意识主动推理I:量子模型自然实现了实时规划和控制所需的路径积分
Michael C Wiest1, Arjan Singh Puniani2
1Neuroscience Department Wellesley College, 21 Wellesley College Rd., Wellesley, MA 02481, United States.
Computational and structural biotechnology journal
|October 2, 2025
概括
主动推断,一种感知行为理论,需要复杂的计算. 这项研究提出了量子模型,特别是Orch OR理论,作为大脑有意识主动推理的生物学可信机制.
科学领域:
- 神经科学是一个神经科学.
- 量子物理学 量子物理学 是一种量子物理学.
- 计算理论 计算理论
背景情况:
- 积极推断模型感知行为和学习.
- 当前的模型面临着对有意识的代理人的计算速度的限制.
- 经典神经元可能无法足够快速地执行必要的路径积分计算.
研究的目的:
- 探索量子模型的可行性,以实现主动推理.
- 为了弥合主动推理和量子力学之间的差距,有意识的代理人.
- 为意识主动推理提出一个量子模型.
主要方法:
- 意识主动推理和量子路径积分之间的数学等价性.
- 讨论古典与量子神经模型的讨论.
- 引用了"Orch OR"量子意识理论.
主要成果:
- 意识主动推理在数学上相当于量子路径积分.
- 量子模型为主动推理提供了一个生物学上可信的机制.
- 经典神经元对于复杂的活性推理可能太慢.
结论:
- 量子力学为实现意识主动推理提供了一个合适的框架.
- "鱼OR"理论为感知推理周期提供了一个潜在的解释.
- 进一步研究大脑中的量子效应是有必要的.
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