APF方法在船舶自动避碰中的应用

提出一种改进的人工势场(Artificial Potential Field,APF)方法,将船舶的速度和操纵特性引入到模型的引力和斥力函数中,用于实现船舶自动避碰.讨论APF中的局部最小点问题,并提出解决方法.     

博弈树搜索算法的分析与实现

α-β剪枝算法是博弈树搜索算法中成熟而重要的一枝。本文给出其各种改进策略及实现技术,并给出实验结果分析。B*算法是α-β剪枝算法的挑战者,它给我们以新的视角看待博弈树搜索,并能克服α-β剪枝算法的一些缺陷。     

Artificial intelligence for decision making in the era of Big Data – evolution,challenges and research agenda

Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation.     

Considerations for development and use of AI in response to COVID-19

Artificial intelligence (AI) is playing a key supporting role in the fight against COVID-19 and perhaps will contribute to solutions quicker than we would otherwise achieve in many fields and applications. Since the outbreak of the pandemic, there has been an upsurge in the exploration and use of AI, and other data analytic tools, in a multitude of areas. This paper addresses some of the many considerations for managing the development and deployment of AI applications, including planning; unpredictable, unexpected, or biased results; repurposing; the importance of data; and diversity in AI team membership. We provide implications for research and for practice, according to each of the considerations. Finally we conclude that we need to plan and carefully consider the issues associated with the development and use of AI as we look for quick solutions.     

Information technology solutions,challenges, and suggestions for tackling the COVID-19 pandemic

Various technology innovations and applications have been developed to fight the coronavirus pandemic. The pandemic also has implications for the design, development, and use of technologies. There is an urgent need for a greater understanding of what roles information systems and technology researchers can play in this global pandemic. This paper examines emerging technologies used to mitigate the threats of COVID-19 and relevant challenges related to technology design, development, and use. It also provides insights and suggestions into how information systems and technology scholars can help fight the COVID-19 pandemic. This paper helps promote future research and technology development to produce better solutions for tackling the COVID-19 pandemic and future pandemics.     

Public and private value creation using artificial intelligence: An empirical study of AI voice robot users in Chinese public sector

Despite significant theoretical and empirical attention on public value creation in the public sector, the relationship between artificial intelligence (AI) use and value creation from the citizen perspective remains poorly understood. We ground our study in Moore’s public value management to examine the relationship between AI use and value creation. We conceptually categorize public service value into public value and private value. We use procedural justice and trust in government as indicators of public value and, based on motivation theory, we use perceived usefulness and perceived enjoyment as indicators of private value. A field survey of 492 AI voice robot users in China was conducted to test our model. The results indicated that the effective use of AI voice robots was significantly associated with private value and procedural justice. However, the relationship between the effective use of AI and trust in government was not found to be significant. Surprisingly, the respondents indicated that private value had a greater effect on overall value creation than public value. This contrasts with the common idea that value creation from the government perspective suggests that social objectives requiring public value are more important to citizens. The results also show that gender and citizens with different experiences show different AI usage behaviors.     

人工运动环境与运动工效

本文着重揭示了人工运动环境因素中色彩、照明、噪音和音乐,大气污染对人体运动工效的影响,并进一步提出开发改善人工运动环境将会有效地提高运动训练和比赛的效应。旨在供训练竞赛参考。     

人脸识别技术在图书馆的应用现状与策略分析

人脸识别技术具有诸多优势,可提升图书馆的管理与服务水平,已广泛应用于很多领域,而且在图书馆的应用已取得了一些成效,证明其应用于图书馆具有可行性。当前图书馆主要在刷脸入馆、刷脸借书、刷脸办证、座位预约、存包管理5个方面应用人脸识别技术。应通过提升用户的配合度、保障与已有业务的融合度、保护用户隐私、完善运行保障机制等策略来推动人脸识别技术在图书馆的应用。     

马克思主义视域下的人工智能技术异化现象探析

当技术产生异化就会转化成一种外在的、异己的、敌对的力量,危害社会,反制人类。运用马克思技术异化理论分析当代人工智能,从人与社会两个维度出发,发现其技术异化的实质,推断未来发展趋势,发展其利,规避其害,对人类未来发展意义重大。     

Reality Check: Basics of Augmented,Virtual, and Mixed Reality

Augmented, virtual, and mixed reality applications all aim to enhance a user’s current experience or reality. While variations of this technology are not new, within the last few years there has been a significant increase in the number of artificial reality devices or applications available to the general public. This column will explain the difference between augmented, virtual, and mixed reality and how each application might be useful in libraries. It will also provide an overview of the concerns surrounding these different reality applications and describe how and where they are currently being used.