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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
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Recent Additions: New and Updated Entries in the Past 60 Days
Displaying entries 1 through 15 of 71 found.

The Genesis Vision: A Creative Organic Universe

The Genesis Vision > Historic Precedents

Urbas, Joseph. Emerson’s Metaphysics: A Song of Laws and Causes. Lanham, MD: Lexington Books, 2016. The University of Bordeaux-Montaigne philosopher well revives the essence of Ralph Waldo Emerson (1803-1882), the premier American 19th century Transcendentalist thinker. But as the quote advises, in that bygone age in contrast to our own, a numinous presence abided. A creative nature was involved in a continuum of “causation and continuity, a direction and flow,” broadly from matter to spirit. If this perennial vision can be properly seen and expressed, for RWE it can provide vital guidance and meaning for the course of human lives.

This book gives the first complete, fully historicized account of Emerson's metaphysics of cause and effect and its foundational position in his philosophy as a whole. Urbas tells the story of the making of a metaphysician and in so doing breaks with the postmodern, anti-metaphysical readings that have dominated Emerson scholarship since his philosophical rehabilitation began in late 1970s. This is an intellectual biography of Emerson the metaphysician but also a chapter in the cultural life-story of a concept synonymous, in the Transcendentalist period, with life itself, the story of the principle at the origin of all being and change. Emerson's Metaphysics proposes an account of Emerson's metaphysical thought as it unfolds in his writings, as it informs his philosophy as a whole, and as it reflects the intellectual and religious culture in which he lived and moved and had his being.

The Genesis Vision > Current Vistas

Denton, Michael. Evolution: Still a Theory in Crisis. Seattle: Discovery Institute, 2016. The emeritus University of Otago, New Zealand, microbiologist now resides in Seattle where he associated with this group. While an Intelligent Design locus, it gives Denton, a respected scientist, a space to present a minority, correct view upon life’s developmental course to human beings. The well-researched book, which updates and affirms his 1988 volume, puts the conceptual options into clear contrast. The neo-Darwinian paradigm clings to a gradual adaptive or “functionalist” view due to natural selection alone, with nothing else is going on. The once and future alternative, from Richard Owen’s (1804-1892) 19th century mindset to 21st century autocatalytic self-organization, evo-devo homologies, epigenetics and more, is a “structuralist” version. This latter reading can then be braced by an inherent cosmic and Earthly creative guidance, prior to selective forces. By an allowance of something more going on by such intrinsic agencies, with no mention of religion, a quite positive vision of creaturely life and precious persons is availed. See also MDs 2013 article The Place of Life and Man in Nature in the online journal Bio-Complexity (2013) as an update of his 1998 book Nature’s Destiny, and Updating Darwin: Information and Entropy Drive the Evolution of Life by Irun Cohen (search 2016) another senior biologist of similar mind.

More than thirty years after his landmark book Evolution: A Theory in Crisis (1985), biologist Michael Denton revisits his earlier thesis about the inability of Darwinian evolution to explain the history of life. He argues that there remains “an irresistible consilience of evidence for rejecting Darwinian cumulative selection as the major driving force of evolution.” From the origin of life to the origin of human language, the great divisions in the natural order are still as profound as ever, and they are still unsupported by the series of adaptive transitional forms predicted by Darwin. In addition, Denton makes a provocative new argument about the pervasiveness of nonadaptive order throughout biology, order that cannot be explained by the Darwinian mechanism.

The Genesis Vision > Current Vistas

Seligman, Martin, et al. Homo Prospectus. New York: Oxford University Press,, 2016. With Peter Railton, Roy Baumeister, and Chandra Sripada, senior philosophical psychologists propose an historic adjustment in psychological studies from past and present maladies to envision a beneficial futurity. By this reprise, a positive vista of empathic “human flourishing” in community has a potential to release and invigorate a laden world culture.

We are misnamed. “Wise man” is the intended meaning of Homo sapiens, but in contrast to Homo habilis “handy man,” and Homo erectus “upright man,” our name is not a description but only an aspiration. And hardly one that we all achieve. If it is not wisdom, what is it that Homo sapiens actually does so well that no other species even approaches? Language, tools, killing, rationality, cooperation – to name a few – have been proposed. But closer examination of what other mammals, birds and social insects can do causes us to doubt our uniqueness. So we believe that the unrivaled human ability to be guided by imagining alternatives stretching into the future – “prospection” – uniquely describes Home sapiens. (ix)

A Learning Planet: An Integral Knowledge by Humankind

A Learning Planet > Original Wisdom > Rosetta Cosmos

Altmann, Eduardo, et al. Generalized Entropies and the Similarity of Texts. Journal of Statistical Mechanics. 014002, 2017. MPI Physics of Complex Systems researchers proceed to reconceive literary corpora by way universal nonlinear principles, often using the phrase Natural Language. If our speech and script indeed has a deep rooting in dynamic physical structures (see Feistel), might we ask what script is a genesis cosmos written in? And could its natural genetic code be known as Genlish or Genelish?

We show how generalized Gibbs–Shannon entropies can provide new insights on the statistical properties of texts. The universal distribution of word frequencies (Zipf's law) implies that the generalized entropies, computed at the word level, are dominated by words in a specific range of frequencies. Here we show that this is the case not only for the generalized entropies but also for the generalized (Jensen–Shannon) divergences, used to compute the similarity between different texts. This finding allows us to identify the contribution of specific words (and word frequencies) for the different generalized entropies and also to estimate the size of the databases needed to obtain a reliable estimation of the divergences. We test our results in large databases of books (Google n-gram database) and scientific papers (Web of Science). (Abstract)

A Learning Planet > Original Wisdom > Rosetta Cosmos

Esposti, Mirko, et al, eds. Creativity and Universality in Language. Switzerland: Springer International, 2016. In a Lecture Notes in Morphogenesis series, European systems linguists Esposti with coeditors Eduardo Altmann and Francois Pachet report creative consistencies across literary media, broadly conceived, which are then seen to have affinities to physical realms. Some chapters are Statistical Laws in Linguistics, Complexity and Universality in the Long-Range Order of Words, and Computational Approaches to Human Creativity.

This book collects research contributions concerning quantitative approaches to characterize originality and universality in language. Creativity might be considered as a morphogenetic process combining universal features with originality. While quantitative methods applied to text and music reveal universal features of language and music, originality is a highly appreciated feature of authors, composers, and performers. In this framework, the different methods of traditional problems of authorship attribution and document classification provide important insights on how to quantify the unique features of authors, composers, and styles. Such unique features contrast, and are restricted by, universal signatures, such as scaling laws in word-frequency distribution, entropy measures, long-range correlations, among others. Innovation in language becomes relevant when it is imitated and spread to other speakers and musicians. Modern digital databases provide new opportunities to characterize and model the creation and evolution of linguistic innovations on historical time scales, a particularly important example of the more general problem of spreading of innovations in complex social systems.

A Learning Planet > Original Wisdom > The Book of Nature

Schor, Esther. Bridge of Words: Esperanto and the Dream of a Universal Language. New York: Metropolitan Books, 2016. In a unique work akin to George Steiner’s After Babel, the Princeton University professor of English travels the Poland to Kazakhstan to Serbia, 19th to 21st century, nexus of this prime endeavor to achieve a common vernacular for all peoples. A compelling story of people and places engaged in a hopeful betterment, whose latest frontier may be a cooperative village in Brazil. As with Steiner, Umberto Eco, Jorge Borges, and many over the centuries, the deep incentive is to somehow both glimpse nature’s original numinous script so as to reveal, heal and unify a suffering humanity.

A Learning Planet > Original Wisdom > The Book of Nature

Steiner, George. After Babel. New York: Oxford University Press, 1975. This classic of academic scholarship remains one of the best engagements with our deep human penchant for diverse linguistic conversation and discursive textuality. Its wide-ranging, lucid survey from an original Logos and Kabbalistic emblems to G. Liebniz’s universal characters, J. Borges’ library and much more conveys a constant quest to recover a once and future Adamic Ur-Sprache.

A Learning Planet > Original Wisdom > The Book of Nature

Stroumsa, Guy. The Scriptural Universe of Ancient Christianity. Cambridge: Harvard University Press, 2016. The Hebrew University of Jerusalem emeritus professor of comparative religion presents a thorough essay on how much this original religion broadly conceived, and subsequent literary cultures, are founded upon and infused by sacred inscribed codicies, books, testaments, and so on.

A Learning Planet > The Spiral of Science

Draelos, Timothy, et al. Neurogenesis Deep Learning. arXiv:1612.03770. We note this posting by Sandia National Laboratory computational neuroscientists as another report about how neural, machine, algorithmic, computational, and probabilistic procedures are being applied from cosmology to chemistry to social media. See also for example Deep Learning with Dynamic Computation Graphs at arXiv:1702.02181.

Neural machine learning methods, such as deep neural networks (DNN), have achieved remarkable success in a number of complex data processing tasks. These methods have arguably had their strongest impact on tasks such as image and audio processing - data processing domains in which humans have long held clear advantages over conventional algorithms. In contrast to biological neural systems, which are capable of learning continuously, deep artificial networks have a limited ability for incorporating new information in an already trained network. As a result, methods for continuous learning are potentially highly impactful in enabling the application of deep networks to dynamic data sets. Here, inspired by the process of adult neurogenesis in the hippocampus, we explore the potential for adding new neurons to deep layers of artificial neural networks in order to facilitate their acquisition of novel information while preserving previously trained data representations. (Abstract)

A Learning Planet > The Spiral of Science

George, Daniel and Eliu Antonio Huerta. Deep Neural Networks to Enable Real-Time Multimessenger Astrophysics. arXiv:1701.00008. University of Illinois astronomers describe how artificial neural nets as a generic self-organizing complex system of universal application can facilitate space studies. See also in this cosmic realm Deep Learning for Studies of Galaxy Morphology (1701.05917), and Star-Galaxy Classification using Deep Convolutional Neural Networks (1608.04369).

The application of DNNs in GW astrophysics, astronomy, and astroparticle physics has the potential to accelerate scientific research and unlock new opportunities by enhancing the way we use existing High Performance Computing (HPC) resources while allowing us to exploit emerging hardware architectures such as deep-learning optimized Graphics Processing Units (GPUs) and Field-Programmable Gate Arrays (FPGAs). Working in tandem with computer scientists and industries to develop Artificial Intelligence (AI) tools that extend our prototype, and further exploring applications of deep learning for multimessenger astrophysics and fundamental sciences, may provide the means to e ectively consolidate different windows of observation into the Universe. (2)

A Learning Planet > The Spiral of Science

Liu, Weibo, et al. A Survey of Deep Neural Network Architectures and their Applications. Neurocomputing. Online December, 2016. As the Abstract cites, Brunel University, London, Xiamen University, Yangzhou University, and King Abdulaziz University, Jeddah, computer engineers provide a wide-ranging tutorial on these increasingly useful cognitive methods.

Since the proposal of a fast learning algorithm for deep belief networks in 2006, the deep learning techniques have drawn ever-increasing research interests because of their inherent capability of overcoming the drawback of traditional algorithms dependent on hand-designed features. Deep learning approaches have also been found to be suitable for big data analysis with successful applications to computer vision, pattern recognition, speech recognition, natural language processing, and recommendation systems. In this paper, we discuss some widely-used deep learning architectures and their practical applications. An up-to-date overview is provided on four deep learning architectures, namely, autoencoder, convolutional neural network, deep belief network, and restricted Boltzmann machine. Different types of deep neural networks are surveyed and recent progresses are summarized. (Abstract)

A Learning Planet > The Spiral of Science

Trotta, Roberto. Bayesian Methods in Cosmology. arXiv:1701.01467. An Imperial College London, Centre for Inference and Cosmology, Data Science Institute, researcher writes an 86 page tutorial on how to resolve data avalanches and measurement uncertainties by use of this iterative method to reach a good enough analysis and answer. One might describe it as a series of improved guesses that draw on prior experiences and results. See also, for example, Bayesian Mass Estimates of the Milky Way by Gwendolyn Eadie, et al (1609.06304).

These notes aim at presenting an overview of Bayesian statistics, the underlying concepts and application methodology that will be useful to astronomers seeking to analyse and interpret a wide variety of data about the Universe. The level starts from elementary notions, without assuming any previous knowledge of statistical methods, and then progresses to more advanced, research-level topics. After an introduction to the importance of statistical inference for the physical sciences, elementary notions of probability theory and inference are introduced and explained. Bayesian methods are then presented, starting from the meaning of Bayes Theorem and its use as inferential engine, including a discussion on priors and posterior distributions. Numerical methods for generating samples from arbitrary posteriors (including Markov Chain Monte Carlo and Nested Sampling) are then covered. The last section deals with the topic of Bayesian model selection and how it is used to assess the performance of models, and contrasts it with the classical p-value approach. (Abstract)

A Learning Planet > Mindkind Knowledge

Miorandi, Daniele, et al. Social Collective Intelligence. Berlin: Springer, 2014. The subtitle for this eclectic collection is Combining the Powers of Humans and Machines to Build a Smarter Society. Typical chapters are A Taxonomic Framework for Social Machines, Interface Design in Massive Open Online Courses, Computational Epidemiology, and Social Collective Awareness in Socio-Technical Urban Superorganisms.

The book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capabilities with the communication, computing and storage capabilities of advanced ICT.

Organic Universe: An Animate, Conducive Cosmos

Animate Cosmos > Quantum Cosmology

Gebrehiwot, Yikdem, et al. On Utmost Multiplicity of Hierarchical Stellar Systems. arXiv:1701.01135. We cite for its content, and for the current reach of intercontinental collaborations. The lead author is at the Entoto Observatory, Ethiopia, followed by seven Russian astronomers with other postings in South Africa. The paper is to appear in the journal Baltic Astronomy from Vilnius, Lithuania.

According to theoretical considerations, multiplicity of hierarchical stellar systems can reach, depending on masses and orbital parameters, several hundred, while observational data confirm existence of at most septuple (seven-component) systems. In this study, we cross-match very high multiplicity (six and more components) stellar systems in modern catalogues of visual double and multiple stars, to find candidates to hierarchical systems among them. After cross-matching with catalogues of closer binaries (eclipsing, spectroscopic, etc.), some of their components were found to be binary/multiple themselves, which increases the system's degree of multiplicity. Optical pairs, known from literature or filtered by the authors, are flagged and excluded from the statistics. We have compiled a list of potentially very high multiplicity hierarchical systems that contains 10~objects. Their multiplicity does not exceed 12, and we discuss a number of ways to explain the lack of extremely high multiplicity systems.

Animate Cosmos > Quantum Cosmology > exouniverse

Robles-Perez, Salvador, et al. Inter-Universal Entanglement in a Cyclic Multiverse. arXiv:1701.04773. We lead with this entry to record a flurry of postings whence entire cosmoses in every parallel, interactive, serial, spatially imaginable mode are being quantifiably considered by collaborative Earthlings. For example, see also Causal Structures in Cosmology by George Ellis and Jean-Philippe Uzan (1612.01084), Three Aspects of Typicality in Multiverse Cosmology by Feraz Azhar (1609.02586), A Discrete, Finite Multiverse by Alan Mckenzie (1609.04050), Is the Quilted Multiverse Consistent with a Thermodynamic Arrow of Time by Yakir Aharonov, et al (1608.08798), and Cyclic Multiverses by Konrad Marosek, et al (1509.04074).

Theoretical achievements, as well as much controversy, surround multiverse theory. Various types of multiverses, with an increasing amount of complexity, were suggested and thoroughly discussed by now. While these types are very different, they all share the same basic idea - our physical reality consists of more than just one universe. Each universe within a possibly huge multiverse might be slightly or even very different from the others. The quilted multiverse is one of these types, whose uniqueness arises from the postulate that every possible event will occur infinitely many times in infinitely many universes. In this paper we show that the quilted multiverse is not self-consistent due to the instability of entropy decrease under small perturbations. We therefore propose a modified version of the quilted multiverse which might overcome this shortcoming. It includes only those universes where the minimal entropy occurs at the same instant of (cosmological) time. Only these universes whose initial conditions are fine-tuned within a small phase-space region would evolve consistently to form their close states at present. (Abstract, Aharonov)

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