GPT是所有你需要的
1School of Aeronautical, Mechanical, Mechatronics and Electrical, University of Sydney, Sydney, NSW, Australia.
Frontiers in psychology
|October 27, 2025
概括
生成式预训练变压器 (GPT) 模型充当认知支架,增强思维和学习. 需要进一步的研究来理解GPT.
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 教育心理学教育心理学
背景情况:
- 像ChatGPT这样的生成预训练变压器 (GPT) 模型正在改变人类的认知,学习和互动.
- 现有的心理框架 (认知负载理论,社会认知理论,近距离发育区) 为了解GPT的认知影响提供了基础.
研究的目的:
- 探索GPT作为一种支持结构化思维,对话敏捷性,情绪调节和跨学科学习的认知支架的功能.
- 为GPT的认知影响提出理论机制 (神经可塑性,元认知,隐性学习).
- 为增强人类-人工智能认知引入多模式GPT和混合AGI的概念.
主要方法:
- 基于已建立的心理理论进行理论探索.
- 概念化新的GPT应用程序和人类-AI共生.
- 批判性地检查GPT的局限性和实际影响.
主要成果:
- GPT模型可能作为认知支架,影响各种认知功能.
- 理论机制表明,GPT可能会影响神经可塑性,元认知和隐性学习.
- 多模式GPT和混合AGI代表了认知扩展的未来方向.
结论:
- 作为认知支架的GPT的作用是一个有希望的,但投机性的领域,需要经验验证.
- 对幻觉和过度依赖等局限性的批判性审查对于负责任的开发和使用至关重要.
- 这项工作为对GPT长期认知影响的跨学科研究提供了概念基础.
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