法律的领域和无法律的领域:能量和工作,负责任的自由意志选择和行动。

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

摘要

我们在这里探讨了“有规律的领域”和“无规律的领域”之间的基本和惊人的范式转变,其中前者是对我们非常成功但正统的科学世界观(包括经典物理学和量子力学)的恰当封装,具有确定性或随机进化的定义良好且稳定的配置空间。后者是一个全新的无定律领域,具有不断发展的配置空间、不可演绎的信息创造、真正的新奇性和不可预估的相邻可能。我们探讨了这两个不同领域的特征,询问了关于功、能量、熵和代理的定义。我们提供了量子力学的重建,以重新构建传统的假设,并解决有关生命的本质,复杂的适应系统的挥之不去的问题。我们认为,真正负责任的自由意志和机构的中心作用是不断发展的生物圈的基本特征。在这里,我们扩展这一主题,呼吁对科学本身采取一种全新的、全面的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Domains of laws yet domains of No Law: Energy and work, responsible free will choice, and doing
We explore here the fundamental and striking paradigmatic shifts between ‘Domain of Laws’ and ‘Domain of No Laws’, where the former is an apt encapsulation of our remarkably successful but orthodox science world view (including classical physics and quantum mechanics) with well-defined and stable configuration spaces having deterministic or stochastic evolution. The latter is a radically new Domain of No Law with evolving configuration spaces, non-deducible information creation, genuine novelties, and an unprestatable Adjacent Possible. We explore the features of these two distinct domains asking what can be defined with respect to work, energy, entropy, and agency. We offer a reconstruction of quantum mechanics to reframe traditional assumptions and address lingering questions concerning the nature of living, complex adaptive systems. We propose that a genuine responsible free will and a central role of agency are essential features of an evolving Biosphere. Here we extend this theme to call for a radically new and comprehensive view of science itself.
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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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