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机器学习的透视:斯蒂格勒《技术与时间》量化解读

Quantitative Interpretation of Stiegler’s Technics and Time:A Machine Learning Perspective
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摘要 为了深入和全面地探索贝尔纳·斯蒂格勒《技术与时间》中所阐述的学术思想,通过词频统计和TF-IDF分析提取文本中的关键词,采用主题建模方法理解《技术与时间》的主题结构,并结合Word2Vec模型探究斯蒂格勒哲学体系中的概念纽带。研究结果表明:《技术与时间》在继承海德格尔、胡塞尔等哲学家思想的基础上,探讨了技术、时间、记忆、存在、人类意识等多方面问题。斯蒂格勒认为技术是一种塑造世界的决定性力量,其深刻影响了人类社会的经济走向以及历史的演进过程。时间不仅仅是物理时间的概念,还涵盖了技术进步是如何塑造人类历史和社会发展进程的维度。记忆被视为人类认知的基础,技术作为一种记忆形式,保存了人类历史和文化的痕迹,塑造了人类的未来。 To delve into the academic ideas expressed in Bernard Stiegler’s Technics and Time,keyword extraction through word frequency statistics and TF-IDF analysis is employed to discern key terms within the text.The thematic structure of Technics and Time is elucidated using topic modeling techniques,while the conceptual links within Stiegler’s philosophical framework are explored through the Word2Vec model.The findings indicate that Technics and Time,building on the thoughts of philosophers such as Heidegger and Husserl,examines a multitude of issues including technology,time,memory,existence,and human consciousness.Stiegler posits that technology is a decisive force that shapes the world and profoundly influences the economic direction of human society and the course of history.Time is considered not merely in terms of physical duration but also encompasses how technological advancements shape the trajectory of human history and societal development.Memory is regarded as the foundation of human cognition,with technology as a form of memory preserving traces of human history and culture,thereby shaping the future.
作者 赵影杰 侯娟 ZHAO Yingjie;HOU Juan(School of Philosophy,Anhui University,Hefei 230039,China)
出处 《宁波工程学院学报》 2024年第2期65-72,共8页 Journal of Ningbo University of Technology
关键词 机器学习 斯蒂格勒 Word2Vec 主题建模 machine learning Stigler Word2Vec topic modeling
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