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Continuously evolving to bridge significant gaps in our understanding of complexity 不断发展,弥补我们对复杂性认识的重大差距
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7201
David LePoire
Although complexity plays a significant role in big history, substantial gaps persist in our comprehension. While the papers in this issue do not provide definitive answers to these gaps, they contribute to the ongoing discussion on how to address these issues and propose potential pathways for resolution. These gaps encompass measurement, focus, organization, relevance, consistency, and interpretation. While there may not be unanimous agreement on the specific direction to take, the academic discussions evident in these papers aim to elucidate the issues and foster understanding within the expansive and diverse scientific community.
尽管复杂性在大历史中扮演着重要角色,但我们在理解复杂性方面仍存在巨大差距。尽管本期的论文并没有为这些差距提供明确的答案,但它们为正在进行的关于如何解决这些问题的讨论做出了贡献,并提出了潜在的解决途径。这些差距包括测量、重点、组织、相关性、一致性和解释。虽然在具体方向上可能还没有达成一致意见,但这些论文中的学术讨论旨在阐明这些问题,并促进广阔而多样化的科学界对这些问题的理解。
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引用次数: 0
Chemical Evolution in Big History 大历史中的化学演变
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7208
Leonid Grinin
Unfortunately, there is insufficient research on the course of chemical evolution within the framework of the study of both Big History and evolution. The lack of attention to chemical evolution is all the more disappointing since it is a very important part of megaevolution and Big History, which at some of its stages even act as the leading line (in particular, in the formation of pre-life on the Earth five billion years ago). The paper presents a brief history of chemical evolution: from the formation of the first atoms in the Universe to abiogenesis on the Earth, that is, the stage of pre-life and the formation of prerequisites for the emergence of the first living organisms. The history of chemical evolution before life's origin can be divided into three stages: the formation of atoms (pre-evolution); history before the start of the abiogenic phase on the Earth; and abiogenic chemical evolution. However, the author aims to elaborate a more detailed periodization of chemical evolution before life's origin. One should also pay attention to the important feature of chemical evolution which distinguishes it from other lines of evolution, namely, its co-evolutionary nature. The author demonstrates that chemical evolution at all its stages acted as a part of a co-evolutionary tandem: first, as a part of cosmic and stellar-galactic evolution, then as a part of planetary evolution since it is on planets (where temperature parameters are much more comfortable for chemical reactions) that a new qualitative stage in the development of chemical evolution begins. Finally, on the Earth, it developed first as a part of geochemical evolution, and then as a part of bio-chemical evolution, and this development continues until now.
遗憾的是,在大历史和进化论的研究框架内,对化学进化过程的研究不足。化学进化是大进化和大历史中非常重要的一部分,在某些阶段甚至起着主导作用(特别是在 50 亿年前地球上前生命的形成过程中),因此对化学进化缺乏关注更令人失望。本文简要介绍了化学进化的历史:从宇宙中第一批原子的形成到地球上的生物发生,即生命前期和第一批生物出现的先决条件形成阶段。生命起源之前的化学进化史可分为三个阶段:原子的形成(前进化);地球上生物生成阶段开始之前的历史;生物生成化学进化。不过,作者的目的是对生命起源之前的化学进化进行更详细的阶段划分。我们还应该注意化学进化有别于其他进化路线的重要特征,即共同进化的性质。作者证明,化学进化在其各个阶段都是共同进化串联的一部分:首先是宇宙和恒星-银河系进化的一部分,然后是行星进化的一部分,因为正是在行星上(那里的温度参数更适合化学反应),化学进化的发展才开始了一个新的质的阶段。最后,在地球上,化学进化首先是地球化学进化的一部分,然后是生物化学进化的一部分,这种发展一直持续到现在。
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引用次数: 0
How Chaos Theory Brings Order to the Evolution of Intelligence 混沌理论如何为智能进化带来秩序
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7205
Nicholas Hoggard
This study investigates links between human evolution, information transmission processes, and Chaos Theory, revealing a mathematical pattern underlying evolutionary milestones. By examining the timing of new methods of information transmission, the research confirms a suspected correlation with the Feigenbaum constant δ, a universal factor in Chaos Theory and also found in complex systems. This pattern is prominent in cultural evolution but also extends to biological evolution, as well as to the evolution of written language, suggesting a predictable framework for understanding the progression of complexity in life. The study incorporates findings from various disciplines, including cognitive science, archaeology, and nonlinear dynamics, providing evidence that our development, while it may be random in most aspects, is deterministic in the way complexity grows steadily and evolves information transmission of increasing sophistication. This multidisciplinary approach offers new insights into the links between chaos, complexity, and information, and their role in driving the evolution of intelligent life.
本研究调查了人类进化、信息传输过程和混沌理论之间的联系,揭示了进化里程碑背后的数学模式。通过研究新的信息传输方法的时间,研究证实了与费根鲍姆常数δ之间的疑似相关性,而费根鲍姆常数δ是混沌理论中的一个普遍因素,也存在于复杂系统中。这种模式在文化进化中非常突出,但也延伸到生物进化以及书面语言的进化中,为理解生命复杂性的发展提供了一个可预测的框架。这项研究融合了认知科学、考古学和非线性动力学等多个学科的研究成果,为我们的发展提供了证据,即虽然我们的发展在大多数方面可能是随机的,但在复杂性的稳步增长和信息传输的日益复杂方面却是确定的。这种多学科方法为我们提供了新的视角,让我们了解混沌、复杂性和信息之间的联系,以及它们在推动智慧生命进化过程中的作用。
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引用次数: 0
On Trends and Periods in Big History 关于大历史的趋势和时期
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7204
R. Aunger
Over nearly fifty years, Big History has evolved as an interdisciplinary approach, connecting cosmic, geological, biological, and cultural phenomena into a unified narrative of increasing complexity. This paper critically examines various theoretical frameworks within Big History, focusing on their scientific soundness. While progress has been made, challenges persist in establishing a theoretical core and achieving consensus. Commonalities exist, such as the recognition of a trend toward increasing complexity, the division into temporal eras and periods, and the acknowledgment of unique dynamics defining these phases. However, a consensus on the best foundational principles and canonical periods remains elusive. The paper suggests three strategies for theory development: employing cross-disciplinary theories, generalizing discipline-specific theories, or inventing novel theories. Each approach requires further refinement and empirical testing to contribute to consensus building. Big History is argued to have utility based on its ability to contextualize events within a broader framework, but more ambitious rationales and empirical work may be necessary for skeptical audiences. Despite ongoing theoretical debates, immediate progress can be achieved through empirical endeavors, contributing to the discipline's reputation.
近五十年来,大历史已发展成为一种跨学科方法,它将宇宙、地质、生物和文化现象连接成一个日益复杂的统一叙事。本文批判性地研究了大历史中的各种理论框架,重点关注其科学合理性。虽然已经取得了进展,但在建立理论核心和达成共识方面仍然存在挑战。共同点是存在的,例如承认复杂性不断增加的趋势、划分时间时代和时期,以及承认定义这些阶段的独特动力。然而,关于最佳基础原则和典型时期的共识仍未达成。本文提出了三种理论发展策略:采用跨学科理论、归纳特定学科理论或发明新理论。每种方法都需要进一步完善和实证检验,以促进达成共识。大历史学被认为具有实用性,因为它能够在更广泛的框架内对事件进行背景分析,但对于持怀疑态度的受众来说,可能需要更雄心勃勃的理论依据和实证工作。尽管理论上的争论仍在继续,但通过实证工作可以立即取得进展,从而提高该学科的声誉。
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引用次数: 0
Complexity Science and Myth in Big History 大历史中的复杂性科学与神话
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7210
Ken Baskin
From early on, David Christian’s vision of big history as a “modern creation myth” faced criticism for introducing elements of spirituality. This essay contends that the resulting controversy arises from a misunderstanding of the nature of myth. The mainstream model of myth depicts it as fanciful stories of supernatural agents that members of a society use to address their anxieties. While this is often the case, the author argues that myth can be more profitably explored as a neurobiological imperative that plays a critical role in cultural evolution. To make this case, he examines how the principles of complexity science helped him understand how human history has gone through periods, such as the Axial Age and Modernity, when the change produced by societies’ greatest successes demanded new ways of thinking about the world in order for those societies to survive. He then examines current neurobiology to explain how reinventing myth has allowed such societies to transform in ways that enabled them to meet the challenges produced by change. With this understanding of myth, the essay concludes with a discussion of how the myth of big history can allow us to contribute to the new ways of thinking that are emerging today, as culture evolves so we can meet our current existential challenges.
戴维-克里斯蒂安将大历史视为 "现代创世神话",这一观点很早就因为引入了灵性元素而遭到批评。本文认为,由此引发的争议源于对神话本质的误解。神话的主流模式将神话描述为超自然力量的虚构故事,社会成员利用这些故事来解决他们的焦虑。虽然事实往往如此,但作者认为,将神话作为一种神经生物学的必要条件来探讨会更有益处,因为它在文化进化中发挥着至关重要的作用。为了说明这一点,他研究了复杂性科学的原理是如何帮助他理解人类历史是如何经历轴心时代和现代性等时期的,在这些时期,社会最大的成功所产生的变化要求人们以新的方式思考世界,以使这些社会得以生存。然后,他研究了当前的神经生物学,解释了重塑神话是如何使这些社会得以转型,从而应对变革带来的挑战。基于对神话的这种理解,文章最后讨论了大历史神话如何让我们为今天正在出现的新思维方式做出贡献,因为文化的发展使我们能够应对当前的生存挑战。
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引用次数: 0
Exploring the Human History: Cybernetic Modeling, Systemic Perspectives, and Applications in Archaeological Eras 探索人类历史:考古学时代的控制论建模、系统观点和应用
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7212
S. Grinchenko
Since the 1970s, cybernetic modeling of evolutionary processes has progressed, particularly with the development of the informatics-cybernetic model (ICM). This model conceptualizes humanity as a self-regulating hierarchical network system, continuously tracking energy-based target crite-ria through search optimization algorithms. The outcomes are recorded in the system memory of corresponding hierarchical subsystems. Within the ICM framework, the spatio-temporal charac-teristics of global evolution exhibit modifications reminiscent of the Zhirmunsky-Kuzmin number series, a geometric progression they identified in the exploration of critical levels in biosystem development. The study also showcases applications of mathematical-cybernetic modeling results in understanding historical processes examined by archaeologists and historians.
自 20 世纪 70 年代以来,进化过程的控制论建模取得了进展,特别是随着信息学-控制论模型(ICM)的发展。该模型将人类概念化为一个自我调节的分层网络系统,通过搜索优化算法不断追踪基于能量的目标标准。其结果记录在相应层次子系统的系统存储器中。在 ICM 框架内,全球进化的时空特征呈现出与日尔蒙斯基-库兹明数列相似的变化,而日尔蒙斯基-库兹明数列是他们在探索生物系统发展临界水平时发现的一种几何级数。该研究还展示了数学-控制论建模结果在理解考古学家和历史学家研究的历史进程中的应用。
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引用次数: 0
The General Evolutionary Theory as Unification of Biological and Cultural Evolution and as Basis for a Natural Periodization 作为生物进化与文化进化统一体和自然分期基础的一般进化论
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7206
E. Glötzl
The general evolutionary theory can be seen as a comprehensive generalization and extension of Darwin's theory. The basic idea is to consider not only the evolution of genetic information - as Darwin did - but also the evolution of very general information. It shows that evolution is characterized by the fact that new types of information have developed in leaps and bounds, each with new storage technologies, new duplication technologies and new processing technologies. This unified concept of evolution makes it possible, among other things, to 1) achieve a unified view of biological and cultural evolution; 2) find a natural periodization of the evolution from the formation of the earth until today; and 3) understand the exponential acceleration of evolution through the emergence of targeted variation mechanisms.
一般进化论可以看作是达尔文理论的全面概括和延伸。其基本思想是,不仅要像达尔文那样考虑遗传信息的进化,还要考虑非常普遍的信息的进化。它表明,进化的特点是新型信息的飞跃发展,每种信息都有新的存储技术、新的复制技术和新的处理技术。这种统一的进化概念使我们有可能:1)实现生物进化和文化进化的统一观点;2)找到从地球形成到今天的进化的自然周期;3)通过有针对性的变异机制的出现理解进化的指数加速。
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引用次数: 0
Complexity growth patterns in the Big History: Preliminary results of a quantitative analysis 大历史中的复杂性增长模式:定量分析的初步结果
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7203
Andrey Korotayev
The paper presents preliminary results of a quantitative analysis of two patterns of complexity growth in the Big History – decelerating universal (cosmic) evolutionary development evidenced in the Universe for a few billions of years after the Big Bang (around 13.8 billion BP) and accelerating global (biosocial) evolutionary development observed for about 4 billion years on the planet Earth since the emergence of life on it and until the early 1970s. It is shown that the first pattern can be described with an astonishing accuracy (R2 = 0.999996) by the following equation: y = C1/(t-t1*), where y is the rate of the universal complexity growth (measured as a number of phase transitions [accompanied by the growth of complexity] per a unit of time), C1 is a constant, and t-t1* is the time since the Big Bang Singularity (t1*~13.8 billion years BP). In the meantime, it was earlier shown that the second pattern could be described with an almost as high accuracy (R2 = 0.9989 to 0.9991) by the following equation: y = C2/(t2*-t), where y is the rate of accelerating global (biosocial) evolutionary development, C2 is another constant, and t2*-t is the time till the 21st century Singularity (t2*, estimated to be around 2027, or 2029 CE). Thus, the post-Big-Bang hyperbolic decrease of universal complexity growth rate and the hyperbolic increase of the growth rate of global complexity in the last 4 billion years proceeded following the same law. We are dealing here with a perfect symmetry: (1) the rate of the universal (cosmic) complexity growth decreases when we move from the Big Bang Singularity, whereas the rate of the global complexity growth increase when we approach the 21st century Singularity; (2) more specifically, as the time since the Big Bang Singularity increases n times, the universal (cosmic) complexity growth rate decreases the same n times, whereas when the time till the 21st century Singularity decreased n times, the global complexity growth rate increased the same n times. A somehow more complex symmetry is observed as regards the interaction between energy dynamics and complexity growth within both processes. The implications of the symmetry of both patterns are discussed.
本文介绍了对大历史中复杂性增长的两种模式进行定量分析的初步结果--一种是大爆炸后几十亿年(约公元前 138 亿年)宇宙中普遍(宇宙)进化发展的减速模式,另一种是自地球上出现生命以来直至 20 世纪 70 年代初约 40 亿年中地球上观察到的全球(生物社会)进化发展的加速模式。研究表明,第一种模式可以用以下等式以惊人的精确度(R2 = 0.999996)来描述:y = C1/(t-t1*),其中 y 是普遍复杂性的增长速度(以单位时间内的阶段转换次数[伴随着复杂性的增长]来衡量),C1 是常数,t-t1* 是自大爆炸奇点(t1*~138 亿年前)以来的时间。与此同时,早先的研究表明,第二种模式可以用以下等式以几乎同样高的精确度(R2 = 0.9989 至 0.9991)来描述:y = C2/(t2*-t),其中 y 是全球(生物社会)进化发展的加速率,C2 是另一个常数,t2*-t 是 21 世纪奇点(t2*,估计约为 2027 年,或西元 2029 年)之前的时间。因此,大爆炸后宇宙复杂性增长率的双曲线下降和过去 40 亿年全球复杂性增长率的双曲线上升遵循的是同一规律。我们在这里面对的是一个完美的对称性:(1)当我们从大爆炸奇点出发时,普遍(宇宙)复杂性增长率下降,而当我们接近 21 世纪奇点时,全球复杂性增长率上升;(2)更具体地说,当大爆炸奇点之后的时间增加 n 倍时,普遍(宇宙)复杂性增长率同样下降 n 倍,而当 21 世纪奇点之前的时间减少 n 倍时,全球复杂性增长率同样增加 n 倍。在这两个过程中,能量动力学与复杂性增长之间的相互作用存在着更为复杂的对称性。本文讨论了这两种模式对称性的含义。
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引用次数: 0
Brief Biographies of Constributors 撰稿人简介
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7215
Lowell Gustafson
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引用次数: 0
A Complexity Ladder for Big History 大历史的复杂性阶梯
Pub Date : 2024-04-15 DOI: 10.22339/jbh.v7i2.7202
J. N. Nielsen
Complexity is a central problem for big history because big history has made complexity a central theme, constructing a cosmological periodization based on the sequential emergence of qualitatively distinct forms of complexity. How can the big historian differentiate distinct thresholds of emergent complexity while subordinating the entire sequence of thresholds to a single metric of complexity that demonstrates the increase of complexity over multiple scales of magnitude and across qualitatively distinct forms of complexity? The cosmologists’ use of a cosmic distance ladder suggests an analogous construction for complexity: a complexity ladder for big history. While no complexity ladder is formulated in this paper, the program required for a complexity ladder is sketched.
复杂性是大历史学的核心问题,因为大历史学将复杂性作为一个核心主题,根据质量上截然不同的复杂性形式的依次出现,构建了一个宇宙学时期划分。大历史学家如何才能在区分新出现的复杂性的不同阈值的同时,将整个阈值序列从属于一个单一的复杂性度量标准,而这个单一的复杂性度量标准展示了复杂性在多个量级尺度上和不同质的复杂性形式中的增长?宇宙学家对宇宙距离阶梯的使用暗示了一种类似的复杂性结构:大历史的复杂性阶梯。本文虽然没有提出复杂性阶梯,但勾画了复杂性阶梯所需的程序。
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引用次数: 0
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Journal of big history
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