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基于智能空间环境的群体行为建模研究 被引量:6
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作者 李志强 司光亚 +1 位作者 胡晓峰 罗批 《系统仿真学报》 CAS CSCD 北大核心 2008年第S1期195-198,201,共5页
为了能够逼真模拟复杂虚拟环境中大规模群体行为,在国内外相关研究成果基础上提出一种基于分层智能空间环境的群体行为模型建模方法。基本思想是把传统的三维连续地理空间环境分解为一组局部智能空间环境对象,对象中不但存储有约束个体... 为了能够逼真模拟复杂虚拟环境中大规模群体行为,在国内外相关研究成果基础上提出一种基于分层智能空间环境的群体行为模型建模方法。基本思想是把传统的三维连续地理空间环境分解为一组局部智能空间环境对象,对象中不但存储有约束个体行为模型的基本约束信息,同时还储存有不同个体在环境不同区域可执行的行为信息。这样,虚拟环境中的个体可以在其所处的具体环境提供的信息的约束和指导下进行实时行为合成与决策。仿真实验表明,该方法不仅能够逼真的模拟大规模群体在复杂虚拟环境中的各种规范化行为,而且可以有效减少个体决策模型的计算量,提高模型运行效率。 展开更多
关键词 智能空间环境 群体行为 建模仿真
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Heading toward Artificial Intelligence 2.0 被引量:128
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作者 Yunhe Pan 《Engineering》 SCIE EI 2016年第4期409-413,共5页
With the popularization of the Intemet, permeation of sensor networks, emergence of big data, increase in size of the information community, and interlinking and fusion of data and information throughout human society... With the popularization of the Intemet, permeation of sensor networks, emergence of big data, increase in size of the information community, and interlinking and fusion of data and information throughout human society, physical space, and cyberspace, the information environment related to the current development of artificial intelligence (AI) has profoundly changed. AI faces important adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage: AI 2.0. This paper briefly reviews the 60-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0 along with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0 development. Furthermore, based on combined social demands and the information environment that exists in relation to Chinese development, suggestions on the develoDment of Al 2.0 are given. 展开更多
关键词 Artificial intelligence 2.0 Big data Crowd intelligence CROSS-MEDIA Human-machine hybrid-augmented intelligence Autonomous-intelligent system
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Physiological responses of people in working faces of deep underground mines 被引量:5
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作者 You Bo Wu Chao +1 位作者 Li Ji Liao Huimin 《International Journal of Mining Science and Technology》 SCIE EI 2014年第5期683-688,共6页
The research studied the influences of high temperature, high pressure, high humidity, noise and other harmful factors in mining conditions on the people health and safety, and investigated the impacts of confined env... The research studied the influences of high temperature, high pressure, high humidity, noise and other harmful factors in mining conditions on the people health and safety, and investigated the impacts of confined environmental on human physiology factors, including temperature, humidity, noise, pressure,toxic and harmful gases in terms of environmental characteristics in underground mines and an artificial intelligence system for simulation of the environment in a confined space of deep mines. Our results show that the systolic pressure, diastolic pressure, mean pressure, heart rate, respiratory rate, typing test speed and memory level percentage are negatively correlated with temperature value, and positively correlated with humidity value; the human temperature and weight are positively correlated with temperature value, and negatively correlated with humidity value. This research lays the foundation for the study of interaction between the deep confined space environment and safety behavior. 展开更多
关键词 Deep mine Confined space High temperature and high humidity Simulation experiment Human physiological index
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