the thick,often narrative data used by humans.We derive several conditions on accuracy and correlation necessary for humans to remain in the loop.We conclude that human adaptability along with the potential for atypical cases that mislead AI will likely mean that humans always add value on predictive tasks.

关键词： collective intelligence predictive models hybrid groups big data thick data

云计算中的群体智能与不确定性知识表示(英文)

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China Communications 2011年第6期8卷 58-66页

作者：刘玉超张海粟马于涛李德毅陈桂生 Department of Computer Science and Technology Tsinghua University lnstitute of Electronic System Engineering College of Command Automation PLA University of Science and Technology State Key Lab of Software Engineering Wuhan University

The lasting evolution of computing environment, software engineering and interaction methods leads to cloud computing. Cloud computing changes the configuration mode of resources on the Internet and all kinds of resources are virtualized and provided as services. Mass participation and online interaction with social annotations become usual in human daily life. People who own similar interests on the Internet may cluster naturally into scalable and boundless communities and collective intelligence will emerge. Human is taken as an intelligent computing factor, and uncertainty becomes a basic property in cloud computing. Virtualization, soft computing and granular computing will become essential features of cloud computing. Compared with the engineering technological problems of IaaS (Infrastructure as a service), PaaS (Platform as a Service) and SaaS (Software as a Service), collective intelligence and uncertain knowledge representation will be more important frontiers in cloud computing for researchers within the community of intelligence science.

关键词： collective intelligence social annotation common sense uncertain knowledge representation

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突发公共卫生事件舆情环境下的群体智慧涌现研究

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图书馆学情报学 2022年第7期

作者：安宁安璐

本研究提出一种从突发公共卫生事件的舆情信息中提取群体智慧的方法，揭示了突发公共卫生事件舆情环境下群体智慧涌现的模式与规律。以群体免疫相关话题为例，利用依存分析的关系抽取(Relation Extraction with Dependency Parsing，RE... 详细信息

本研究提出一种从突发公共卫生事件的舆情信息中提取群体智慧的方法，揭示了突发公共卫生事件舆情环境下群体智慧涌现的模式与规律。以群体免疫相关话题为例，利用依存分析的关系抽取(Relation Extraction with Dependency Parsing，REDP)方法提取微博、评论含有的三元组，以结构化表示突发公共卫生事件舆情环境下公众的知识条目，基于舆情知识三元组、网络拓扑结构挖掘突发公共卫生事件舆情环境下的群体智慧涌现模式与规律。研究结果表明，本研究所提出的方法能够从突发公共卫生事件舆情中提取群体智慧，同时发现，随着突发事件的演变，舆情的热度和群体智慧并不是线性平稳增加的，涌现存在临界现象和跳跃式前进的特征。舆情知识网络具有小世界、无标度网络结构，群体智慧主要集中于微博信息中，具有动态属性。

关键词：舆情信息突发公共卫生事件群体智慧知识涌现　　Public opinion Public health emergencies collective intelligence Knowledge emergence

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网上创新竞争研究综述

创新政策与管理

A Wiki-based English-to-Chinese Scientific Nomenclature Dictionary

创新政策与管理 2011年第7期 82-88页

作者：郑海超侯文华

作为新的开放式创新模式，网上创新竞争受到业界和学术界越来越多的关注，目前该领域的研究处于初步阶段。为深化该领域的研究，首先分析网上创新竞争对开放式创新的意义及中国网上创新竞争发展现状，然后从现金奖励、解答者行为和解答... 详细信息

作为新的开放式创新模式，网上创新竞争受到业界和学术界越来越多的关注，目前该领域的研究处于初步阶段。为深化该领域的研究，首先分析网上创新竞争对开放式创新的意义及中国网上创新竞争发展现状，然后从现金奖励、解答者行为和解答者集体智慧三个方面分析研究现状，最后在总结当前研究进展的基础上提出四个需要深入研究的话题。

关键词：网上创新竞争威客开放式创新现金激励解答者行为集体智慧 online innovation contest witkey open innovation monetary incentive solvers' behavior collective intelligence

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A Wiki-based English-to-Chinese Scientific Nomenclature Dict...