期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
“对抗性”减弱:生成式人工智能阅读交互与人类思维弱化 被引量:2
1
作者 黄洁梅 《情报探索》 2023年第12期44-50,共7页
[目的/意义]生成式人工智能虽然在阅读交互中具有广泛的运用前景,但也需警惕其“对抗性”减弱下引发的问题,这有利于未雨绸缪,规避其带来的风险。[方法/过程]基于对生成式人工智能技术逻辑的解析,阐释了生成式人工智能阅读交互语境下“... [目的/意义]生成式人工智能虽然在阅读交互中具有广泛的运用前景,但也需警惕其“对抗性”减弱下引发的问题,这有利于未雨绸缪,规避其带来的风险。[方法/过程]基于对生成式人工智能技术逻辑的解析,阐释了生成式人工智能阅读交互语境下“对抗性”减弱的生成逻辑,并提出相关的干预措施。[结果/结论]生成式人工智能如ChatGPT,虽提高信息处理效率,但其无条件服从人类指令的设计可能降低用户的思辨能力和认知负荷。这种人机交互模式容易导致认知偏误和“回声室效应”,进而引发思维和知识的退化。为规避这一风险,用户需在与AI交互时保持批判性思维和元认知能力,以及维护自我效能。 展开更多
关键词 对抗性 阅读思维 知识退化 生成式人工智能 ChatGPT
下载PDF
Extraction and Dynamic Spatial-Temporal Changes of Grassland Deterioration Research Hot Regions in China 被引量:4
2
作者 胡云锋 韩月琪 +1 位作者 张云芝 庄园 《Journal of Resources and Ecology》 CSCD 2017年第4期352-358,共7页
The authors use a web crawler to retrieve all periodical articles from CNKI between the 1950 s and 2016 and then parse the abstracts of 293368 articles about grassland deterioration by word segmentation, location matc... The authors use a web crawler to retrieve all periodical articles from CNKI between the 1950 s and 2016 and then parse the abstracts of 293368 articles about grassland deterioration by word segmentation, location matching and other methods. The authors also construct a research hot regions extraction model of grassland deterioration in China based on a comprehensive research hot regions index of toponyms and then analyze the spatial pattern and dynamic change in research hot regions of grassland deterioration in China. The research shows the following:(1) The spatial heterogeneity of grassland deterioration in China can be effectively described by a model of grassland deterioration based on the comprehensive research hot regions index.(2) The research hot regions of grassland deterioration are mainly distributed in most regions of Inner Mongolia, Xinjiang, Qinghai, Tibet, Gansu and other provinces. The northeastern region of Inner Mongolia(such as Hulunbeier) and the eastern region of Inner Mongolia(such as Xilin Gol, Chifeng and Wulanchabu) are significant hot regions in the study of grassland deterioration.(3) The number of high research hot regions increases from 81 in the 1950 s to 99 in the 2000s; the area increases from 1.038 million km2 to 1.146 million km2. The degree of hot for grassland deterioration research in 197 counties showed an upward trend. This paper also discusses the relationship between the region of research hot regions and the region of grassland deterioration and then indicates the differences between them in time matching, space matching and concept matching. 展开更多
关键词 knowledge engine hot regions analysis grassland deterioration region extraction spatial distribution dynamic change
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部