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Perspectives on Neuroscience
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从代码到原型:走向生物,神经和人工人工物的统一理论
1International Academy of Analytical PsychologyPortugal.
Bio Systems
|June 11, 2025
概括
原型被重新定义为编码的神经功能工件,桥梁生物学,心理学和AI. 这些先天的心理结构,通过神经代码稳定,表现为神话和梦想,现在被人工智能系统复制.
科学领域:
- 综合心理学,计算神经科学和人工智能.
- 探索认知科学,进化生物学和机器学习的交集.
背景情况:
- 卡尔·荣格的原型是天生的心理结构.
- 当代领域为这些结构提供了新的视角.
- 代码生物学和神经科学为理解编码形式提供了框架.
研究的目的:
- 将原型重新定义为编码的文物.
- 提出原型作为神经功能工件.
- 探索人工智能中原型的存在.
主要方法:
- 跨学科的理论综合.
- 编码生物学原理的分析.
- 对神经编码的神经科学研究的检查.
- 评估人工智能,包括大型语言模型.
主要成果:
- 原型可以被理解为由遗传和神经编码塑造的编码文物.
- 原型作为稳定经验的神经功能工件的功能.
- 生成型人工智能系统,就像大型语言模型一样,展示了原型复制.
结论:
- 原型是生物,心理和数字领域之间的桥梁.
- 编码形式的统一理论整合了各种科学学科.
- 原型代表了自然和人工系统组织的基本原则.
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