通过研究大脑,我们对人工智能学到了什么?
1Department of Psychology and Center for Brain Science, Harvard University, Cambridge, USA, Cambridge, USA. gershman@fas.harvard.edu.
Biological cybernetics
|February 10, 2024
概括
神经科学和人工智能 (AI) 有着共同的历史,但AI
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 认知科学 认知科学
背景情况:
- 神经科学和人工智能 (AI) 之间的历史关系是复杂的.
- 声称神经科学发现推动了人工智能发展的说法需要仔细检查.
研究的目的:
- 批判性地分析神经科学对人工智能的历史影响.
- 为了更细致地理解思想的双向流动.
主要方法:
- 对神经科学和人工智能的关键发展进行历史分析.
- 关于开创性论文和历史记载的文献评论.
- 概念框架和方法的比较研究.
主要成果:
- 虽然人工智能受到大脑的松散启发,但直接的因果关系往往被夸大了.
- 有影响力的思想流主要来自人工智能研究,回到神经科学.
- 神经科学对人工智能的影响更为间接,提供概念隐喻而不是直接算法.
结论:
- 神经科学仅仅驱动人工智能的叙述是一种过度简单化.
- 更准确的历史视角揭示了一个复杂的相互作用,人工智能对神经科学做出了重大贡献.
- 了解这种细微的历史对于未来的跨学科研究至关重要.
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