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Displaying entries 1 through 6 of 6 found.
Cosmic Code > nonlinear > Algorithms
Gregor, Karol and Frederic Besse..
Self-Organizing Intelligent Matter: A Blueprint for an AI Generating Algorithm.
DeepMind, UK computer theorists pick up on a 2019 paper by Jeff Clune (University of Wyoming) entitled Ai-generating Algorithms as an Alternate Paradigm for General Artificial Intelligence (1905.10985) about a better natural basis for evolutionary computation. The authors continue and enhance this method by way of further perceptions of life’s origin and complex, quickening course as a prime exemplar. In respect, this approach can provide another window upon of some manner of computational program and process at work in animate generation.
We propose an artificial life framework aimed at facilitating the emergence of intelligent organisms. In this framework there is no explicit notion of an agent: instead there is an environment made of atomic elements. These elements contain neural operations and interact through exchanges of information and through physics-like rules contained in the environment. We discuss how an evolutionary process can lead to the emergence of different organisms made of many such atomic elements which can coexist and thrive in the environment. (Abstract)
Cosmic Code > nonlinear > 2015 universal
An AI generating algorithm is a computational system that runs by itself without outside interventions and after a certain amount of time generates intelligence. Evolution on earth is the only known successful system thus far that we know of. (1) In this paper we proposed a framework for achieving intelligence by evolutionary process in an environment that is built out of interacting elements implementing computationally efficient and general learning. (9)
Manicka, Santosh, et al.
Effective Connectivity Determines the Critical Dynamics of Biochemical Networks.
Into 2021, Indiana University, Center for Social and Biomedical Complexity theorists including Luis Rocha (see his website at IU) advance understandings of the phenomena of self-organized criticality which is seen to naturally mediate life’s need to conserve and preserve, along with an openness to creative change. And if this golden middle way might ever at be confirmed and comprehended, it could revise our awful politics which now pits one mode vs. the other.
Living systems operate in a critical dynamical regime between order and chaos where they are both resilient to perturbation, and flexible enough to evolve. To characterize such critical dynamics, the present method uses automata network connectivity and node bias (to be on or off) as tuning parameters, which can lead to uncertain predictions. We derive a more accurate approach by way of canalization, a redundancy that buffers response to inputs and traits keeping them close to optimal states despite genetic and environmental perturbations. The new 'canalization theory' of criticality is based on a measure of effective connectivity, which resolves how to find precise ways to design or control network models of biochemical regulation. (Abstract excerpt)
Cosmic Code > nonlinear > 2015 universal
Plenz, Dietmar, et al.
Self-Organized Criticality in the Brain.
Into the 2020s, National Institute of Mental Health, Critical Brain Dynamics Section (D. Plenz director, search) neuroscientists report on a decade and more of convergent research findings which now have reached a proven validity that human cerebral activity does indeed seek and reside at an optimum dynamic poise. In respect, one more robust exemplar, on the way to an invariant universality, is achieved by virtue of our own microcosmic cognizance.
Self-organized criticality (SOC) refers to the ability of complex systems to evolve towards a phase transition at which interactions between system components lead to scale-invariant events beneficial for overall performance. For the last two decades, considerable experimental evidence has accumulated that the mammalian cortex with its diversity in cell types, interconnectivity, and plasticity might exhibit SOC. Here we review experimental findings of isolated, layered cortex preparations to self-organize towards the four dynamical motifs of up-states, oscillations, neuronal avalanches, and coherence potentials. The precise interaction between up-states, nested oscillations and avalanches in layered cortex provides compelling evidence for SOC in the brain. (Abstract excerpt)
Cosmic Code > nonlinear > 2015 universal
Zhang, Yuanzhao and Adilson Motter.
Mechanism for Strong Chimeras.
Northwestern University systems physicists (search AM) provide a deeply technical explanation of why so many natural phenomena are found to exhibit this optimum state of both order and disorder at once.
Chimera states have attracted significant attention as symmetry-broken states exhibiting the unexpected coexistence of coherence and incoherence. Despite the valuable insights gained from analyzing specific systems, an understanding of the general physical mechanism underlying the emergence of chimeras is still lacking. Here, we show that many stable chimeras arise because coherence in part of the system is sustained by incoherence in the rest of the system. Recognizing this mechanism offers a new meaning to the interpretation that chimeras are a natural link between coherence and incoherence. (Abstract)
Earth Life > Recapitulation
Kohsokabe, Takahiro and Kunihiko Kaneko.
Dynamical Systems Approach to Evolution–Development Congruence: Revisiting Haeckel's Recapitulation Theory.
Journal of Experimental Biology. B.
Some 140 years later, RIKEN Center for Biosystem Dynamics and Universal Biology Institute, University of Tokyo veteran researchers (search KK) provide a novel 21st century qualification for general parallels between ontogeny and phylogeny. The main novel resource is the active presence of gene regulatory networks, along with complex system influences. See also Recapitulation-like Developmental Transitions of Chromatin Accessibility in Vertebrates by Masahiro Uesaka, et al in Zoological Letters (5:33, 2019).
It is acknowledged that embryonic development has a tendency to proceed from common toward specific. Ernst Haeckel (1834-1919) raised the question of why that tendency prevailed through evolution, and the question remains unsolved. Here, we revisit his recapitulation theory of a parallel between evolution and development through numerical evolution and dynamical systems theory. By using intracellular gene expression dynamics with cell‐to‐cell interaction over spatially aligned cells to represent the developmental process, gene regulation networks (GRN) that govern these dynamics evolve under the selection pressure to achieve a prescribed spatial gene expression pattern. For most numerical evolutionary experiments, the evolutionary pattern changes over generations, as well as the developmental pattern changes governed by the evolved GRN exhibit remarkable similarity. (Abstract excerpt)
Future > Green Galaxy
Consciousness as Integrated Information.
In the lengthy quote below, th University of Wisconsin psychologist and founder of this now well accepted theory (see section above) wrote a unique consideration of what it might mean if human beings are personally and altogether able to flicker into knowledgeable awareness. By this 2021, when we are familiar with images of Earth at night whence cities become luminous centers, I rename this section EarthOva.
A useful way of thinking about consciousness as a natural property is as follows. We are used to the universe as a vast empty space that contains enormous conglomerations of mass, charge, and energy — giant bright entities from planets to stars to galaxies. In this view, each of us constitutes an extremely small, dim portion of what exists. However, if integrated information is an intrinsic presence, one could perceive a universe with occasional specks of human-like awareness. Thus one small corner of the known cosmos contains a remarkable concentration of extremely bright entities, orders of magnitude brighter than anything around them. Each bright light is the main complex of an individual person. I argue that such a consciousness-centric view is as valid as that of a universe dominated by mass, charge, and energy. Intriguingly, it has been suggested that information may exist prior to physical properties as John A. Wheeler’s it from bit theory proposes. This may well be true but if one considers an “integrated information.” (233)