AI for Science的高质量发展对于加快实现高水平科技自立自强、建设世界科技强国具有重要意义。从AI、Science、for三个核心概念出发,探讨如何理解和发展AI for Science。在人机协作形态的历史演进中理解AI,即在感知性协作、肢体性协作...AI for Science的高质量发展对于加快实现高水平科技自立自强、建设世界科技强国具有重要意义。从AI、Science、for三个核心概念出发,探讨如何理解和发展AI for Science。在人机协作形态的历史演进中理解AI,即在感知性协作、肢体性协作、计算性协作到认知性协作的脉络中考察AI在科学研究中的角色。AI不再只是从外部为科研赋能,而是逐步介入科学家的思维过程,在认知层面与科学家建立深度协作。从全过程科研视角分析Science,AI不仅赋能科学知识生产,也推动科技传播的民主化与精准化,助力科研管理与评价的智能化。从技术—社会系统的视角来看,为了更好地释放AI for Science的潜力,应着眼于面向AI for Science的科研生态系统整体建设。未来应从人才培养、科研组织、数据资源、伦理治理等行动领域出发,提升科研人员的AI for Science胜任力、推动跨领域合作、促进高质量数据流通与共享以及加强科技伦理治理。展开更多
为探索民机驾驶舱人机交互典型场景中人为差错发生的认知层面原因,运用人的排队网络信息加工模型(Queuing Network-Model Human Processor, QN-MHP)和人因可靠性方法对空速不可靠场景下的飞行员行为进行仿真研究。首先,通过设计任务及...为探索民机驾驶舱人机交互典型场景中人为差错发生的认知层面原因,运用人的排队网络信息加工模型(Queuing Network-Model Human Processor, QN-MHP)和人因可靠性方法对空速不可靠场景下的飞行员行为进行仿真研究。首先,通过设计任务及场景进行任务建模;然后,对模型中表示各脑区功能服务器的处理时间、处理容量及实体处理路径与差错概率赋值,进行24次仿真模拟;最后,通过设计模拟飞行试验,验证QN-MHP模型在民机驾驶舱人机交互研究中的可行性。结果表明,在空客A320机型空速不可靠处置任务中,飞行员在处置路径上易发生人为差错,在故障的识别、判断等关键节点也有少数差错发生,且任务过程中飞行员眼部利用率较高。研究表明,飞行员过高的用眼负荷是导致驾驶舱人机交互失效的原因之一,在未来驾驶舱人机交互流程设计及飞行训练中应予以重点关注。展开更多
The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experience. In this paper, an intelligent decision support system, IDSS is defined as: any interactive syste...The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experience. In this paper, an intelligent decision support system, IDSS is defined as: any interactive system that is specially designed to improve the decision making of its user by extending the user's cognitive decision making abilities. As a result, this view of man-machine joint cognitive system stresses the need to use computational technology to aid the user in the decision making process. And the human's role is to achieve total systems's objectives. The paper outlines the designing procedure in successive steps. First, the decision maker's cognitive needs for decision support are identified. Second, the computationally realizable support functions are defined that could be provided by IDSS. Then, the specific techniques that would best fill the decision needs are discussed. And finally, for system implementation the modern computational technology infrastructure is emphasized.展开更多
文摘AI for Science的高质量发展对于加快实现高水平科技自立自强、建设世界科技强国具有重要意义。从AI、Science、for三个核心概念出发,探讨如何理解和发展AI for Science。在人机协作形态的历史演进中理解AI,即在感知性协作、肢体性协作、计算性协作到认知性协作的脉络中考察AI在科学研究中的角色。AI不再只是从外部为科研赋能,而是逐步介入科学家的思维过程,在认知层面与科学家建立深度协作。从全过程科研视角分析Science,AI不仅赋能科学知识生产,也推动科技传播的民主化与精准化,助力科研管理与评价的智能化。从技术—社会系统的视角来看,为了更好地释放AI for Science的潜力,应着眼于面向AI for Science的科研生态系统整体建设。未来应从人才培养、科研组织、数据资源、伦理治理等行动领域出发,提升科研人员的AI for Science胜任力、推动跨领域合作、促进高质量数据流通与共享以及加强科技伦理治理。
文摘为探索民机驾驶舱人机交互典型场景中人为差错发生的认知层面原因,运用人的排队网络信息加工模型(Queuing Network-Model Human Processor, QN-MHP)和人因可靠性方法对空速不可靠场景下的飞行员行为进行仿真研究。首先,通过设计任务及场景进行任务建模;然后,对模型中表示各脑区功能服务器的处理时间、处理容量及实体处理路径与差错概率赋值,进行24次仿真模拟;最后,通过设计模拟飞行试验,验证QN-MHP模型在民机驾驶舱人机交互研究中的可行性。结果表明,在空客A320机型空速不可靠处置任务中,飞行员在处置路径上易发生人为差错,在故障的识别、判断等关键节点也有少数差错发生,且任务过程中飞行员眼部利用率较高。研究表明,飞行员过高的用眼负荷是导致驾驶舱人机交互失效的原因之一,在未来驾驶舱人机交互流程设计及飞行训练中应予以重点关注。
文摘The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experience. In this paper, an intelligent decision support system, IDSS is defined as: any interactive system that is specially designed to improve the decision making of its user by extending the user's cognitive decision making abilities. As a result, this view of man-machine joint cognitive system stresses the need to use computational technology to aid the user in the decision making process. And the human's role is to achieve total systems's objectives. The paper outlines the designing procedure in successive steps. First, the decision maker's cognitive needs for decision support are identified. Second, the computationally realizable support functions are defined that could be provided by IDSS. Then, the specific techniques that would best fill the decision needs are discussed. And finally, for system implementation the modern computational technology infrastructure is emphasized.
