生成文本的不可计算性
1Institute of Philosophy, VVI, Slovak Academy of Sciences, Klemensova 19, P.O. Box 3364, 813 64 Bratislava, Slovakia.
概括
本文探讨了雅克·德里达 (Jacques Derrida) 的可变性概念,用于分析机器学习生成的文献. 它认为德里达的框架有助于解构人类与非人类的创造,揭示了AI在文学中的潜在积极用途.
科学领域:
- 技术的哲学技术的哲学
- 文学理论 文学理论
- 人工智能研究 人工智能研究
背景情况:
- 探索了雅克·德里达的外表化概念.
- 讨论马丁·海德格尔对机器创造的看法和德里达的批评.
- 介绍了可变性概念作为德里达批评的核心.
研究的目的:
- 将德里达的可变性理论应用于机器学习生成的文本.
- 为理解人工智能产生的文献提供一个框架.
- 在创作过程中解构人类/非人类的区别.
主要方法:
- 德里达对可代性概念的哲学分析.
- 在机器学习中应用德里德解构来生成文本.
- 对海德格尔和德里德对机器创造的看法进行比较研究.
主要成果:
- 德里达的可代性为分析机器学习文献提供了一个有价值的镜头.
- 机器生成的文本表现出所有文本固有的不可计算性和机械元素.
- 该研究解构了人类和非人类作者之间的二进制.
结论:
- 德里达的文本性理论阐明了人工智能生成的文学.
- 解构人类/非人类创造为积极的人工智能应用开辟了道路.
- 可代性是理解机器学习生成内容的独特特征的关键.
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