Self-Optimization in Continuous-Time Recurrent Neural Networks by Mario Zarco, Tom Froese, Tom Froese

“…A recent advance in complex adaptive systems has revealed a new unsupervised learning technique called self-modeling or self-optimization. Basically, a complex network that can form an associative memory of the state configurations of the attractors on which it converges will optimize its structure: it will spontaneously generalize over these typically suboptimal attractors and thereby also reinforce more optimal attractors—even if these better solutions are normally so hard to find that they have never been previously visited. …”
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Am I Self-Conscious? (Or Does Self-Organization Entail Self-Consciousness?) by Karl Friston

“…What follows is based upon the notes for that essay, with a special focus on self-organization, self-evidencing and self-modeling. I will try to substantiate my (polemic) answer from the perspective of a physicist. …”
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The intelligence of emotions? Debates over the structure of moral life in early China by Curie Virág

“…I argue, rather, that these early accounts were marked by a strong consciousness of the potential tension between cognitive and emotive sources of direction, but that they also reveal a concern with reconciling this tension through various distinct models of the moral self – models that recognized multiple channels of knowledge, perception and understanding. …”
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Effective Modeling on Learning Ballet Online by Jeongwon Kim, Iseul Jo, Younha Ma, Hyewon Yoon, Dongwon Yook

“…The study included 36 individuals who were divided into an expert modeling group, a self-modeling group, and controls. Participants performed 60 trials of Pas de basque in the acquisition phase and 10 trials without a demonstration video after 24 h. 10 min later, the reversed Pas de basque was conducted for the retention test. …”
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Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression by Cun-jun LI, Ji-hua WANG, Qian WANG, Da-cheng WANG, Xiao-yu SONG, Yan WANG, Wen-jiang HUANG

“…Determination coefficient, average deviation of self-modeling, and deviation of cross-validation were employed to assess the estimation accuracy of wheat grain protein content. …”
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Staging national identities in contemporary Estonian theatre and film by Ester Võsu, Alo Joosepson

“…Both strategies of staging are characteristic of the transformation of national identities, confirming that a single homogenous staging of national identity seems to be replaced by bringing multiple new self-models on stage.…”
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Multiplane Image Restoration Using Multivariate Curve Resolution: An Alternative Approach to Deconvolution in Conventional Brightfield Microscopy by Sylvere Bienvenue Dion, Don Jean François Ulrich Agre, Akpa Marcel Agnero, Jérémie Thouakesseh Zoueu

“…The method is based on a statistical reconstruction approach using a self-modelling mixture analysis. The MCR-ALS (ALS for Alternating Least Square) algorithm under non-negativity constraints, Wiener, Richardson–Lucy, and blind deconvolution algorithms were applied to silica microbeads and red blood cells images. …”
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Assessing temporal and spatial variability of algal bloom in Three Gorges Project reservoir----Application of an unstructured-grid three-dimensional coupled hydrodynamic-water qual... by Li, Jian, Qin, Xiaosheng, Chen, Min

“…Dynamics of phytoplankton biomass characterized by chlorophyll a, nutrients including organic and inorganic nitrogen and phosphorus, dissolved oxygen (DO) , suspended and bottom sediments were modeled using an expended and revised version of Water Analysis Simulation Program (WASP) which was fully coupled to SELFE model. The coupled model was driven by surface wind force, heat fluxes, oxygen exchanges at water-air interface, solar radiation and boundary conditions fluxes from Changjiang River (CJR) and XXR. …”
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The Link between Soil Geochemistry in South-West England and Human Exposure to Soil Arsenic by Joanna Wragg, Mark Cave, Elliott Hamilton, T. Robert Lister

“…The total element concentrations of 1154 soils were measured with As concentrations ranging from 4.7⁻1948 mg·kg^−1, with the bioaccessible As of 50 selected soils ranging from 0.6⁻237 mg·kg^−1. A Self Modelling Mixture Resolution approach was applied to the total soil element chemistry to identify the intrinsic soil constituents (ISCs). …”
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Response of Salt Transport and Residence Time to Geomorphologic Changes in an Estuarine System by Wen-Cheng Liu, Min-Hsin Ke, Hong-Ming Liu

“…The performance of the SELFE model corresponded well to the measured data. …”
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A Spectrum of Selves Reinforced in Multilevel Coherence: A Contextual Behavioural Response to the Challenges of Psychedelic-Assisted Therapy Development by Henry J. Whitfield, Henry J. Whitfield, Henry J. Whitfield

“…The principle through-line of the paper is to consider varied constructs of Self, as understood by these fields, and integrates respective elements of varied self-models, interventions and data into a Spectrum of Selves model for psychedelic-assisted therapy. …”
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A Novel Muscle Synergy Extraction Method Used for Motor Function Evaluation of Stroke Patients: A Pilot Study by Yehao Ma, Changcheng Shi, Jialin Xu, Sijia Ye, Huilin Zhou, Guokun Zuo

“…Its performance was compared with two other matrix factorization algorithms, NMF and self-modeling mixture analysis (SMMA). Simulated data sets were utilized to explore the influences of the sparseness and noise on the extracted synergies. …”
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The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again by Adam Safron

“…Drawing from both enactivist and cognitivist perspectives on mind, I propose that explaining teleological phenomena may require reappraising both “Cartesian theaters” and mental homunculi in terms of embodied self-models (ESMs), understood as body maps with agentic properties, functioning as predictive-memory systems and cybernetic controllers. …”
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Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization by Irfan Haider, Muhammad Attique Khan, Muhammad Nazir, Ameer Hamza, Omar Alqahtani, M. Turki-Hadj Alouane, Anum Masood

“…The dragonfly optimization algorithm is proposed for the best feature selection and applied to the self-attention features of 5-RBNET Self and 9-RBNET Self models to improve the classification performance further and reduce the computational cost. …”
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Determination of ripeness stages of Mazafati variety of date fruit by Raman spectroscopy by R Khodabakhshian, B Emadi

“…A modified polynomial, Self-Modeling mixture Analysis (SMA( and the Spectral Information Divergence (SID) was performed on different samples at four ripeness stages.…”
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