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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 121 found.

Family Ecosmos: A MultiUniVerse to HumanVerse Procreative Spacescape

The Genesis Vision > Historic Precedents

Capanna, Ernesto. Theoria Generationis: The Ancient Roots of Modern Developmental Biology. Rendiconti Lincei. 29/1, 2018. The journal is a current publication by the Italian science institution Academia dei Linci, founded in 1603. From our 21st century vantage and vista, a Sapienzia University of Rome biohistorian can review the millennial course of incipient imaginations (by men about something of which we know nothing) of how embryonic life came to form and grow, as the Abstract cites. The mid and later 20th century genetics and molecular biology, along with the evo-devo reunion, at last establishes our human understandings as scientific knowledge.

The debate between to be and to become that opposed Parmenides and Heraclitus became converted, over the subsequent two millennia, into the dilemmas between preformation and epigenesis, and immanence and transcendence. Aristotle, enunciating his Theoria generationis, moved the controversy from of Metaphysics to Physics, which can be glimpsed as extending into Biology in (William) Harvey’s De Motu Cordis and Exercitatione de Generatione Animalium with the concept of ovism. In the same period, the spermatozoon (animalculum) was described, which became a counterpart with ovism. These theories thus formed a background of preformation or epigenesis. In the Enlightenment, the dispute over development was exposed to Cartesian rationalism and experimentation. (Auguste) Comte’s positivism led to material first causes, according to the laws of Physics and Chemistry. (Wilhelm) Roux’s Entwicklungsmechanick defined developmental biology from the later nineteenth century until the 1950s when Crick and Watson finally resolving the millenary conflict between preformation and epigenesis in molecular and genetics terms. (Abstract edits)

The Genesis Vision > Historic Precedents

Groys, Boris, ed. Russian Cosmism. Cambridge: MIT Press, 2018. An NYU professor of Russian Studies edits a collection of original writings from this 1890s to 1930s visionary movement which arose from the rich Slavic soil, mind and soul. With chapters from Alexander Bogdanov, Alexander Chizhevsky, Nikolai Fedorov, Valerian Muravyev, Alexander Svyatogor and Konstantin Tsiolkovsky, it is a companion to George Young’s 2012 The Russian Cosmists, herein. We note A Universal Productive Mathematics by Muravyev and The Future of Earth and Mankind by Tsiolkovsky. It’s fleeting, revolutionary moment evoked a numinous, panpsychic, animate milieu whence our fraught human phase is seen to yet have a phenomenal, creative significance. A century later, this website can report how a worldwise EarthKinder learning and achieving on her/his own could be of making this dream a reality.

The Genesis Vision > Historic Precedents

Seager, William. The Philosophical and Scientific Metaphysics of David Bohm. Entropy. 20/7, 2018. In these late 2010s whence olden machine views become bereft, a University of Toronto philosopher (search) reminds of the lifelong essence of this sage mystic physicist (1917-1992), whose name here brings some 27 citations. To wit, a seamlessly unified cosmos comes alive again from quantum realms suffused with consciousness to our integral human intelligence. I heard Bohm speak at Harvard and at Hampshire College, where students later sat at his feet in the presence of such wisdom.

Although David Bohm’s interpretation of quantum mechanics is sometimes thought to be a kind of regression towards classical thinking, it is in fact an extremely radical metaphysics of nature. The view goes far beyond the familiar but perennially peculiar non-locality and entanglement of quantum systems. In this paper, a philosophical exploration, I examine three core features of Bohm’s metaphysical views, which have been both supported by features of quantum mechanics and integrated into a comprehensive system. These are the holistic nature of the world, the role of a unique kind of information as the ontological basis of the world, and the integration of mentality into this basis as an essential and irreducible aspect of it. (Abstract)

Far from an attempt to return to something like a classical mechanistic world view of independent interacting particles, Bohm’s interpretation is philosophically extremely radical. Three key features of Bohm’s view are especially worth emphasizing: holism, information, and mind. (6)

The Genesis Vision > Historic Precedents

Thomas, Emily, ed. Early Modern Women on Metaphysics. Cambridge: Cambridge University Press, 2018. The editor, a University of Durham, UK historian and philosopher, has collected essays about these feminine scholars in their male 17th century milieu. Some chapters are Anne Conway on the Identity of Creatures over Time, Elizabeth of Bohemia as a Naturalistic Dualist and Margaret Cavendish (search) on the Metaphysics of Imagination. As Jessica Riskin’s history herein recounts, an abiding theme is an organically numinous procreation instead of a mindless materialist machine.

The work of women philosophers in the early modern period has traditionally been overlooked, yet their writing on topics such as reality, time, mind and matter holds valuable lessons for our understanding of metaphysics and its history. This volume of new essays explores the work of nine key female figures: Bathsua Makin, Anna Maria van Schurman, Elisabeth of Bohemia, Margaret Cavendish, Anne Conway, Damaris Cudworth Masham, Mary Astell, Catharine Trotter Cockburn, and Émilie Du Châtelet. Investigating issues from eternity to free will and from body to natural laws, the essays uncover long-neglected perspectives and demonstrate their importance for philosophical debates, both then and now.

The Genesis Vision > Historic Precedents

Russian Cosmism: Traditional Religion as Futuristic Science. www.college.harvard.edu/russian-cosmism-traditional-religion-futuristic-science. An April 2018 talk at Harvard Divinity School by the University of New England historian and author of The Russian Cosmists (2012 herein). Its capsule next cites this early 20th century breakout from feudal confines onto imagined universal human and Solar-Earth destinies. While drawn from a mythic spirituality, as opposed to Western fixations on a fallen past, human flaws and doomed planet, this alternative Eastern penchant envisioned infinite palliative and creative vistas. Instead of repentance, a participatory purpose is extolled as a great task to take up and fulfill this numinous genesis creation.

The HDS Theosophical Society presents a discussion on Russian Cosmism. Russian Cosmism emerged in the late nineteenth and early twentieth century as a tendency in Russian thought to view traditional Russian Orthodox Christianity as a futuristic task of social activism and scientific technology. Nikolai Fedorov, the first-and-foremost Russian Cosmist, transformed the central Christian doctrine of the Resurrection into an all-encompassing universal project featuring, among other things, space travel, colonization of other planets, genetic engineering, and the infinite extension of the human life span. Those who contributed to the Cosmist tendency include the poet and philosopher, Vladimir Solovyov; the founder of Russian space science Konstantin Tsiolkovsky; the Marxist economist and Orthodox theologian, Sergei Bulgakov; the polymath priest Pavel Florensky; and the renowned bio-geologist and theoretician of the noosphere, Vladimir Vernadsky.

The Genesis Vision > Current Vistas

Ellis, George. Top-Down Effects in the Brain. Physics of Life Reviews. Online July, 2018. The veteran University of Cape Town mathematical cosmologist and philosopher (search) continues his project to articulate how life’s evolutionary development in episodic stages from atomic matter to global societies ought to be understood by way of a bottom-up to an emergent top-down cerebral influence. In so many words, a retrospective self-realizing procreation is lately becoming evident whose aware cognizance can both be fed back to palliate and take up and over going forward. Inputs from Merlin Donald, Robin Dunbar, Karl Friston and others are availed so to view our welling social sapience as a participatory and anticipatory in kind.

The purpose of this investigation is to demonstrate that one is unable to understand the operation of the brain without taking top-down effects into account. This is demonstrated by looking in turn at evolutionary and developmental aspects, then at functional aspects related to sensory systems, learning processes, and motor processes that lead to action on the world. It is also clear in terms of the effects of a society on brains located in that society. The possibility of top down affects exists both because of multiple realisability of higher level processes at lower levels, and because lower level elements are adapted to perform their higher level functions. These top-down processes validate a non-reductionist approach to how the brain works. (Abstract)

The Genesis Vision > Current Vistas

Nicholson, Daniel and John Dupre, eds. Everything Flows: Towards a Processual Philosophy of Biology. Oxford: Oxford University Press, 2018. After some years of writing articles, Exeter University philosophers of science (search each) edit and introduce a large volume as a strong statement that prior fixations on particulate things, substantial isolate objects, need be supplanted by an emphasis upon dynamic waves of relational interactions between them. As the book blurb and abstract for their Introduction say, the general intent is to update and embellish A. N. Whitehead’s 1920s philosophy of an organismic nature into the 21st century. Typical entries are Ontological Tools for the Process Turn in Biology by Johanna Seibt, Objectcy and Agency by Denis Walsh, Symbiosis, Transient Biological Individuality, and Evolutionary Process by Frederic Bouchard, and Developmental Systems Theory as a Process Theory by Paul Griffiths and Karola Stotz.

Everything Flows explores the metaphysical thesis that the living world is not made up of substantial particles or things, as has often been supposed, but is rather constituted by processes. The biological domain is organised as an interdependent hierarchy of processes, which are stabilized and actively maintained at different timescales. Even entities that intuitively appear to be paradigms of things, such as organisms, are actually better understood as processes. Unlike previous attempts to articulate processual views of biology, which have tended to use Alfred North Whitehead's panpsychist metaphysics as a foundation, this book takes a naturalistic approach to metaphysics. Biology provides compelling reasons for thinking that the living realm is fundamentally dynamic, and that the existence of things is always conditional on the existence of processes. (Excerpt)

This chapter argues that scientific and philosophical progress in our understanding of the living world requires that we abandon a metaphysics of things in favour of one centred on processes. We identify three main empirical motivations for adopting a process ontology in biology: metabolic turnover, life cycles, and ecological interdependence. We show how taking a processual stance in the philosophy of biology enables us to ground existing critiques of essentialism, reductionism, and mechanicism, all of which have traditionally been associated with substance ontology. (Dupre & Nicholson intro)

A Planetary Prodigy: HumanKinder's Geonome Knowledge

A Learning Planet > Original Wisdom > Mythic Animism

Kohn, Eduardo. How Forests Think: Toward an Anthropology Beyond the Human. Berkeley: University of California Press, 2013. In the process of posting this reference sourcesite, we try to draw upon a widest array of scientific, philosophic, cultural, mystic and ethnic testimonies. A McGill University anthropologist who lived among Andean peoples here recovers and expresses an indigenous wisdom imbued by a human abidance at one with an animate, sapient environment. In unique fashion, modern academic themes such as semiotic signs, natural literacy, self-organizing emergent dynamics, and so on, gain a substantial enchantment in this arboreal milieu of human and non-human selves. This integral vista moves Kohn to witness a conducive cosmos suffused with sentient flora and fauna from life’s very origin.

Can forests think? Based on fieldwork among the Runa of Ecuador’s Upper Amazon, the author explores how Amazonians interact with the many creatures that inhabit one of the world’s most complex ecosystems. Whether or not we recognize it, our anthropological tools hinge on those capacities that make us distinctly human. However, when we turn our ethnographic attention to how we relate to other kinds of beings, their effect of divorcing us from the rest of the world breaks down. Avoiding reductionistic solutions, and without losing sight of how our lives and those of others are caught up in the moral webs we humans spin, this book skillfully fashions new kinds of conceptual tools from the strange and unexpected properties of the living world itself. In this groundbreaking work, Kohn takes a new and exciting direction–one that offers a more capacious way to think about the world we share with other kinds of beings. (Publisher edits)

A Learning Planet > Original Wisdom > Rosetta Cosmos

Mufwene, Salikoko, et al. Complexity in Language: Developmental and Evolutionary Perspectives. Cambridge: Cambridge University Press, 2017. A collection of chapters which consider an innate synthesis of these natural communicative aspects and affinities. It was conceived by Mufwene, the senior University of Chicago linguist (search), along with University of Lyon, France coeditors Christophe Coupe and Francois Pellegrino and draws on conferences and studies since 2011. A wide array includes Complex Adaptive Systems Approach to the Evolution of Language and the Brain by Thomas Schoenemann, A Complexity View of Ontogeny as a Window on Phylogeny by Barbara L. Davis, and Evolutionary Complexity of Social Cognition, Semasiographic Systems and Language by William Croft.

The question of complexity, as in what makes one language more 'complex' than another, is a long-established topic of debate amongst linguists. Recently, this issue has been complemented with the view that languages are complex adaptive systems, in which emergence and self-organization play major roles. However, few students of the phenomenon have gone beyond the basic assessment of the number of units and rules in a language (what has been characterized as 'bit complexity') or shown some familiarity with the science of complexity. This book reveals how much can be learned by overcoming these limitations, especially by adopting developmental and evolutionary perspectives. The contributors include specialists of language acquisition, evolution and ecology, grammaticization, phonology, and modeling, all of whom approach languages as dynamical, emergent, and adaptive complex systems.

A Learning Planet > Original Wisdom > Rosetta Cosmos

Yu, Shuiyuan, et al. Zipf’s Law in 50 Languages: Its Structural Pattern, Linguistic Interpretation, and Cognitive Motivation. arXiv:1807.01855. Communication University, Anhui Jianzhu University, and Zhejiang University linguists expand studies of this mathematical regularity that seems to suffuse and arrange all manner of textual scripts. It is here traced to and found in every speech and dialect, which serves to prove its deep natural inherence.

Zipf's law has been found in many human-related fields, including language, where the frequency of a word is persistently found as a power law function of its frequency rank. However, there is much dispute whether it is a universal law or a statistical artifact. To resolve this issue, our study conducted a large scale cross language investigation into Zipf's law. The statistical results show that Zipf's laws in 50 languages all share a 3-segment structural pattern, with each segment demonstrating distinctive linguistic properties. This finding indicates that this deviation is a fundamental and universal feature of word frequency distributions in natural languages, not a statistical error. A computer simulation based on the dual-process theory yields the same structural pattern, suggesting that Zipf's law of natural languages are motivated by common cognitive mechanisms. (Abstract edits)

Zipf's law is an empirical formula using mathematical statistics. It is named after the linguist George Kingsley Zipf (1902-1950), who first proposed it. Zipf's law states that given a large sample of words, the frequency of any word is inversely proportional to its rank in the frequency table. Thus the most frequent word will occur about twice as often as the second most frequent word, three times as often as the third most frequent word, etc. The same relationship occurs in many other rankings, unrelated to language, such as the population ranks of cities in various countries, corporation sizes, income rankings, etc. (Simple English Wikipedia)

A Learning Planet > The Spiral of Science

Dark Energy Survey Collaboration. www.darkenergysurvey.org/collaboration-and-sponsors. A composite website for studies of Galaxy Clusters, Supernovae, Weak Lensing, Theory, Milky Way, Large Structure, Redshifts, and much more as an example of the 21st century shift and advance to collective worldwise scientific endeavors.

DES is an international project with over 400 scientists from 25 institutions in 7 countries, who have come together to carry out the survey. Our team comprises university faculty and researchers, laboratory and observatory staff scientists, post-doctoral researchers, and graduate and undergraduate students. The support staff are also a critical part of the team: they make it possible for our scientists to travel to Chile to observe for the survey and to travel to conferences and collaboration meetings to discuss the latest results. (Website)

A Learning Planet > The Spiral of Science

Goodman, Alyssa, et al. New Thinking on and with Data Visualization. arXiv:1805.11300. AG, Harvard University, Michelle Borkin, Northeastern University and Thomas Robitaille, Aperio Software, UK discuss how to better use and enhance graphic Internet presentations of scientific findings by small and large research teams that collaboratively use masses of big data to study where and who we are from cosmic to cardiac phases. We add author bios to sample these worldwide exploratory frontiers.

As the complexity and volume of datasets have increased along with the capabilities of modular, open-source, easy-to-implement, visualization tools, scientists' need for, and appreciation of, data visualization has risen too. Our aim in this paper is to spark conversation amongst scientists, computer scientists, outreach professionals, educators, and graphics and perception experts about how to foster flexible data visualization practices that can facilitate discovery and communication at the same time. We present an example using the glue visualization environment to demonstrate how the border between explanatory and exploratory visualization is easily traversed. The linked-view principles as well as the actual code in glue are easily adapted to astronomy, medicine, and geographical information science - all fields where combining, visualizing, and analyzing several high-dimensional datasets yields insight. (Abstract excerpt)

In my Astronomy research, I am interested in how the gas in galaxies constantly re-arranges itself over huge time spans to form new stars. I have also had a long-standing interest in data visualization, and in improving the use of computers in all aspects of scientific research. I teach a course at Harvard called "The Art of Numbers," and I am very involved in the WorldWide Telescope Project, which brings astronomical data to everyone through an interface that demonstrates data delivery for the 21st Century of "e-Science." (A. Goodman website)

Michelle Borkin works on the development of novel visualization techniques and tools to enable new insights and discoveries in data. She works across disciplines to bring together computer scientists, doctors, and astronomers to collaborate on new analysis and visualization techniques, and cross-fertilize techniques across disciplines. Her research resulted in the development of novel computer assisted diagnostics in cardiology, scalable visualization solutions for large network data sets, and novel astrophysical visualization tools and discoveries. (M. Borkin website)

Tom Robitaille is a director and founder of Aperio Software. Following a PhD in Astrophysics from the University of St Andrews, he took a postdoctoral fellowship at the Harvard-Smithsonian Center for Astrophysics, and led a research group at the Max Planck Institute for Astronomy. He then moved to the UK to become a freelance developer for scientific open source projects, and co-founded Aperio Software. Tom is an active member of the scientific open-source community - he is one of the coordinators and lead developers of the Astropy project, as well as the lead developer of the glue package for multi-dimensional linked data exploration. (A. Software website)

A Learning Planet > The Spiral of Science

Mryglod, Olesya. Scientometric Analysis of Condensed Matter Physics Journal. arXiv:1806.09989. We cite this posting by a National Academy of Sciences of Ukraine, Lviv, information researcher about this Ukrainian scientific publication as an example of how human sapience will pursue natural knowledge whenever and wherever it can. As the quotes and article conveys, over these years this project of cosmic quantification has from an individual, local phase to an instant global collaboration. See also Data Mining in Scientometrics by the author with Yurij Holovatch and Ralph Kenna at arXiv:1807.03353. One might further note that while the western Ukraine can continue such works, the eastern part of the country is beset by and trapped in violent ethnic conflict, a capsule of our civilizational race between palliative discovery and apocalypse.

The paper is dedicated to 25th anniversary of Condensed Matter Physics journal (CMP). It contains the results of comprehensive analysis of different journal-related data. CMP co-authorship relationships are studied analysing the collaboration network. Its cumulative statical and dynamical properties as well as the structure are discussed. The international contribution to the journal is assessed using the authors' affiliation data. The network of the countries collaborating within CMP is considered. Another kind of network is used to investigate the topical spectrum: two PACS indices assigned to one paper are connected by link here. The structure of the most significant interdisciplinary connections is analysed. Finally, the download statistics and the corresponding records of the papers' citations are used to discuss the journal's impact. (Abstract)

25 years ago, in 1993, the first issue of Condensed Matter Physics (CMP) journal was printed. Established as three-lingual institutional edition aimed at publishing the results of the research primarily in condensed matter theory representing mainly west Ukrainian authorship, it developed into an authoritative international journal with a powerful expert pool and wide geography. Modern CMP journal not only exhaustively covers the primarily chosen topical directions but also publishes the results in adjacent areas. Today it is recognized by leading scientometric services and covered by information resources and database. (1)

A Learning Planet > The Spiral of Science > deep

Baldi, Pierre. Deep Learning in Biomedical Data Science. Annual Review of Biomedical Data Science. Vol. 1, 2018. A UC Irvine, School of Information and Computer Sciences, Institute for Genomics and Bioinformatics, researcher introduces ways that artificial neural network advances can serve pattern finding and diagnostic needs across many realms of big biological and medical data analysis and synthesis.

Since the 1980s, deep learning and biomedical data have been coevolving and feeding each other. The breadth, complexity, and rapidly expanding size of biomedical data have stimulated the development of novel deep learning methods, and application of these methods to biomedical data have led to scientific discoveries and practical solutions. This overview provides technical and historical pointers to the field, and surveys current applications of deep learning to biomedical data organized around five subareas, roughly of increasing spatial scale: chemoinformatics, proteomics, genomics and transcriptomics, biomedical imaging, and health care. (Abstract)

A Learning Planet > The Spiral of Science > deep

Sheneman, Leigh and Arend Hintze. Evolving Autonomous Learning in Cognitive Networks. Nature Scientific Reports. 7/16712, 2017. Michigan State University computer scientists post an example of the on-going revision of artificial intelligence, broadly conceived, from decades of dead mechanisms to be in vital accord with evolutionary cerebral architectures and activities. See also The Role of Conditional Independence in the Evolution of Intelligence Systems from this group including Larissa Albantakis at arXiv:1801.05462.

There are two common approaches for optimizing the performance of a machine: genetic algorithms and machine learning. A genetic algorithm is applied over many generations whereas machine learning works by applying feedback until the system meets a performance threshold. These methods have been previously combined, particularly in artificial neural networks using an external objective feedback mechanism. We adapt this approach to Markov Brains, which are evolvable networks of probabilistic and deterministic logic gates. We show that Markov Brains can incorporate these feedback gates in such a way that they do not rely on an external objective feedback signal, but instead can generate internal feedback that is then used to learn. This results in a more biologically accurate model of the evolution of learning, which will enable us to study the interplay between evolution and learning. (Abstract)

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