通过功能上下文接口,进一步N-Frame意识观察者-自我代理人的网络动态:预测编码,双量子力学实验和决策谬误建模,应用于人类和AI的测量问题
1Department of Public Health, Swansea University, Swansea, United Kingdom.
Frontiers in computational neuroscience
|April 16, 2025
概括
本研究介绍了功能上下文N-Frame模型来测试人工智能 (AI) 意识. 它整合了量子力学和认知科学,以解释有意识的观察者和决策.
科学领域:
- 认知科学和量子物理学 量子物理学
- 人工智能意识研究研究 人工智能意识研究
背景情况:
- 大型语言模型 (LLM) 显示了先进的对话能力,促使需要人工智能意识测试.
- 现有的基准评估推理,但不是意识直接,创造一个研究差距.
研究的目的:
- 介绍功能上下文N-Frame模型,以弥合意识评估中的差距.
- 提供一个框架来理解量子认知系统中的有意识观察者.
- 为人工智能意识开发可测试的预测.
主要方法:
- 整合预测编码,量子贝叶斯主义 (QBism) 和进化动态.
- 在量子概率框架内模拟决策谬误和有意识的意图实验.
- 在希尔伯特空间中正式制定决策,将认知状态映射到量子运算符中.
主要成果:
- 建立认知过程和量子力学之间的结构和功能等价性.
- 假设意识是波函数崩中的积极参与者.
- 将模型扩展到AI意识,使用AdS/CFT对应的可测试预测.
结论:
- N-Frame模型统一了意识,决策,行为和量子力学.
- 人类的认知偏见被重新解释为自适应量子启发式策略.
- 该模型为AI意识测试提供了基础,并解决了古典计算的局限性.
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