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A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
Table of Contents
Genesis Vision
Learning Planet
Organic Universe
Earth Life Emerge
Genesis Future
Recent Additions

Recent Additions: New and Updated Entries in the Past 60 Days
Displaying entries 1 through 15 of 33 found.

The Natural Genesis Revolution

The Genesis Vision > Current Vistas

Friston, Karl, et al. Dynamic Causal Modelling of COVID-19. arXiv:2004.04463. Twelve senior neuroscientists posted in the UK, Australia, France, and Denmark propose a method of technical analysis to help facilitate analyses and predictable lineaments for virulent epidemics. The entry appears among a burst of such endeavors so as to quickly and decisively find ways to quantify, mitigate, and forestall. Their employ of self-organized, network, fractal, complex dynamics and more quite implies the covert presence of an underlying independent, mathematical formative source code, which if it could be fully articulated would be of palliative and value.

And since many fatalities have occurred in New York City, this writer would like to propos a new Manhattan Project or better still a Panhattan Project to gather and focus these worldwise efforts toward gaining preventative knowledge, good vaccines, and public health systems that are proactively ready and able. While the first 1940s project was about death, this second instance would be about life. Across our wider evolutionary scope, one might then view a welling ascent of biomedical information, which as it rises to a global stage (geonome) can be fed back so as to take total management of the virusphere so peoples become ever protected from sudden plagues.

This report describes a dynamic causal model of the spread of coronavirus through a population. It is based upon ensemble or population dynamics that generate new cases and deaths over time. Our purpose is to quantify the uncertain predictions of relevant outcomes. By assuming suitable conditional dependencies, one can model the effects of interventions such as social distancing to predict what might happen in different circumstances. Technically, this model leverages variational (Bayesian) inversion and comparison procedures, originally meant to characterise neuronal ensembles. Our results illustrate a perspective on the current pandemic whence nonlinear effects of herd immunity seem to a self-organised mitigation process. (Abstract excerpt)

The Genesis Vision > Current Vistas

Greene, Brian. Until the End of Time: Mind, Matter, and Our Search for Meaning in an Evolving Universe. New York: Knopf, 2020. This is the latest science bestseller by the Columbia University physicist, which as the final paragraph below cites, continues to drain and deny any and all modicum of purpose and hope – get used to it, there isn’t any. We also note 21 Lessons for the 21st Century by historian Yuval Harari (2019) which doubles down that there is no story or meaning. We add that a February 10 review by Philip Ball in Nature strongly criticized the book for this unmerited conclusion.

As we hurtle toward a cold and barren cosmos, we must accept that there is no grand design. Particles are not endowed with purpose. There is no final answer hovering in the depths of space awaiting discovery. Instead, certain special collections of particles can think and feel and reflect, and within these subjective worlds they can create purpose. (325)

The Genesis Vision > Current Vistas

Perc, Matjaz. Beauty in Artistic Expressions through the Eyes of Networks and Physics. Journal of the Royal Society Interface. March 11, 2020. The University of Maribor, Slovenia complexity theorist has become a leading expositor in Europe and beyond through a steady flow of papers (search) about physical, biologic to social areas. Here he applies the latest findings, as the abstract notes, to cultural phases to show how each in turn can be modeled by the same dynamic mathematics. So to say in 2020, a grand implication presents itself via an integral survey from statistical physics to literary corpora. As illustrated by flavour tastes, artistic styles, musical modes, how children learn, and more, it is evident that an iconic universality of particle/wave, node/link, DNA/AND, me/We, yin/yang complements in a whole system triality has been verified. This entry well conveys a revolutionary discovery in our midst of a participatory universe to wuman epitome genesis co-creation.

Beauty is subjective, it cannot be defined in absolute terms. But we all know or feel when something is beautiful to us. And in such instances, methods of statistical physics and network science can be used to quantify and better understand what evokes that pleasant experience. From the complexity and entropy of art paintings to an array of food flavors, research at the interface of art, physics and network science abounds. We review the existing literature, focusing on culinary, visual, musical and literary arts. We also touch upon cultural history and culturomics, as well as connections between physics and social sciences in general. We find that synergies between these fields yield entertaining results that can often be enjoyed by layman and experts alike. (Abstract excerpt)

Planetary Prodigy: A Sapiensphere Comes to Her/His Own Knowledge

A Learning Planet > The Spiral of Science

Heylighen, . Francis and Katarina Petrovic. Foundations of ArtScience. Online April, 2020. Free University of Brussels scholars (search FH) propose a frontier synthesis of these iconic cultural approaches, which as the Abstracts cites, could be attributed to our complementary brain hemispheres, each with a significant, vital contribution to make. This project is vital today as the two modes are far apart so that a male mechanistic, Ptolemaic physics rules, with any feminine sense of an organic image and message is excluded.

While art and science went on side-by-side during the Renaissance, their methods and perspectives parted leading to a long separation between the "two cultures". Recently, A collaboration between artists and scientists is promoted by the ArtScience movement to join the intuitive, imaginative ways of art and a rational, rule-governed science. Science and art are united in their creative investigation, where coherence, pattern and meaning play a vital role in the development of concepts. According to the standard view, science seeks an understanding that is universal, objective and unambiguous, while art focuses on unique, subjective and open-ended experiences. Both offer prospect and coherence, mystery and complexity, albeit with science preferring the former and art, the latter. (Abstract excerpt)

An Organic, Conducive, Habitable MultiUniVerse

Animate Cosmos > Quantum Cosmology > cosmos

Stueken, Eva, et al. Mission to Planet Earth: The First Two Billion Years. Space Science Reviews. 216/Art. 31, 2020. As if some global cognitive faculty has landed on this world and is retrospectively trying to learn how it all came to be, nine astroscientists with postings in Scotland, Austria, Germany, Japan, and the USA, including Helmut Lammer discuss features such as From Magma to a Water Ocean, Onset of Plate tectonics, and more.

Solar radiation and geological processes over the early million years of Earth’s history, along with the origin of life, steered our planet towards a long evolutionary course of habitability and the emergence of complex life. Crucial aspects included: (1) the redox state and volatile content of Earth’s geology, (2) the timescale of atmospheric oxygenation; (3) the origin of autotrophy, biological N2 fixation, and oxygenic photosynthesis; (4) strong stellar UV radiation on the early Earth, and (5) photochemical effects on Earth’s sulfur cycle. The early Earth presents as an exoplanet analogue that can be explored through the existing rock record, allowing us to identify atmospheric signatures diagnostic of biological metabolisms that may be detectable on other inhabited planets with next-generation telescopes. (Abstract excerpt)

Animate Cosmos > Quantum Cosmology > exouniverse

masaki, Shogo, et al. Anisotropic Separate Universe Simulations. . Suzuka College, Kyoto University and University of Toyko physicists open the paper by noting that worldwide scientific collaborations now make it possible to theoretically consider entire cosmoses with regard to variable parameters and properties. In a philoSophia view, how fantastic is it that we phenomenal human beings are altogether capable of considering and quantifying a whole universe.

The long-wavelength coherent overdensity and tidal force affect time evolution of cosmic structure formation and therefore clustering observables through the mode coupling. In this paper we develop an "anisotropic" separate universe (SU) simulation technique to simulate large-scale structure formation. We modify the TreePM N-body simulation code to implement the anisotropic SU simulations, and then study the "response" function of matter power spectrum that describes how the matter power spectrum responds to the large-scale tidal effect as a function of wavenumber and redshift for a given global cosmology. We test and validate the SU simulation results from the comparison with the perturbation theory predictions and the results from high-resolution PM simulation. We find that the response function displays characteristic scale dependences over the range of scales down to nonlinear scales, up to k ~ 6 h/Mpc. (Abstract)

Animate Cosmos > Organic > Biology Physics

Alexandrov, Dmitri and Andrey Zubarev. Patterns in Soft and Biological Matters. Philosophical Transactions of the Royal Society A. April, 2020. Ural Federal University, Russia bioresearchers introduce a special edition with this title. Papers such as Stochastic Phenomena in Pattern Formation for Distributed Nonlinear Systems, On the Theory of Magnetic Hyperthermia, and Constructive Role of Noise and Diffusion in an Excitable Slow-Fast Population System describe many ways that material substance can come alive, and while showing how living systems arise from physical principles. In each case the manifest presence of an immaterial mathematical realm is evident.

This issue is devoted to theoretical, computer and experimental studies of internal heterogeneous patterns, their morphology and evolution in various soft physical, organic and inorganic materials. Their importance is due to the significant role of internal structures on the macroscopic properties and behaviour of natural and manufactured tissues and materials. Modern methods of computer modelling, statistical physics, heat and mass transfer, statistical hydrodynamics, nonlinear dynamics and experimental methods are presented. Special attention is paid to biological systems such as drug transport, hydrodynamic patterns in blood, protein, insulin crystals and more. (Abstract excerpt)

Animate Cosmos > Organic > Biology Physics

Diaz, Jorge and Roberto Mulet. Statistical Mechanics of Interacting Metabolic Networks. Physical Review E. 101/042401, 2020. A University of Havana systems biologist and a physicist discern an array of affinities between cellular processes and condensed matter as life’s complexity and animate cosmos proceed to reunite and grow together. See also Characterizing Steady States of Genome Scale Metabolic Networks in PLoS Computational Biology (November 2017) and A Physical Model of Cell Metabolism in Nature Scientific Reports (8/8349, 2018) by the authors and colleagues.

We cast the metabolism of interacting cells within a statistical mechanics framework with regard to the phenotypic capacities of each cell and its interaction with its neighbors. Reaction fluxes will be the components of spin vectors, whose values are constrained by stochiometry and energy requirements of the metabolism. Within this picture, the phenotypic states of the population are equivalent to the equilibrium states of a disordered spin model. We apply this solution to a simplified model of metabolism and a complex metabolic network, the central core of Escherichia coli, to demonstrate that the combination of selective pressure and interactions defines a complex phenotypic space. Cells may specialize in producing or consuming metabolites, which is described by an equilibrium phase space akin to a spin-glass model. (Abstract excerpt)

Animate Cosmos > Organic > Biology Physics

Morone, Flaviano, et al. Fibration Symmetries Uncover the Building Blocks of Biological Networks. Proceedings of the National Academy of Sciences. 117/8306, 2020. CCNY systems physicists including Hernan Makse describe a novel geometric intersect between living systems and their physical substrate by way of these webwork intricacies. Notably then the contribution serve belies its own inorganic building block metaphor.

The success of symmetries in explaining the physical world, from general relativity to particle physics and all phases of matter, raises the question of whether the same concept could explain emergent properties of biological systems. In other words, if life is an emergent property of physics then the symmetry principles that inform physics should also apply to the organizing principles of life. Here we show that a form of symmetry called fibration can describe the nodes and links of biological networks and other social and infrastructure networks. This result broadly opens the way to understand how information-processing networks are assembled from the bottom up. (Significance)

Animate Cosmos > Information > Quant Info

correia, Adriana, et al. Putting a Spin on Language A Quantum Interpretation of Unary Connectives for Linguistic Applications. arXiv:2004.04128. We cite this entry by Utrecht University computational physicists including Michael Moortgat as an example of further insights into nature’s deepest textual character. See also Functional Evolution of Quantum Fields by Stefano Gogioso, et al at 2003.13271.

Extended versions of the Lambek Calculus used in computational linguistics rely on unary modalities for controlled applications of rules affecting word order and phrase structure. Our aim is to turn the modalities into first-class citizens of the vectorial interpretation. Building on our density matrix semantics, we extend the type system with an extra spin density matrix space. Our method introduces a way of simultaneously representing co-existing interpretations of ambiguous utterances, and provides a uniform framework for the integration of lexical and derivational ambiguity. (Abstract excerpt)

Unary means a mathematical operation consisting of or involving a single component or element.

Animate Cosmos > Thermodynamics > autocat

Xavier, Joana, et al. Autocatalytic Chemical Networks at the Origin of Metabolism. Proceedings of the Royal Society B. March, 2020. Early evolution theorists posted in Germany, Austria, the USA, New Zealand and Portugal including Stuart Kauffman continue to highlight the intrinsic significance of nature’s self-activation propensity to get life going. A graphic image of a global oxygen-independent prokaryotic metabolism displays many instances where biochemical catalysts are in effect. Might we at some point gain a wider appreciation of a autocatalytic ecosmos which organizes itself at each scale? Are we peoples now the intended selves as cosmic catalysts to begin its future genesis phase by our own initiative the next step by our own initiative?

Modern cells embody metabolic networks containing thousands of elements and form autocatalytic sets of molecules that produce copies of themselves. How these self-sustaining networks arose at life's origin is an open question. Here we identify reflexively autocatalytic food-generated networks (RAFs) as self-sustaining networks that collectively catalyse all their reaction. Our studies suggest that RAFs identify attributes of biochemical origins conserved in metabolic networks. RAFs are consistent with an autotrophic origin of metabolism and indicate that autocatalytic chemical networks preceded proteins and RNA in evolution. RAFs uncover intermediate stages in the emergence of metabolic networks, narrowing the gaps between early Earth chemistry and life. (Abstract excerpt)

Animate Cosmos > Fractal

Gaite, Jose. Scale Symmetry in the Universe. Symmetry. 12/4, 2020. As noted herein, when this section went online in 2004 only patchy inklings of self-similar cosmic structures could be found. In this essay a Polytechnic University of Madrid physicist (search) can well quantify and install a “multifractal cosmology” in extensive mathematical detail. The celestial reaches which firstly seem vastly opaque are now found to be suffused with a discernible patterning due an infinity of nested repetitions. The atomic quantum depths are likewise graced by a fractal fabric, along with the mesocosmic phases in between. Circa 2020, as a worldwise supermind proceeds to learns by itself, the ancient, tradition sense of an as above, so below correspondence is at last becomes verified and explained.

Scale symmetry is a fundamental symmetry of physics that seems however not to be fully realized in the universe. Here, we focus on the astronomical scales ruled by gravity, where scale symmetry holds and gives rise to a scale invariant distribution of matter, namely a true fractal geometry. A suitable explanation of the fractal cosmic mass distribution is provided by the nonlinear Poisson–Boltzmann–Emden equation. We study the fractal solutions of the equation and connect them with the statistical theory of random multiplicative cascades. The type of multifractal mass distributions so obtained agrees with results from the analysis of cosmological simulations and of observations of the galaxy distribution. (Abstract)

Simply put, if one finds an object of a given size, there must be similar objects of larger size. For example, take a cluster of galaxies; there must be similar superclusters of every possible size. Not surprisingly, the idea of a scale invariant structure of the universe on large scales is old, but its modern formulation had to await the advent of the appropriate description in the form of fractal geometry. Simple fractals are scale invariant and are indeed composed of clusters of clusters of down to the infinitesimally small. Naturally, in the universe, the self-similarity must stop at a scale about the size of galaxies, although it could be limitless towards the large scales, in principle. (1-2)

Animate Cosmos > exoearths

Gilbert, Gregory and Daniel Fabrycky. An Information Theoretic Framework for Classifying Exoplanetary System Architectures. arXiv:2003.11098. University of Chicago astronomers contribute to a growing sense that planetary arrays can be seen to exhibit innate mathematic patterns and regularities. By a novel application of nonlinear dynamics it is proposed that a sunny star with its orbital members could make up an active, composite system. Rather than looking at individual globes, the full orrery gains priority as a basic unit. In so doing they pose algorithmic, deterministic and aggregate modes of complexity drawn from disparate areas such as bird flocking, epidemic spreading, and message transmission. As this infinite frontier beckons, it would be a grand resolve of inklings from Kepler to Hubble that visible, audible harmonics and rhythms grace the celestial heavens.

We propose descriptive measures to characterize the arrangements of planetary masses, periods, and mutual inclinations within exoplanetary systems. They are based in complexity theory so to discern global, system-level trends of each architecture. Our approach considers all planets in a system simultaneously, facilitating both intra-system and inter-system analysis. We find that Kepler's high-multiplicity systems can be explained if most systems belong to a single intrinsic population. We confirm prior findings that planets within a system tend to be roughly the same size and coplanar. We apply this classification scheme to (1) quantify the similarity between systems, (2) resolve observational biases from physical trends, and (3) identify which systems to search for additional planets and where to look for these planets. (Abstract excerpt)

We look forward to putting the Solar System in a wider context - not only with regard to its planets system but also in relation to its giant moon systems. Our method provides a statistical target for planet formation models, no longer requiring the tuning of models to match just one system, e.g., the Solar System, TRAPPIST-1, or some other peculiar system of interest. Just as Galileo used the Jovian satellite system as a conceptual model for the Copernican Solar System, by looking at a much larger sample of exoplanetary systems, we can begin to see the system-level trends and whether such an identification has strong foundations. (17)

Cosmomics: A Survey of Nonlinear Complex Network Sciences

Cosmic Code

Rosas, Fernando, et al. Reconciling Emergences: An Information-Theoretic Approach to Identity Causal Emergence in Multivariate Data. arXiv:2004.08220. A seven person group based at University College London including Henrik Jensen (search FR, HJ) continue to finesse ways to express and appreciate nature’s evidentially orientated propensity for more complex animate forms to arise from lesser ones. Something seems to be going on by its own spontaneity, which can be noticed in widely disparate areas. But it would seem that efforts as this are still compromised by not being able to allow or consider an overall (genesis) reality from which this phenomena manifests and exemplifies. See also Conflicting Emergences by Federico Turkheimer, et al in Neuroscience and Biobehavioral Reviews (99/3, 2019).

The broad concept of emergence is vital to open scientific questions, yet few quantitative theories of emergent phenomena have been proposed. This article introduces a formal theory of causal emergence in multivariate systems, which studies the relationship between the dynamics of parts of a system and macroscopic features of interest. Our theory provides a quantitative definition of downward causation, and introduces a complementary modality which we refer to as causal decoupling. We illustrate our findings in a number of case studies, including Conway's Game of Life, Reynolds' flocking model, and neural activity as measured by electrocorticography. (Abstract excerpt)

Cosmic Code

Stavroglou, Stavros, et al. Unveiling Causal Interactions in Complex Systems. Proceedings of the National Academy of Sciences. 117/7599, 2020. Complexity theorists SS, University of Liverpool, A. A. Pantelous, Monash University, Eugene Stanley, Boston University and K. M. Zuev, CalTech contribute to current realizations of how universally manifest these iconic complex dynamics truly are.

Patterns in nature and society are described as complex systems due to their complicated, highly interconnected properties. Capturing the ebb and flow of their structures can aid better understandings of nature’s rules and social integrity. In this context, a methodology is proposed that unveils important operations and components of complex systems. Its wide utility is demonstrated by reconstructing a desert ecosystem, describing features of the alcoholic brain, and locating key assets in financial markets. (Significance)

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