宇宙、心灵、物质:心灵在时空中吗?

IF 2 4区 生物学 Q2 BIOLOGY
Stuart Kauffman , Sudip Patra
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引用次数: 0

摘要

在本文中,我们试图制定一个概念性的、可检验的框架,将宇宙、心灵和物质编织成一个整体。我们以最近的三个发现为基础,每个发现都需要更多的证据: i. 标准模型的粒子,即 SU(3) × SU(2) × U(1) ,在形式上能够集体自催化。这让我们不禁要问,这种自催化作用在宇宙生成过程中可能扮演了什么角色,并试图回答:为什么是我们的定律?为什么是我们的常数?苏(3)×苏(2)×乌(1)粒子的集体自催化能力可能有待实验检验,如果得到证实,将令人惊叹。现在有合理的证据表明,物质可以扩展时空。首要问题是在 5 西格玛或更高水平上证实这一说法(如果可以做到的话)。如果属实,这一过程可能会阐明暗物质、暗能量和膨胀,并要求改变爱因斯坦的场方程。宇宙学将发生变革。6.49 西格玛的证据表明,意念可以改变双缝实验的结果。如果得到广泛和独立的验证,量子力学的基础就必须改变。心灵在宇宙中扮演着某种角色。这个角色可能包括宇宙心灵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cosmos, mind, matter: Is mind in spacetime?
We attempt in this article to formulate a conceptual and testable framework weaving Cosmos, Mind and Matter into a whole. We build on three recent discoveries, each requiring more evidence: i. The particles of the Standard Model, SU(3) × SU(2) × U(1), are formally capable of collective autocatalysis. This leads us to ask what roles such autocatalysis may have played in Cosmogenesis, and in trying to answer, Why our Laws? Why our Constants? A capacity of the particles of SU(3) × SU(2) × U(1) for collective autocatalysis may be open to experimental test, stunning if confirmed. ii. Reasonable evidence now suggests that matter can expand spacetime. The first issue is to establish this claim at or beyond 5 sigma if that can be done. If true, this process may elucidate Dark Matter, Dark Energy and Inflation and require alteration of Einstein's Field Equations. Cosmology would be transformed. iii. Evidence at 6.49 Sigma suggests that mind can alter the outcome of the two-slit experiment. If widely and independently verified, the foundations of quantum mechanics must be altered. Mind plays a role in the universe. That role may include Cosmic Mind.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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