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A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
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Displaying entries 1 through 15 of 118 found.


The Natural Genesis Vision

The Genesis Vision > Historic Precedents

Johnson, George. Murray Gell-Mann, Who Peered at Particles and Saw the Universe. New York Times. May 25, 2019. This is an obituary by a science writer for the Nobel laureate polymath physicist (search) who has passed at age 89. Beyond finding and naming quarks, he is known for contributions from archaeology and linguistics to complex system theories at Santa Fe Institute. His 1994 work The Quark and the Jaguar helped establish the field of complex adaptive system studies. We quote a line as a capsule of 20th and 21st century science in which Murray avers the real presence of independent, generative principles. Murray Gell-Mann was a true iconic genius who merited a May 29 essay The Physicist Who Made Sense of the Universe in NY Times by the cosmologist Sean Carroll. But his books such as The Big Picture (2016) tout a quite opposite view that no intrinsic laws exist on their own. Here is the dichotomy - to be or not to be - that so troubles and daunts us today. In regard, Natural Genesis seeks to document humanity’s project in search of a mathematical source that is wholly repetitive at each and every realm. Could our late 2019 year begin to be the “someday” to come? After 8,000 annotated entries cited herein, this achievement may at last be evident.

In a talk (SFI) in 2007, Dr. Gell-Mann compared the last century of physics to pulling back the skins of an onion, finding at every layer that the same mathematics applies – and hinting that an objective reality can conceivably be explained someday by a universal set of laws.

The Genesis Vision > Historic Precedents

Sole, Ricard, et al. Criticality and Scaling in Evolutionary Ecology. Trends in Ecology and Evolution. 14/4, 1999. Some twenty years ago, this collaboration of RS, Susanna Manrubia, Micheal Benton, Stuart Kauffman, and Per Bak offered an early, prescient glimpse of a repetitive natural hierarchy composed of a reciprocal balance at each scale. Circa 2019, as this website documents, this once and future revelatory vision is now well confirmed.

Fluctuations in ecological systems are known to involve a wide range of spatial and temporal scales, often displaying self-similar (fractal) properties. Recent theoretical approaches are trying to shed light on the nature of these complex dynamics. The results suggest that complexity in ecology and evolution comes from the network-like structure of multispecies communities that are close to instability. If true, these ideas might change our understanding of how complexity emerges in the biosphere and how macroevolutionary events could be decoupled from microevolutionary ones. (Abstract)

The Genesis Vision > Current Vistas

Persson, Erik, et al. How Will the Emerging Plurality of Lives Change How We Conceive of and Relate to Life? Challenges. 10/1, 2019. As the Abstract explains, a dozen Swedish research scholars took part in an exploratory project to try to get our minds and hearts around imminent capabilities to conceive and begin a “second origin of life.” This is an unexpected, august opportunity which is actually there for the asking and respectful doing. As an initial report, it scopes out educational events, a summary book, public programs and more. Going forward, studies might consider astrolife via biosignatures, artificial and robotic intelligence, synthetic biomolecules and quite more. But in the larger advent of our phenomenal geonate moment, the epic appearance of nothing less than a Second Genesis ought to be appreciated.

The project “A Plurality of Lives” was funded and hosted by the Pufendorf Institute for Advanced Studies at Lund University, Sweden. The aim of the project was to better understand how a second origin of life, either in the form of a discovery of extraterrestrial life, life developed in a laboratory, or machines equipped with abilities previously only ascribed to living beings, will change how we understand and relate to life. Because of the inherently interdisciplinary nature of the project aim, the project took an interdisciplinary approach with a research group made up of 12 senior researchers representing 12 different disciplines. The project resulted in a joint volume, an international symposium, several new projects, and a network of researchers in the field, all continuing to communicate about and advance the aim of the project. (Abstract)

The Genesis Vision > Current Vistas

Wagner, Andreas. Life Finds a Way: What Evolution Teaches Us about Creativity. New York: Basic Books, 2019. The University of Zurich evolutionary biologist (search) follows up his Arrival of the Fittest (2015) by an emphasis on how life’s genetic advance might best be seen to take place on an active landscape of hills, valleys and mountains, as first cited by Sewall Wright in 1932. An appreciation of its deep potential to foster novel, viable improvements for better survivability and existence just now becomes evident. The presence of self-organizing energies from Ilya Prigogine and other forces are also seen at work. Later chapters then offer how these 21st century insights can aid the education and inspiration of children and onto innovative global cultures.

In these explorations I have discovered astonishing similarities between natural and human creativity. First, it is about things Charles Darwin could not know – that natural selection can face obstacles that it alone cannot overcome. And it explains the mechanisms of evolution that can overcome them. Second, it illustrates the similarities between human creativity and a modern, segmented view of Darwinian evolution. These similarities are not only numerous but also deep, as psychological, historical, and biological research will later testify. (4)

Evolution can manipulate such recipes easily because any one regulator recognizes not just one but hundreds of different DNA words. Together, all those DNA words – each a special kind of genotype – form a landscape of gene regulation. (50) The DNA text copied in a duplication may comprise a few letters, thousands of letters, or large parts of a chromosome with millions of letters. (74)

In Life Finds a Way, biologist Andreas Wagner reveals the deep symmetry between innovation in biological evolution and human cultural creativity. Rarely is either a linear climb to perfection--instead, "progress" is typically marked by a sequence of peaks, plateaus, and pitfalls. For instance, in Picasso's forty-some iterations of Guernica, we see the same combination of small steps, incessant reshuffling, and large, almost reckless, leaps that characterize the way evolution transformed a dinosaur's grasping claw into a condor's soaring wing. By understanding these principles, we can also better realize our own creative potential to find new solutions to adversity. (Publisher)

In evolutionary biology, fitness landscapes or adaptive landscapes are used to visualize the relationship between genotypes and reproductive success. It is assumed that every genotype has a well-defined replication rate (often referred to as fitness). This fitness is the "height" of the landscape. Genotypes which are similar are said to be "close" to each other, while those that are very different are "far" from each other. The set of all possible genotypes, their degree of similarity, and their related fitness values is then called a fitness landscape. (Wikipedia)

Planetary Prodigy: A Global Sapiensphere Learns by Her/His Self

A Learning Planet > Original Wisdom > The Book of Nature

Van Schaik, Carel and Kai Michel. The Good Book of Human Nature: An Evolutionary Reading of the Bible. New York: Basic Books, 2016. From our global vantage, a senior University of Zurich anthropologist and a science writer achieve a respectful view of biblical writings in five parts from Genesis: When Life Became Difficult to The New Testament: Salvation. By this unique survey, a diary-like record of humanity’s passage into sedentary tribal groupings trying to survive, procreate, and gain some meaningful sense via nascent cultures becomes evident. Our interest is a final chapter The Book of Nature: God’s Second Bible whence this endeavor from Greece, Augustine and famously Galileo that an Earthly abide and starry raiment, by way of scientific inquiry, could also be of revelatory import. Some centuries later, while mathematics and geometry are well advanced, lately as algorithms, the perception has been set aside and ruled out. But this resource website into our worldwise, multiVerse century, as we near the 2020s, seeks to revive the quest by way of a genetic scriptome that we participant peoples are made and meant to read.

The Bible is the bestselling book of all time, but so far no one has read it as a chronicle of our ancestors' attempts to cope with the trials and tribulations of life on Earth. Evolutionary anthropologist Carel van Schaik and historian Kai Michel contend that it was written to make sense of the epic transition from egalitarian hunter-gatherer to agricultural societies. Religion arose as a strategy to cope with epidemic disease, violence, inequality, and injustice that confronted us when we abandoned the bush. By way of cognitive science, evolutionary biology, archeology, and religious history, van Schaik and Michel take us on a journey from the Garden of Eden to Golgotha. The Book of Genesis marked the emergence of private property - one can no longer take the fruit off any tree. This novel perspective allows unexpected secrets to be drawn from Adam and Eve, Cain and Abel, Abraham and Moses, Jesus of Nazareth and Mary. The Bible may have a dark side, but by this view proves to be a hallmark of human indefatigability.

A Learning Planet > Original Wisdom > Rosetta Cosmos

Coecke, Bob. The Logic of Quantum Mechanics. Jennifer Chubb, et al, eds. Logic and Algebraic Structures in Quantum Computing. Cambridge: Cambridge University Press, 2016. We cite this chapter by the Oxford computer theorist because it advances how this basic physical realm can be seen to possess a literate, compositional quality.

We put forward a new take on the logic of quantum mechanics, following Schrödinger's point of view that it is composition which makes quantum theory what it is, rather than its particular propositional structure due to the existence of superpositions. This gives rise to an intrinsically quantitative kind of logic, which truly deserves the name ‘logic’ in that it also models meaning in natural language, the latter being the origin of logic, that it supports automation, the most prominent practical use of logic, and that it supports probabilistic inference. (Abstract)

A Learning Planet > Original Wisdom > Rosetta Cosmos

Coecke, Bob. The Mathematics of Text Structure. arXiv:1904.03478. The Oxford University computer scientist (search) leads a collaborative group there and beyond which studies in part how written literature is suffused by independent mathematical forms and narratives. This deep rooting can be extended even into physical quantum realms, as Diederik Aerts’ Brussels project (search), and Natural Language Processing are also finding. A prime basis for Coecke has been the lifetime work of the late McGill University Joachim (Jim) Lambek (1922-2014) who came to conceive “a compositional algebraic approach to grammar.” This is a subtitle for his 100+ page paper, From Word to Sentence, available at math.mcgill.ca/barr/lambek/pdffiles/2008lambek.pdf. BC, JL, and others collaborated around this sense of a compositional cosmos that can in some way be considered and treated as having a meaningful, textual content.

In previous work we gave a mathematical foundation, referred to as DisCoCat, for how words interact in a sentence in order to produce the meaning of that sentence. To do so, we exploited the perfect structural match of grammar and categories of meaning spaces. Here, we give a mathematical foundation, referred to as DisCoCirc, for how sentences interact in texts in order to produce the meaning of that text. We revisit DisCoCat: while in the latter all meanings are states, in DisCoCirc word meanings are types of which the state can evolve, and sentences are gates within a circuit which update the meaning of words. While the developments in this paper are independent of a physical embodiment (cf. classical vs. quantum computing), both the compositional formalism and suggested meaning model are highly quantum-inspired, and implementation on a quantum computer would come with a range of benefits. (Abstract excerpt)

A Learning Planet > Original Wisdom > Rosetta Cosmos

Markovic, Rene, et al. Applying Network Theory to Fables: Complexity in Slovene Belles-Lettres. Journal of Complex Networks. 7/1, 2019. University of Maribor, Slovenia theorists including Matjaz Perc show how nature’s common nonlinear geometry and dynamics can even be applied to any corpora of textual literature. And by turns if our conversant and written language are parsable by the same complex network systems as every other realm, it could strongly impart a narrative character to this universe to human procreation. That is to say, an organic doubleness of genomic script and score for this phenotypic genesis becomes increasingly evident.

Words are the building blocks of human communication. They are arranged in sentences in a non-trivial and universal way, which implies the existence of fundamental organizational principles that have shaped language development. One example is Zipf’s law which says that the frequency of word occurrence is generally an inverse power-law function of its rank. In our article, we study the structure and complexity of texts in Slovene belles-lettres, with an emphasis on differences across age groups. We show that the co-occurrence connectivity of words forms a complex and heterogeneous network characterized by an efficient transfer of information. We show that with the increasing age of readers, the length of texts and of words, along with complex social interactions between literary characters, all increase. Taken together, we demonstrate that network theory enables an in-depth theoretical exploration of Slovene belles-lettres, with clear distinctions in statistical properties between age groups, thus bridging art and exact sciences in a mutually rewarding way. (Abstract excerpt)

A Learning Planet > Original Wisdom > World Philosophy

McLeish, Tom. The Poetry and Music of Science. Oxford: Oxford University Press, 2019. The York University, UK, Chair of Natural Philosophy, a newly created position to recover in the 21st century this original Newtonian pursuit, in regard considers ways to join artistic and scientific creativities. This revived two culture synthesis of “emotion and reason” can aspire to a “cortical lateralization” per Iain McGilchrist (2009) so as to join right and left brain complements in holistic unison.

A Learning Planet > The Spiral of Science

Astro2020: Decadal Survey on Astronomy and Astrophysics. sites.nationalacademies.org/SSB/CurrentProjects/SSB_185159. his is the main website for the National Academies of Sciences, Engineering and Medicine, Space Studies Board request for wide-ranging cosmological projects across the next 10 years. In regard, from January to May 2019 over 300 proposals were posted on the arXiv e-print site, just search Astro2020. As a small sample, we note The Next Decade of Astroinformatics, Toward Finding Earth 2.0, The Super Earth Opportunity, Stellar Characterization for Holistic Planetary Habitability, Tracing the Origin of Seed Black Holes, Quantum Chemistry for Exoplanetary Science, Cosmic Dawn and Reionization, Mapping Galactic Clusters, and every other astro-aspect as humankinder begins to carry out a genesis universe’s way of necessarily quantifying itself. The entries are often from a nominal group of 10 to 50 co-authors. Altogether a good example of nascent global science going on via its own many agent self-organization.

A Learning Planet > The Spiral of Science

Bauer, Amanda, et al. Petabytes to Science. arXiv:190505116. We cite this 80 page, 27 author posting including Alexander Szalay as an example going forward of a worldwide, collaboration necessary to handle data inputs at this 1 million gigabyte scale. Akin to the USA Astro2020 project (herein) its cosmic vista surveys planetary systems, stellar evolution, messenger astrophysics, galactic clusters, fundamental physics and about every aspect as our yet unknown and unnamed person/sapiensphere begins to carry out the universal self-quantification that a genesis procreation seems to require. The quotes describes a meeting held in regard.

A Kavli foundation sponsored workshop on the theme Petabytes to Science was held in February 2019 in Las Vegas. The aim of this workshop was to discuss important trends and technologies which may support astronomy. We also tackled how to better shape the workforce for the new trends and how we should approach education and public outreach. This document was coauthored during the workshop and edited in the weeks after. It comprises the discussions and highlights many recommendations which came out of the workshop. We shall distill parts of this document and formulate potential white papers for the decadal survey.

A Learning Planet > The Spiral of Science

Dworkin, Jordan, et al. The Emergent Integrated Network Structure of Scientific Research. PLoS One. 14/4, 2019. A guiding premise for this website is a worldwide intellectual endeavor which is lately gaining revolutionary knowledge by its own sapient self. Its mission is to gather, report and document copious findings from cosmos to creativity. Here University of Pennsylvania neuroresearchers JD, Russ Shinohara, and Danielle Bassett indeed perceive an independent global learning process via many cumulative personal contributions. From their network neuroscience expertise, the dynamic process may appear to take on a cerebral topology. In regard, the prescient noosphere of Vladimir Vernadsky, Pierre Teilhard, and others in the last century seems at last in full manifestation.

Scientific research is often seen as individuals and small teams striving for disciplinary advances. Yet as a whole, this endeavor more closely resembles a complex system of natural computation, in which information is obtained, generated, and disseminated more effectively than by isolated individuals. But the structure of this integrated, innovative landscape of scientific ideas is not well understood. Here we use network science to map the landscape of interconnected topics covered in the multidisciplinary journal Proceedings of the National Academy of Sciences since 2000. In regard, nodes represent topics of study and edges give the degree to which they occur in the same papers. The network displays small-world architecture, with dense connectivity within scientific clusters and sparse connectivity between clusters. Broadly, this work suggests that complex and dynamic patterns of knowledge emerge from scientific research, and that structures reflecting intellectual integration may be beneficial for obtaining scientific insight. (Abstract excerpt)

A Learning Planet > The Spiral of Science

Krenn, Mario and Anton Zeilinger. Predicting Research Trends with Semantic and Neural Networks with an Application in Quantum Physics. arXiv:1906.06843. University of Vienna, Center for Quantum Science and Technology physicists MK, now a postdoc (search) at the University of Toronto, and AZ, an esteemed theorist since the 1970s (see Wikipedia and his website), apply their polymath acumen to this subject field. Circa 2019, it becomes evident that global scientific endeavors are going on by own their worldwide selves, independent of individual contributors. A Semantic Network software program is proposed by which to data mine the vast resultant literature such as this eprint site. An actual cerebral process (sapiensphere) coming to her/his own knowledge remains to be seen. With daily threats of a climate, and/or nuclear Armageddon, an agreed advent of a planetary phase of salutary edification, a natural discovery in our midst, is vitally necessary. See also Quantum Teleportation in High Dimensions by the authors and Chinese colleagues at 1906.09697.

The growing number of publications in all scientific disciplines can no longer be comprehended by a single human person. As a consequence, researchers have to specialize in sub-disciplines, which makes it challenging to uncover connections beyond the own field of research. In regard, access to structured knowledge from a large document corpus could help advance the frontiers of science. Here we demonstrate a method to build a semantic network from scientific literature, which we call SemNet. We use SemNet to predict future trends and to inspire new seeds of ideas in science. In SemNet, scientific knowledge is represented as an evolving node/link network using the content of 750,000 scientific papers published since 1919. Finally, we consider possible future developments and implications of our findings. (Abstract excerpt)

A Learning Planet > The Spiral of Science

Krenn, Mario, et al. SELFIES: A Robust Representation of Semantically Constrained Graphs with an Example Application in Chemistry. arXiv:1905.13741. MK is now with coauthor Alan Aspuru-Guzik’s University of Toronto group. The Semantic Network machine learning approach he developed in Vienna with Anton Zeilinger (search) is employed along with graphic plots so as to distill themes, paths, and advances as the field of chemical research proceeds as a worldwide endeavor. The presence of a global activity going on by itself is quite evident, which is an historic shift beyond individuals and teams.

Graphs are ideal representations of complex, relational information. Their applications span diverse areas of science and engineering. Recently, many of these examples turned into the spotlight as applications of machine learning (ML). While much progress has been achieved in the generation of valid graphs for domain- and model-specific applications, a general approach has not been demonstrated. Here, we present a sequence-based, robust representation of semantically constrained graphs, which we call SELFIES (SELF-referencIng Embedded Strings), based on a Chomsky type-2 grammar, augmented with two self-referencing functions. SELFIES are not limited to the structures of small molecules, and we show how to apply them to two other examples from the sciences: representations of DNA and interaction graphs for quantum mechanical experiments. (Abstract excerpt)

A Learning Planet > The Spiral of Science > deep

Schuchardt, Jan, et al.. Learning to Evolve. arXiv:1905.03389. Technical University of Munich informatics researchers advance ways to employ evolution-based algorithms which in turn shows how life’s long development can appear as a computational process. From our late vantage, it may seem that a cosmic genesis needs to pass on this genetic-like agency to our own continuance.

Evolution and learning are two of the fundamental mechanisms by which life adapts in order to survive and to transcend limitations. These biological phenomena inspired successful computational methods such as evolutionary algorithms and deep learning. Evolution relies on random mutations and on random genetic recombination. Here we show that learning to evolve, i.e. learning to mutate and recombine better than at random, improves the result of evolution in terms of fitness increase per generation and even in terms of attainable fitness. We use deep reinforcement learning to learn to dynamically adjust the strategy of evolutionary algorithms to varying circumstances. (Abstract)

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