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Displaying entries 1 through 15 of 21 found.

Pedia Sapiens: A Planetary Progeny Comes to Her/His Own Twintelligent Gaiable Knowledge

Bangura, Abdul Karim. Russian Fractals in Indigenous Artifacts.. Wilmington, DE: Vernon Press, 2025. The prolific polyscholar from Sierra Leone (google his many credits) casts his perceptive vision to reveal a many self-similar forms which deeply distinguish traditional Slavic artifacts. Once again a light has been shined on nature’s familiar, mathematic invariance.

This unique volume reveals how indigenous Russian cultures have a wonderful Fractal heritage that arose from socially just and ecologically sustainable social practices, such as northern Yakut. Today, the challenge for contemporary Russia is to reestablish the relationship between the social and ecological sustainability of indigenous peoples. Abdul Bangura expresses the current need for a Fractal renaissance which joins computational and scientific analyses with these venerable traditions.

Abdul Karim Bangura of Sierra Leone is Researcher-In-Residence of Abrahamic Connections and Islamic Peace Studies at American University’s Center for Global Peace in Washington, DC, USA. He holds advanced degrees in Political Science, Development Economics, Linguistics, Computer Science, and Mathematics.

Liu, Zizhou, et al. The Mind in the Machine: A Survey of Incorporating Psychological Theories in LLMs. arXiv:2505.00003. Columbia University, Barnard College and Cambridge University infoscholars contribute to a current endeavors trying to get a better bead/read on where profligate ChatBot literacies and responses are coming from and going to. This Spiral turning (Turing) section is concerned with validating their personal Earthuman venue as an interactive, reciprocal sciencesphere, while the Earthificial module below is about their cognitive essence and content. See also Nature's Insight: A Comprehensive Analysis of Agentic Reasoning by Zinan Liu, et al at arXiv:2505.05515.

Psychological insights have long shaped Natural language processing by way of attention mechanisms, reinforcement learning, and Theory of Mind. behavior, and interaction. This paper reviews how psychological theories can help inform LLMs stages including pre-training, evaluation and application. Our survey integrates insights from cognitive, behavioral, social, personality psychology, and psycholinguistics. (Abstract)

Marsili, Matteo and Yasser Roudi.. Quantifying Relevance in Learning and Inference. Physics Reports. Volume 963, 2022. We cite this entry by Abdus Salam International Centre for Theoretical Physics, Trieste, Italy and Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology physicists because it is mainly about an apparent physical propensity to seek and gain more relative, functional knowledge, whose frontier is our human sapience. In a philosophia mind, one might view a learning universe which needs to achieve its own self-observance, description and record. As the quotes allude, this ultimatel endeavor, aka bit to it information, can be seen as another instance of an inherent self-organized critical process. See also Abstraction requires breadth: a renormalisation group approach by C. Caputo, E. Seiffert and M. Marsili at 2407.01656 for more.

Learning is a distinctive feature of intelligent behaviour. Here we review recent progress on based on the notion of "relevance" which quantifies the amount of information that a dataset or representation contains. This allows us to define maximally informative samples and optimal learning machines where both exhibit critical features. This identifies samples obeying Zipf's law as the most compressed loss-less representations that are optimal in the sense of maximal relevance. (Excerpt)

Maximal relevance and criticality in efficient coding and statistical learning The above discussion implies that when samples are generated to be maximally informative, they should exhibit statistical criticality. Natural and artificial learning systems offer a further test for the criticality hypothesis. That the brain operates in a critical state has been advanced by many authors. The observation that neural networks have enhanced computational efficiency at the edge of chaos is well known. (20, 21)

Ecosmos: A Revolutionary Fertile, Habitable, Solar-Bioplanet, Incubator Lifescape

Caliz, Andres, et al. A coherent approach to quantum-classical optimization. Communications Physics. 8/197, 2025. team from Qilimanjaro Quantum Tech, Barcelona introduce Qilimanjaro Quantum Tech jeir latest innovative methods to launch market-ready quantum computation and communication facilities based on an integral blend of physical stages and their analog/digital reciprocal modes. Here is another example of a present versatility in this basic realm as it also illumes a new cocreativity.

Hybrid quantum-classical optimization techniques can reduce of high quantum computational resources. Here we identify the coherence entropy as a crucial metric which determines quantum states as effective initialization candidates. Our findings are validated by way of the Quantum Approximate Optimization Algorithm, which finds pure Gibbs states. (Excerpt)

Unlocking nature through analog quantum computing Because nature is intrinsically quantum and analog, our custom-designed, analog approach opens the true potential of quantum computing, delivering faster, more accurate and sustainable solutions for simulation, optimization and AI. (Qilimanjaro Quantum Tech)

Touil, Akram, et al. Consensus About Classical Reality in a Quantum Universe.. arXiv:2503.14791. Los Alamos National Laboratory theorists led by Wojciech Zurek discuss a latest version of his Quantum Darwinism (search WZ) which has been growing in veracity and evidence since the 1990s.

Quantum Darwinism recognizes that decoherence imprints redundant records of quasi-classical pointer states on the environment which are then accessed by observers. We quantify consensus using information-theoretic measures to assess the correlation between the records available to observers. We then test proposed measures of consensus in a solvable model of decoherence as well as in a many-body system. These results provide novel understandings of how our classical world arises from the fundamentally quantum Universe we inhabit. (Abstract)

Zurek, Wojciech. Decoherence and Quantum Darwinism: From Quantum Foundations to Classical Reality. Cambridge: Cambridge University Press 2025.. Cambridge: Cambridge University Press, 2025. The Los Alamos National Laboratory physicist gifts us, after some decades of collegial consideration, with a book length version of his deeply insightful theories. As the quotes say, we seem to abide in and emerge from a stochastic evolutionary process of many called and few (self) chosen writ large, which into the 2020s is being widely realized. One wonders if it even applies to candidate, sentient bioplanets like our own.

The measurement problem has been a central puzzle of quantum theory since its inception, and understanding how the classical world emerges from our essential quantum universe is key to its resolution. Here Zurek builds on the physics of decoherence and introduces the theory of 'Quantum Darwinism' to provide a novel account of the emergence of classical reality. Part II explores decoherence and its role in the quantum-to-classical transition. Part III introduces Quantum Darwinism to explain how an information-theoretic perspective complements, elucidates, and reconciles 20th century interpretations.

Quantum Darwinism is a theory meant to explain the emergence of the classical world from quantum origins by a process akin to Darwinian natural selection induced by the environment whereby many possible quantum states are selected in favor of a stable measured or recorded state.

Aerts, Diederik, et al. From Quantum Cognition to Conceptuality Interpretation II. arXiv:2412.19809. Vrije Universiteit Brussels and University of Udine, Italy continue to finesse their innovative theories as by which quantum-like phenomena is seen in effect in psychological, social and literary domains. See also The physics and metaphysics of the conceptuality interpretation of quantum mechanics by Aerts, D. and Sassoli de Bianchi, M. at arXiv:2310.10684 for an earlier edition and The cognitive triple-slit experiment at arXiv:2505.05497 for a latest version.

An overview of the conceptuality interpretation of quantum mechanics is presented, along with how it sheds light on key quantum and relativistic phenomena. We propose that it clarifies Heisenberg's uncertainty principle, entanglement-based nonlocality, superposition, delayed choice experiments, quantum measurements and more. Finally, we suggest that it outlines the intellectual trajectory leading from applications of quantum notions to human cognition. This article is the second in a two-part series whereof the first is 2412.06799. (Excerpt)

Scrutton, Nigel, et al. Transitioning enzyme catalysis towards photocatalysis. Philosophical Transactions A. May, 2025. In a special Science into the next millennium: 25 years on’ issue which compares the state of 2025 research with earlier 2000 entries, veteran University of Manchester chemists record the broad extent that enzyme biocatalysis has been found to take in life’s metabolism. See also Fundamental physics, existential risks and human futures by Adrian Kent and Computational modelling of biological systems by Axel Loewe in this edition.

Enzyme biocatalysis offers routes to chemical transformations that avoid expensive metal catalysts, high temperatures and pressures, while providing enantio-, regio- and chemo-selectivities. Here, we review the emergence of photobiocatalysis as a new frontier of natural photoenzymes. We consider repurposing natural enzymes as photobiocatalysts and discuss their de novo design which as a general concept would transform catalysis science. (Excerpt)

Vidotto, Aline. Star–Planet Interactions: A Computational View. Annual Review of Astronomy and Astrophysics.. Volume 63, 2025. A Leiden Observatory professor and SPI group leader presents the latest evidential findings which convey and quantify how whole dynamic solar systems possess an overall physical identity. See also A Resonant Beginning for the Solar System Terrestrial Planets by this Leiden effort at arXiv:2506.04164.

There are several physical processes between an exoplanet and its host star such as magnetic forces, stellar outflow, radiative and tidal. Their strengths depend on the architecture of planetary systems, as well as the age and activity of the solar center. Here, I present an overview of star-planet interactions which vary in time from hours to giga-years related to planetary orbital motion, rotation and stellar flares, cycles and long-term evolution. I advocate that future 3D models should be informed by multi-wavelength, (near-)simultaneous observations. (Excerpt)

I covered three main SPI types which are mediated by stellar magnetism: radiative interactions expand exoplanetary atmospheres, particle flows are affected by the stellar wind and magnetic connections between stellar and planetary field lines. The strength of the SPI depends on the architecture of planetary systems, as well as the age and activity of the host stars. (36)

Mitrašinović, Ana, et al. Revisiting the bimodality of galactic habitability in IllustrisTNG. arXiv:2505.11048. Astronomical Observatory, Belgrade, Serbia searchers including Branislav Vukotić, and Milan Ćirković describe the latest abilities by which a wide array of galaxy neighborhoods could be quantified as hospitable to animate, evolutionary systems.

The potential of galaxy-scale evolution and cosmological processes to host habitable planets is central to astrobiology. Using IllustrisTNG (a series of cosmological magneto-hydrodynamical simulations to illuminate the physical processes that drive galaxy formation) we revisit the mass-metallicity relation for small, metal-rich, star-forming galaxies as an indicator of enhanced galactic habitability. This research underscores the need for a holistic approach to studying habitability that moves beyond planetary and stellar-focused frameworks to incorporate the broader galactic environment. (Excerpt)

Ecosmomics: Independent Complex Network Systems, Computational Programs, Genetic Ecode Scripts

Agüera y Arcas, Blaise, et al. Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction. arXiv:2406.19108. Google Paradigms of Intelligence Team and University of Chicago conduct exercises that show how certain program languages as they run appear to have a tendency to spontaneously biocomplexify, evolve and emerge lifeward. These digital propensities are then seen to accompany precursor autocatalytic reactions.

The fields of Origin of Life and Artificial Life both question what life is and how it emerges from a distinct set of "pre-life" dynamics. One common feature is a marked shift in dynamics when self-replication appears. In this paper we propose some answers by studying computational substrates by way of programming languages and machine instruction sets. We show that when non self-replicating programs are placed in a conducive environment, that self-replicators tend to arise. We also show how increasingly complex dynamics then continue to emerge. (Excerpt)

Aerts, Diederik, et al. Identifying Quantum Mechanical Statistics in Italian Corpora.. International Journal of Theoretical Physics. 64/136, 2025. As the Free University of Brussels and University of Udine team (search DA) apply their insights to human realms, in this case they report an intrinsic, thematic presence in literary editions. Our natural philoSophia interest then makes note of a textual quality being attributed to nature’s deepest essence.

We present a theoretical and empirical investigation of the statistical behaviour of the words produced by human language. To this aim, we analyse the word distribution of various texts of Italian language selected from a specific literary corpus. We generalise a theory elaborated by ourselves to identify “quantum mechanical statistics.” These results confirm patterns in English language works whereby words together as a consequence of their meaning. (Excerpt)

Camps, Jean-Baptiste, et al. Camps, Jean-Baptiste, et al. On the transmission of texts: written cultures as complex systems.. arXiv:2505.19246. Ecole nationale des chartes Paris, University Paris-Saclay and Ben Guerir, Morocco computational philologists provide a 2020s expansion and deepening of this academic pursuit by recasting literature as an exemplary manifestation of nonlinear, creative phenomena. By turns, our human literary corpora can actually be appreciated and parsed as a natural narrative.

Our knowledge of past cultures relies on recovering and parsing written material. While philologists like us reconstruct text phylogenies, the sources of prior genealogies is an open issue. Here we rethink literary transmission through a complexity science approach which integrates stochastic modelling, computer simulations, and data analysis, akin to statistical physics and evolutionary biology. Thus, we design general models that can account for diachrony and other aspects such as the extinction of branches or trees. (Excerpt)

Finally, the commonality of our models makes it applicable not only to medieval texts, but to any type of cultural transmission. Further investigations should include Western Medieval literature along with other time periods and geographical areas. In this sense, our work calls for the emergence of a new research endeavor dedicated to evolutionary modelling of cultural transmission. (15)

Duan, Qihao, et al. JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model.. arXiv:2505.17257. We cite this entry by Berlin Institute of Health, Shenzhen Technology University, Carnegie Mellon University and MPI Heart and Lung Research system scientists including Benjamin Wild as another example of how easily a cross-translation of AI textual algorithms and genetic code-scripts can be made, as a Rosetta ecosmos becomes increasingly legible.

Large language models (LLMs) have joined with natural language processing and are now being applied to genetic sequences. However, adapting to complex genomic interactions requires modeling long-range dependencies within DNA sequences, but DNA is inherently bidirectional, which regulates transcription. Here we introduce JanusDNA, the first foundation model built upon a pretraining paradigm that combines the optimization efficiency of autoregression as it faces in both directions. (Excerpt)

Life's Corporeal Evolution Develops, Encodes and Organizes Itself: An Earthtwinian Genesis Synthesis

Attwater, James, et al. Trinucleotide substrates under pH–freeze–thaw cycles enable open-ended exponential RNA replication by a polymerase ribozyme. Nature Chemistry. May, 2025. Seven MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, UK add further explanations as to how early RNA nucleotides got themselves untangled, sorted out and on their long journey to Oxford and our vital retrospect.

RNA replication is considered a key process in the origins of life. However, both enzymatic RNA replication cycles are impeded by strand separation issues arising from the stability of RNA duplexes. Here we show that RNA trinucleotide triphosphates can overcome this by binding to RNA strands for replication by a polymerase ribozyme. Partial ribozyme self-replication alongside generation of new RNA sequences occurred, which then drifted towards primordial codons. (Excerpt)

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