神经元的情况:在芯片上意识的无效定理
Johannes Kleiner1,2,3,4, Tim Ludwig5,6
1Munich Center for Mathematical Philosophy, Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, Munich 80539, Germany.
Neuroscience of consciousness
|December 30, 2024
概括
一个新的no-go定理表明,利用当前计算机处理器的人工智能 (AI) 系统不太可能实现意识. 这一发现取决于动态相关性原则,这表明意识会影响系统的状态演变.
科学领域:
- 人工智能的人工智能
- 思想的哲学 思想的哲学
- 理论物理 理论物理
背景情况:
- 人工意识的问题仍然是人工智能和哲学中的一个重大挑战.
- 当代人工智能系统依赖于具有特定计算动态的硬件.
研究的目的:
- 通过基于物理的方法来研究人工智能系统中人工意识的可能性.
- 建立一个理论框架,解决当前AI硬件关于意识的局限性.
主要方法:
- 原来来自物理学的"no-go定理"方法的应用,用于人工意识的问题.
- 分析当代人工智能处理器 (CPU,GPU,TPU) 的计算动态.
- 对意识的"动态相关性"假设的引入和应用.
主要成果:
- 导出了一个"no-go"定理,表明当前硬件上的AI系统不能有意识.
- 该定理的结论取决于意识是动态相关的假设.
- 处理器的内在设计抑制了偏差,在动态相关性假设下排除了意识.
结论:
- 由于动态相关性假设,在当代计算机芯片上,人工意识在理论上是不可能的.
- 这项研究强调了硬件架构在意识的出现中的关键作用.
- 需要进一步的研究来确定意识的动态相关性,以证实定理的含义.
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