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Fostering artificial societies using social learning and social control in parallel emergency management systems

Frontiers of Computer Science 2012年第5期6卷 604-610页

作者： Wei DUAN Xiaogang QIU Research Center of Military Computational Experiments and Parallel Systems Technology College of Mechatronics Engineering and AutomationNational University of Defense TechnologyChangsha 410073China

How can we foster and grow artificial societies so as to cause social properties to emerge that are logical, consistent with real societies, and are expected by design- ers？ We propose a framework for fostering artificial soci- eties using social learning mechanisms and social control ap- proaches. We present the application of fostering artificial so- cieties in parallel emergency management systems. Then we discuss social learning mechanisms in artificial societies, in- cluding observational learning, reinforcement learning, imi- tation learning, and advice-based learning. Furthermore, we discuss social control approaches, including social norms, social policies, social reputations, social commitments, and sanctions.

关键词： artificial societies social computing social learning social control agent-based simulation

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A high efficient incremental microblog crawler: design and implementation

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Journal of Information and computational Science 2013年第6期10卷 1731-1747页

作者： Shen, Dayong Wang, Hui Jiang, Zhihong Cao, Jianping The Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology Changsha 410073 China

With the rapid development of microblog technology, many interesting research issues in microblog have aroused growing attention. Fetching data from microblog is the groundwork of these researches. In this paper we propose a flexible multithreading microblog crawling architecture based on the classic multiproducers and multi-consumers model, and further implement a high efficient incremental microblog crawler towards Sina Microblog (also called Weibo). The designed crawler can solve the vertical crawling, dynamic webpage and automatic loginning problems which can't be solved by the general crawler. Meanwhile it can achieve high-precision structured webdata extraction. Some measurements are designed to evaluate the crawling performance. Experimental results demonstrate that the crawler can achieve over 95% coverage and a good freshness. Copyright © 2013 Binary Information Press.

关键词： Extraction

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On social computing research collaboration patterns： a social network perspective

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Frontiers of Computer Science 2012年第1期6卷 122-130页

作者： Tao WANG Qingpeng ZHANG Zhong LIU Wenli LIU Ding WEN Science and Technology on Information Systems Engineering Lab College of Information Systems and ManagementNational University of Defense and TechnologyChangsha 410073China Department of Systems and Industrial Engineering University of ArizonaTucsonAZ 85721USA Military Computational Experiments and Parallel Systems Research Center National University of Defense and TechnologyChangsha 410073China

The field of social computing emerged more than ten years ago. During the last decade, researchers from a vari- ety of disciplines have been closely collaborating to boost the growth of social computing research. This paper aims at iden- tifying key researchers and institutions, and examining the collaboration patterns in the field. We employ co-authorship network analysis at different levels to study the bibliographic information of 6 543 publications in social computing from 1998 to 2011. This paper gives a snapshot of the current re- search in social computing and can provide an initial guid- ance to new researchers in social computing.

关键词： social computing bibliographic analysis com-putational social science social network analysis

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Agent-based simulations: Designing interior layout of an emporium for emergency evacuation

Agent-based simulations: Designing interior layout of an emp...

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2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Duan, Wei Fan, Zhongcheng Meng, Rongqing Qiu, Xiaogang Research Center of Military Computational Experiments and Parallel Systems Technology College of Mechatronics Engineering and Automation National University of Defense Technology Changsha China

ISBN: (纸本)9781479916603

We use agent-based simulations to study emergency evacuation in buildings, and design the interior layout of buildings. We build an abstract scene for the first floor of an emporium in Changsha city in China. The scene includes eight rooms and various objects. We build grid-based environmental models and heterogeneous agent models. Then we conduct simulation experiments to evaluate the performance of two scenes for emergency evacuation, initial scene and optimized scene. Through statistic analysis, we conclude that optimized scene performs better for emergency evacuation than initial scene. © 2013 IEEE.

关键词： Risk management

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research on Information Structure of Programmatic Advertising Markets

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IFAC-PapersOnLine 2017年第1期50卷 13587-13592页

作者： Li, Juanjuan Yuan, Yong Zhao, Xueliang Wang, Fei-Yue The State Key Laboratory of Management Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Beijing Qingdao China Research Center of Military Computational Experiments and Parallel Systems National University of Defense Technology Changsha China

With the abundance of online big data and computing resources, as well as the rapid develop-ment and diversification of business models, programmatic advertising (PA) has emerged and become the mainstream and one of the most promising advertising channels in recent years. As an effective way to precision marketing, PA relies heavily on the information elicited from analyzing Web users and pages, which can help advertisers precisely identify their best-matched audiences and evaluate the ad impressions in a real-time fashion In PA markets, publishers serve as the supplier of ad impressions, and have control on whether, what and how to reveal such key information to advertisers. These decisions play a central role in the information structure of data-driven PA markets, and attract intensive research interests. In this paper, we strive to investigate publishers’ rational preference over the symmetric and asymmetric information structures, with the aim of maximizing their revenues. Our model views publishers’ revenue as a function of the information structure among advertisers, and we hereby proved its convexity under an incentive compatible mechanism. This conclusion indicates that publishers prefer an asymmetric information structure rather than a symmetric one. Our research findings can help improve publishers’ revenue, and also can explain the underlying rationale for the hybrid PA markets mixed by public real-time bidding and private marketplaces. © 2017

关键词： Commerce Big data Marketing Advertising markets Asymmetric information Computing resource Incentive compatible mechanisms Information structures Precision marketings private marketplace Real time biddings

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research on Social Marketing Strategies with An Agent-based Propagation Model

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IFAC-PapersOnLine 2017年第1期50卷 13581-13586页

作者： Zeng, Shuai Li, Juanjuan Ni, Xiaochun Yuan, Yong Wang, Fei-Yue The State Key Lab of Management Control for Complex Systems Institute of Automation Chinese Academy of Sciences China Qingdao Academy of Intelligent Industries BeijingShandong China Research Center of Military Computational Experiments and Parallel Systems National University of Defense Technology Changsha China

Considering the increasing complexity of social networks and user behaviors, it is very challenging for advertisers to formulate their strategies of selecting proper initial seed users in their social marketing efforts. In this paper, we tackle this challenge by proposing an agent-based propagation model and injecting it into typical social networks with three types of structures, i.e., Erds-Rényi random graph, Watt-Strogatz small world graph, and Barabási-Albert scale-free graph. We instantiate this agent-based model with demographic characteristics extracted from real-world census data collected in China. By investigating the diffusion process of advertising information in these social networks, we can analyze and compare the performance of advertisers’ targeting and influencer strategies. Our experimental results indicate that advertisers adopting influencer strategies should manipulate the initial well-connected seeds to deliver information only to the potential customers instead of a wide range of generic users. © 2017

关键词： Marketing Autonomous agents Behavioral research Commerce computational methods Population statistics Agent based model Demographic characteristics Information diffusion Potential customers Propagation modeling Seeding strategies Small world graphs Social marketings

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Determination of Polynomial Degree in the Regression of Drug Combinations

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 41-47页

作者： Boqian Wang Xianting Ding Fei-Yue Wang School of Biomedical Engineering Shanghai Jiao Tong University IEEE State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems National University of Defense Technology

Studies on drug combinations are becoming more and more popular in the past few decades, with the development of computer and algorithms. One of the most common methods in optimizing drug combinations is regression of a polynomial model based on certain number of experimental observations. In this paper, we study how to determine the degree of polynomials in different circumstances of drug combination optimization. Using cross-validation, we have found that in most cases, a high degree results in failures of accurate prediction, named overfitting. An anti-noise test has also revealed that polynomial model with high degree tends to be less resistant to random errors in the observations. © 2014 Chinese Association of Automation.

关键词： Acoustics Random errors Regression analysis

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IEEE International Conference on Intelligence and Security Informatics

作者： Gao, Chao Zhang, Xin Zheng, Liang Wang, Hui Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology China

ISBN: (纸本)9781457700828

Social multimedia content had an unprecedented increasing trend in recent years, and receiving a number of research attentions. Images, an exceedingly expressive form of social multimedia, can be widely seen in news report for social emergency. Among the vast number of images for social emergency are many repurposed images, that is, variants not interpreted as what the original images express. Such repurposed images appear in many online pages and may mislead the public. This make it being an interesting and challenging task to identify whether an image is repurposed. We propose a novel framework, called SOFC, to identify the repurposed images. A SIFT-based identical parts finding algorithm is used to find and align all potential identical blocks in the repurposed images and the original images. We then compute the similarity of the potential identical blocks by implementing an object-based likelihood measuring algorithm, to determine whether these blocks are identical in the two images. Finally, the effectiveness of the proposed identification method is validated by experiments on a image set of real social emergency. © 2011 IEEE.

关键词： Bismuth Image resolution Object recognition SIFT based identical parts finding algorithm SOFC feature extraction image similarity multimedia computing multimedia social computing object based likelihood measuring algorithm repurposed images social emergen

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Measurement and analysis of topology and information propagation on Sina-Microblog

Measurement and analysis of topology and information propaga...

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IEEE International Conference on Intelligence and Security Informatics

作者： Fan, Pengyi Li, Pei Jiang, Zhihong Li, Wei Wang, Hui Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology China

ISBN: (纸本)9781457700828

Sina-Microblog, the earliest and biggest microblogging service in China, has become one of the most popular media in information propagation. In order to gain insights into the topological and information diffusing characteristics of microblogging network in China, we crawled Sina-Microblog for about 3 months and obtain the trace of its topology and topics. Compared with other online social networks, our measurement study shows a number of interesting findings. Our data suggests that Sina-Microblog network has apparent small-world effect and scale-free characteristic, specially, the outdegree distribution appears to have multiple separate power-law regimes with different exponents. We also observe the overlay graph of Sina-Microblog represents assortative mixing pattern and weak correlation of indegree and outdegree. Moreover, by constructing the cascades of different topics, our data suggests that the distribution of cascades size follows a power-law and heavy-tailed property with the slope approximately 2, and the common motifs of cascades with different topics are very similar, above 93% of them are isolated nodes. In order to find the formative motivity of hot cascades, we find that they always evolve to the structures like star pattern and two-polar pattern, which are mainly due to the indegree of participating nodes, and are also correlated with the content of tweet. © 2011 IEEE.

关键词： Topology

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Control 5.0: From Newton to Merton in Popper's Cyber-Social-Physical Spaces

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IEEE/CAA Journal of Automatica Sinica 2016年第3期3卷 233-234页

作者： Fei-Yue Wang IEEE State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology

The future of control in cyberspace of parallel worlds is discussed. It argues for the coming age of Control 5.0,the control technology for the new IT capable of dealing with artificial worlds with VR, AR, AI and robotics. The discipline of automation needs a new interpretation of its core knowledge and skill set of modeling, analysis, and control for cyber-socialphysical systems, and a paradigm shift from Newtonian systems with Newton's Laws or Big Laws with Small Data to Mertonian systems with Merton's Laws or Small Laws with Big Data.

关键词： Control 5.0 parallel control knowledge automation CPS CSP CPSS Merton Wiener Popper

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