什么是意识,机器可以拥有它吗?
Stanislas Dehaene1,2, Hakwan Lau3,4, Sid Kouider5
1Chair of Experimental Cognitive Psychology, Collège de France, 11 Place Marcelin Berthelot, 75005 Paris, France. stanislas.dehaene@cea.fr.
概括
研究机器意识需要理解人类大脑的计算. 这项研究将全球广播 (C1) 和自我监控 (C2) 的意识过程与无意识过程 (C0) 区分开来,表明当前的人工智能模仿了C0.
科学领域:
- 神经科学
- 人工智能
- 认知科学
- 思想的哲学
背景情况:
- 机器意识的辩论取决于对人类大脑中的生物意识的理解.
- 目前的人工智能取得的成功并不等同于真正的意识.
- 术语"意识"经常被含糊地使用,涵盖了不同的认知功能.
研究的目的:
- 区分人类大脑与意识相关的不同类型的信息处理.
- 在人类无意识和有意识处理的背景下分析当前的机器学习架构.
- 提出一种由神经意识机制启发的更复杂的人工智能框架.
主要方法:
- 对无意识 (C0) 和有意识 (C1,C2) 大脑计算的心理学和神经科学文献的审查.
- 人类意识和当前人工智能系统中的信息处理概念分析.
- 基于C0,C1和C2过程的计算机制的比较分析.
主要成果:
- 意识涉及两个不同的计算:全球信息广播 (C1) 和计算的自我监控 (C2).
- 目前的人工智能主要实现与人类大脑中的无意识处理 (C0) 相似的计算.
- 在无意识处理 (C0),全球可用性 (C1) 和主观确定性 (C2) 之间有明确的区别.
结论:
- 了解C1和C2的神经基础对于将AI推向真正的意识至关重要.
- 未来的人工智能架构可能会受到人类C0,C1和C2过程的独特计算原则的启发.
- 这项研究为评估和发展人工意识提供了神经科学框架.
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