Results for 'multiscale modelling'

977 found
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  1.  38
    Multiscale modelling of dislocation/grain boundary interactions. II. Screw dislocations impinging on tilt boundaries in Al.M. P. Dewald & W. A. Curtin - 2007 - Philosophical Magazine 87 (30):4615-4641.
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  2.  22
    Multiscale modelling of precipitation in concentrated alloys: from atomistic Monte Carlo simulations to cluster dynamics I thermodynamics.J. Lépinoux & C. Sigli - 2018 - Philosophical Magazine 98 (1):1-19.
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  3.  19
    Multiscale modelling of nanomechanics and micromechanics: an overview.Nasr M. Ghoniem†, Esteban P. Busso, Nicholas Kioussis & Hanchen Huang - 2003 - Philosophical Magazine 83 (31-34):3475-3528.
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  4.  40
    Multiscale modelling of size effect in fcc crystals: discrete dislocation dynamics and dislocation-based gradient plasticity.F. Akasheh, H. M. Zbib & T. Ohashi - 2007 - Philosophical Magazine 87 (8-9):1307-1326.
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  5.  55
    How to Build a Multiscale Model in Biology.Samuel Bernard - 2013 - Acta Biotheoretica 61 (3):291-303.
    Biological processes span several scales in space, from the single molecules to organisms and ecosystems. Multiscale modelling approaches in biology are useful to take into account the complex interactions between different organisation levels in those systems. We review several single- and multiscale models, from the most simple to the complex ones, and discuss their properties from a multiscale point of view. Approaches based on master equations for stochastic processes, individual-based models, hybrid continuous-discrete models and structured PDE (...)
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  6.  17
    Comparison of algorithms for multiscale modelling of radiation damage in Fe-Cu alloys.L. Malerba, C. S. Becquart, M. Hou & C. Domain - 2005 - Philosophical Magazine 85 (4-7):417-428.
  7.  14
    Comparison of algorithms for multiscale modelling of radiation damage in Fe–Cu alloys.L. Malerba *, C. S. Becquart, M. Hou & C. Domain - 2005 - Philosophical Magazine 85 (4-7):417-428.
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  8. Evolution, Development, and Complexity: Multiscale Models in Complex Adaptive Systems.Michael Price & John Campbell (eds.) - forthcoming
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  9.  25
    Crystal plasticity and multiscale modelling of superalloy creep.W. J. J. Vorster & F. P. E. Dunne - 2012 - Philosophical Magazine 92 (7):830-848.
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  10.  28
    A three-dimensional multiscale model of intergranular hydrogen-assisted cracking.J. J. Rimoli & M. Ortiz - 2010 - Philosophical Magazine 90 (21):2939-2963.
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  11.  52
    Multiscale Modeling of Gene–Behavior Associations in an Artificial Neural Network Model of Cognitive Development.Michael S. C. Thomas, Neil A. Forrester & Angelica Ronald - 2016 - Cognitive Science 40 (1):51-99.
    In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly important role. One example of such associations is the observation of correlations between relatively common gene variants and individual differences in behavior. It is perhaps surprising that such associations can be detected despite the remoteness of these levels of description, and the fact that behavior is the outcome of an extended developmental process involving interaction of the whole organism with a variable environment. Given (...)
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  12.  47
    Multiscale Analysis of Biological Systems.Annick Lesne - 2013 - Acta Biotheoretica 61 (1):3-19.
    It is argued that multiscale approaches are necessary for an explanatory modeling of biological systems. A first step, besides common to the multiscale modeling of physical and living systems, is a bottom-up integration based on the notions of effective parameters and minimal models. Top-down effects can be accounted for in terms of effective constraints and inputs. Biological systems are essentially characterized by an entanglement of bottom-up and top-down influences following from their evolutionary history. A self-consistent multiscale scheme (...)
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  13.  47
    Modeling multiscale patterns: active matter, minimal models, and explanatory autonomy.Collin Rice - 2022 - Synthese 200 (6):1-35.
    Both ecologists and statistical physicists use a variety of highly idealized models to study active matter and self-organizing critical phenomena. In this paper, I show how universality classes play a crucial role in justifying the application of highly idealized ‘minimal’ models to explain and understand the critical behaviors of active matter systems across a wide range of scales and scientific fields. Appealing to universality enables us to see why the same minimal models can be used to explain and understand behaviors (...)
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  14.  46
    Gallagher on Non-Reductive Naturalism: Complementarity, Integration or Multiscale Science?Patrick McGivern - 2018 - Australasian Philosophical Review 2 (2):159-170.
    Gallagher [2019] defends a form of naturalised phenomenology based on a non-classical view of science. A central component of this argument involves an analogy between phenomenology and quantum-mechanics: Gallagher suggests that both require us to give up key components of a classical view of the natural world. Here, I try to clarify this analogy and consider two associated problems. The first problem concerns the concept of subjectivity and its different roles in physics and phenomenology, and the second concerns the concept (...)
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  15.  22
    A multiscale gradient-dependent plasticity model for size effects.Hao Lyu, Nasrin Taheri-Nassaj & Hussein M. Zbib - 2016 - Philosophical Magazine 96 (18):1883-1908.
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  16.  36
    Descriptive multiscale modeling in data-driven neuroscience.Philipp Haueis - 2022 - Synthese 200 (2):1-26.
    Multiscale modeling techniques have attracted increasing attention by philosophers of science, but the resulting discussions have almost exclusively focused on issues surrounding explanation (e.g., reduction and emergence). In this paper, I argue that besides explanation, multiscale techniques can serve important exploratory functions when scientists model systems whose organization at different scales is ill-understood. My account distinguishes explanatory and descriptive multiscale modeling based on which epistemic goal scientists aim to achieve when using multiscale techniques. In explanatory (...) modeling, scientists use multiscale techniques to select information that is relevant to explain a particular type of behavior of the target system. In descriptive multiscale modeling scientists use multiscale techniques to explore lower-scale features which could be explanatorily relevant to many different types of behavior, and to determine which features of a target system an upper-scale data pattern could refer to. Using multiscale models from data-driven neuroscience as a case study, I argue that descriptive multiscale models have an exploratory function because they are a sources of potential explanations and serve as tools to reassess our conception of the target system. (shrink)
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  17.  27
    Multiscale crystal defect dynamics: a dual-lattice process zone model.Shaofan Li, Bo Ren & Hiroyuki Minaki - 2014 - Philosophical Magazine 94 (13):1414-1450.
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  18.  10
    Person Reidentification Model Based on Multiattention Modules and Multiscale Residuals.Yongyi Li, Shiqi Wang, Shuang Dong, Xueling Lv, Changzhi Lv & Di Fan - 2021 - Complexity 2021 (1):6673461.
    At present, person reidentification based on attention mechanism has attracted many scholars’ interests. Although attention module can improve the representation ability and reidentification accuracy of Re-ID model to a certain extent, it depends on the coupling of attention module and original network. In this paper, a person reidentification model that combines multiple attentions and multiscale residuals is proposed. The model introduces combined attention fusion module and multiscale residual fusion module in the backbone network ResNet 50 to enhance the (...)
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  19.  14
    Integration of Heterogeneous Biological Data in Multiscale Mechanistic Model Calibration: Application to Lung Adenocarcinoma.Claudio Monteiro, Adèle L’Hostis, Jim Bosley, Ben M. W. Illigens, Eliott Tixier, Matthieu Coudron, Emmanuel Peyronnet, Nicoletta Ceres, Angélique Perrillat-Mercerot & Jean-Louis Palgen - 2022 - Acta Biotheoretica 70 (3):1-24.
    Mechanistic models are built using knowledge as the primary information source, with well-established biological and physical laws determining the causal relationships within the model. Once the causal structure of the model is determined, parameters must be defined in order to accurately reproduce relevant data. Determining parameters and their values is particularly challenging in the case of models of pathophysiology, for which data for calibration is sparse. Multiple data sources might be required, and data may not be in a uniform or (...)
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  20.  15
    Multiscale Modeling in Neuroethology: The Significance of the Mesoscale.Kelle Dhein & Julia R. S. Bursten - forthcoming - Philosophy of Science:1-17.
    Recent accounts of multiscale modeling investigate ontic and epistemic constraints imposed by relations between component models at varying relative scales (macro, meso, micro). These accounts often focus especially on the role of the meso, or intermediate, relative scale in a multiscale model. We aid this effort by highlighting a novel role for mesoscale models: they can function as a focal point, and rationale, for disagreement between researchers who otherwise share theoretical commitments. We illustrate with a case study in (...)
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  21.  31
    Multiscale Receptive Fields Graph Attention Network for Point Cloud Classification.Xi-An Li, Li-Yan Wang & Jian Lu - 2021 - Complexity 2021:1-9.
    Understanding the implication of point cloud is still challenging in the aim of classification or segmentation for point cloud due to its irregular and sparse structure. As we have known, PointNet architecture as a ground-breaking work for point cloud process can learn shape features directly on unordered 3D point cloud and has achieved favorable performance, such as 86% mean accuracy and 89.2% overall accuracy for classification task, respectively. However, this model fails to consider the fine-grained semantic information of local structure (...)
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  22.  24
    Evolution, Development and Complexity: Multiscale Evolutionary Models of Complex Adaptive Systems.G. Georgiev, C. L. F. Martinez, M. E. Price & J. M. Smart (eds.) - 2019 - Springer.
    This book explores the universe and its subsystems from the three lenses of evolutionary (diversifying), developmental (converging), and complex (adaptive) processes at all scales. It draws from prolific experts within the academic disciplines of complexity science, physical science, information and computer science, theoretical and evo-devo biology, cosmology, astrobiology, evolutionary theory, developmental theory, and philosophy. The chapters come from a Satellite Meeting, "Evolution, Development and Complexity" (EDC) hosted at the Conference on Complex Systems, in Cancun, 2017. The contributions will be peer-reviewed (...)
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  23.  26
    Multiscale neocortical dynamics, experimental EEG measures, and global facilitation of local cell assemblies.Paul L. Nunez - 1996 - Behavioral and Brain Sciences 19 (2):305-306.
    Multiscale dynamics, linear approximations, global boundary conditions, experimental verification, and global influences on local cell assemblies are considered in the context of Wright & Liley's work. W&L provide a nice introduction to these issues and a reasonable simulation of intermediate scale dynamics, but the model does not adequately simulate combined local and global processes.
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  24.  15
    A Multiscale Chaotic Feature Extraction Method for Speaker Recognition.Jiang Lin, Yi Yumei, Zhang Maosheng, Chen Defeng, Wang Chao & Wang Tonghan - 2020 - Complexity 2020:1-9.
    In speaker recognition systems, feature extraction is a challenging task under environment noise conditions. To improve the robustness of the feature, we proposed a multiscale chaotic feature for speaker recognition. We use a multiresolution analysis technique to capture more finer information on different speakers in the frequency domain. Then, we extracted the speech chaotic characteristics based on the nonlinear dynamic model, which helps to improve the discrimination of features. Finally, we use a GMM-UBM model to develop a speaker recognition (...)
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  25.  19
    Multiscale Feature Filtering Network for Image Recognition System in Unmanned Aerial Vehicle.Xianghua Ma, Zhenkun Yang & Shining Chen - 2021 - Complexity 2021:1-11.
    For unmanned aerial vehicle, object detection at different scales is an important component for the visual recognition. Recent advances in convolutional neural networks have demonstrated that attention mechanism remarkably enhances multiscale representation of CNNs. However, most existing multiscale feature representation methods simply employ several attention blocks in the attention mechanism to adaptively recalibrate the feature response, which overlooks the context information at a multiscale level. To solve this problem, a multiscale feature filtering network is proposed in (...)
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  26.  73
    From the neutral theory to a comprehensive and multiscale theory of ecological equivalence.François Munoz & Philippe Huneman - unknown
    The neutral theory of biodiversity assumes that coexisting organisms are equally able to survive, reproduce and disperse, but predicts that stochastic fluctuations of these abilities drive diversity dynamics. It predicts remarkably well many biodiversity patterns, although substantial evidence for the role of niche variation across organisms seems contradictory. Here, we discuss this apparent paradox by exploring the meaning and implications of ecological equivalence. We address the question whether neutral theory provides an explanation for biodiversity patterns and acknowledges causal processes. We (...)
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  27.  18
    Multiscale modeling of the brain should be validated in more detail against the biological data.Harry R. Erwin - 1996 - Behavioral and Brain Sciences 19 (2):297-298.
    Wright & Liley provide an advance in addressing the interaction of multiple scales of processing in the brain. It should address in more detail the biological evidence that underlies the models it proposes to replace.
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  28.  41
    Multiscale modeling of brain dynamics depends upon approximations at each scale.J. J. Wright & D. T. J. Liley - 1996 - Behavioral and Brain Sciences 19 (2):310-320.
    We outline fresh findings that show that our macroscopic electrocorticographic (ECoG) simulations can account for synchronous multiunit pulse oscillations at separate, simultaneously activated cortical sites and the associated gamma-band ECoG activity. We clarify our views on the approximations of dynamic class applicable to neural events at macroscopic and microscopic scales, and the analogies drawn to classes of ANN behaviour. We accept the need to introduce memory processes and detailed anatomical and physiological information into any future developments of our simulations. On (...)
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  29.  12
    An Adaptive Method Based on Multiscale Dilated Convolutional Network for Binaural Speech Source Localization.Lulu Wu, Hong Liu, Bing Yang & Runwei Ding - 2020 - Complexity 2020:1-7.
    Most binaural speech source localization models perform poorly in unprecedentedly noisy and reverberant situations. Here, this issue is approached by modelling a multiscale dilated convolutional neural network. The time-related crosscorrelation function and energy-related interaural level differences are preprocessed in separate branches of dilated convolutional network. The multiscale dilated CNN can encode discriminative representations for CCF and ILD, respectively. After encoding, the individual interaural representations are fused to map source direction. Furthermore, in order to improve the parameter adaptation, (...)
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  30. Taming the tyranny of scales: models and scale in the geosciences.Alisa Bokulich - 2021 - Synthese 199 (5-6):14167-14199.
    While the predominant focus of the philosophical literature on scientific modeling has been on single-scale models, most systems in nature exhibit complex multiscale behavior, requiring new modeling methods. This challenge of modeling phenomena across a vast range of spatial and temporal scales has been called the tyranny of scales problem. Drawing on research in the geosciences, I synthesize and analyze a number of strategies for taming this tyranny in the context of conceptual, physical, and mathematical modeling. This includes several (...)
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  31.  12
    Analysis of the Spatial Distribution Pattern of the Urban Landscape in the Central Plains under the Influence of Multiscale and Multilevel Morphological Geomorphology.Hongxiang Li, Ting Zhao & Nan Ge - 2021 - Complexity 2021:1-10.
    This paper presents an in-depth analysis and research on the spatial distribution pattern of the urban landscape in the Central Plains digital landscape form and proposes an optimization scheme. Based on the basic theories of systematics and complexity, this paper analyzes the self-similar characteristics of urban morphology, establishes the concept of schema, and constructs a multiscale and multilevel morphological map research framework by drawing on the “planar pattern” morphological analysis method of the school and the “matrix, patch, and corridor” (...)
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  32.  20
    Putting concepts and data together again.Franck Varenne - unknown
    Data do not belong to predictive analytics only. Neither do concepts belong to theoretical modeling only. This talk will explore and question the changing relationships between data and concepts in models today, especially in the case of multiscale models. It will show that there are different types of integrative models, and that some are new. These new integrative models take their part in a cycling methodology of modeling where measures, estimations, reconstructions, simulations, concept-driven models and mathematics interact and take (...)
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  33. Distributed Truth-Telling: A Model for Moral Revolution and Epistemic Justice in Australia.Nicolas J. Bullot & Stephen W. Enciso - forthcoming - Australasian Journal of Philosophy.
    This article provides a philosophical response to the need for truth-telling about colonial history, focussing on the Australian context. The response consists in inviting philosophers and the public to engage in social-justice practices specified by a model called Distributed Truth-Telling (DTT), which integrates the historiography of injustices affecting Indigenous peoples with insights from social philosophy and cultural evolution theory. By contrast to official and large-scale truth commissions, distributed truth-telling is a set of non-elitist practices that weave three components: first, multisite, (...)
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  34.  36
    Associations between Socioeconomic Status, Cognition, and Brain Structure: Evaluating Potential Causal Pathways Through Mechanistic Models of Development.Michael S. C. Thomas & Selma Coecke - 2023 - Cognitive Science 47 (1):e13217.
    Differences in socioeconomic status (SES) correlate both with differences in cognitive development and in brain structure. Associations between SES and brain measures such as cortical surface area and cortical thickness mediate differences in cognitive skills such as executive function and language. However, causal accounts that link SES, brain, and behavior are challenging because SES is a multidimensional construct: correlated environmental factors, such as family income and parental education, are only distal markers for proximal causal pathways. Moreover, the causal accounts themselves (...)
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  35.  18
    Complex Dynamical Behavior in the Shear-Displacement Model for Bulk Metallic Glasses during Plastic Deformation.Cun Chen, Shaokang Guan & Liying Zhang - 2018 - Complexity 2018:1-13.
    In this paper, a fresh shear-displacement model is developed for the plastic deformation of the bulk metallic glasses. The multiscale behavior in the shear banding process and the dynamics transition with the parameters are investigated in analytical form. We present a theoretical support for the transition from unstable states to stable states in the experiment by multiscale analysis and the stability analysis. With the small parameter increasing from negative to positive, the stability of the shear slipping displacement system (...)
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  36. ΛCDM and MOND: A debate about models or theory?Melissa Jacquart - 2021 - Studies in History and Philosophy of Science Part A 89 (C):226-234.
    The debate between ΛCDM and MOND is often cast in terms of competing gravitational theories. However, recent philosophical discussion suggests that the ΛCDM–MOND debate demonstrates the challenges of multiscale modeling in the context of cosmological scales. I extend this discussion and explore what happens when the debate is thought to be about modeling rather than about theory, offering a model-focused interpretation of the ΛCDM–MOND debate. This analysis shows how a model-focused interpretation of the debate provides a better understanding of (...)
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  37.  11
    Deep Learning Algorithm-Based Financial Prediction Models.Helin Jia - 2021 - Complexity 2021:1-9.
    In this paper, a new FEPA portfolio forecasting model is based on the EMD decomposition method. The model is based on the special empirical modal decomposition of financial time series, principal component analysis, and artificial neural network to model and forecast for nonlinear, nonstationary, multiscale complex financial time series to predict stock market indices and foreign exchange rates and empirically investigate this hot area in financial market research. The combined forecasting model proposed in this paper is based on the (...)
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  38.  18
    Commodity Image Classification Based on Improved Bag-of-Visual-Words Model.Huadong Sun, Xu Zhang, Xiaowei Han, Xuesong Jin & Zhijie Zhao - 2021 - Complexity 2021:1-10.
    With the increasing scale of e-commerce, the complexity of image content makes commodity image classification face great challenges. Image feature extraction often determines the quality of the final classification results. At present, the image feature extraction part mainly includes the underlying visual feature and the intermediate semantic feature. The intermediate semantics of the image acts as a bridge between the underlying features and the advanced semantics of the image, which can make up for the semantic gap to a certain extent (...)
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  39. Diversifying the picture of explanations in biological sciences: ways of combining topology with mechanisms.Philippe Huneman - 2018 - Synthese 195 (1):115-146.
    Besides mechanistic explanations of phenomena, which have been seriously investigated in the last decade, biology and ecology also include explanations that pinpoint specific mathematical properties as explanatory of the explanandum under focus. Among these structural explanations, one finds topological explanations, and recent science pervasively relies on them. This reliance is especially due to the necessity to model large sets of data with no practical possibility to track the proper activities of all the numerous entities. The paper first defines topological explanations (...)
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  40.  27
    A Solution to the Biodiversity Paradox by Logical Deterministic Cellular Automata.Vyacheslav L. Kalmykov & Lev V. Kalmykov - 2015 - Acta Biotheoretica 63 (2):203-221.
    The paradox of biological diversity is the key problem of theoretical ecology. The paradox consists in the contradiction between the competitive exclusion principle and the observed biodiversity. The principle is important as the basis for ecological theory. On a relatively simple model we show a mechanism of indefinite coexistence of complete competitors which violates the known formulations of the competitive exclusion principle. This mechanism is based on timely recovery of limiting resources and their spatio-temporal allocation between competitors. Because of limitations (...)
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  41.  52
    On religious practices as multi-scale active inference: Certainties emerging from recurrent interactions within and across individuals and groups.Inês Hipólito & Casper Hesp - 2023 - In Robert Vinten (ed.), Wittgenstein and the Cognitive Science of Religion: Interpreting Human Nature and the Mind. London: Bloomsbury Academic. pp. 179-198.
    This chapter takes inspiration from Wittgenstein’s thinking to formulate a non-reductive toolbox for the study of religion associated with generative modelling, specifically as applied in complex adaptive systems theory. It converges on a communal perspective on religion as multiscale active inference that contrasts starkly with common ‘straw person’ perspectives on religion that reduce it to ‘erroneous’ theorising generated by the brain. In contrast, we argue, religious practices at the enculturated level of description involve implicit and explicit meanings, experienced (...)
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  42.  36
    Coordination Dynamics: A Foundation for Understanding Social Behavior.Emmanuelle Tognoli, Mengsen Zhang, Armin Fuchs, Christopher Beetle & J. A. Scott Kelso - 2020 - Frontiers in Human Neuroscience 14:531499.
    Humans’ interactions with each other or with socially competent machines exhibit lawful coordination patterns at multiple levels of description. According to Coordination Dynamics, such laws specify the flow of coordination states produced by functional synergies of elements (e.g., cells, body parts, brain areas, people…) that are temporarily organized as single, coherent units. These coordinative structures or synergies may be mathematically characterized as informationally coupled self-organizing dynamical systems (Coordination Dynamics). In this paper, we start from a simple foundation, an elemental model (...)
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  43. Scientific perspectivism: A philosopher of science’s response to the challenge of big data biology.Werner Callebaut - 2012 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (1):69-80.
    Big data biology—bioinformatics, computational biology, systems biology (including ‘omics’), and synthetic biology—raises a number of issues for the philosophy of science. This article deals with several such: Is data-intensive biology a new kind of science, presumably post-reductionistic? To what extent is big data biology data-driven? Can data ‘speak for themselves?’ I discuss these issues by way of a reflection on Carl Woese’s worry that “a society that permits biology to become an engineering discipline, that allows that science to slip into (...)
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  44.  45
    Seeking Synthesis: The Integrative Problem in Understanding Language and Its Evolution.Rick Dale, Christopher T. Kello & P. Thomas Schoenemann - 2016 - Topics in Cognitive Science 8 (2):371-381.
    We discuss two problems for a general scientific understanding of language, sequences and synergies: how language is an intricately sequenced behavior and how language is manifested as a multidimensionally structured behavior. Though both are central in our understanding, we observe that the former tends to be studied more than the latter. We consider very general conditions that hold in human brain evolution and its computational implications, and identify multimodal and multiscale organization as two key characteristics of emerging cognitive function (...)
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  45.  12
    Science and Ecological Economics: Integrating of the Study of Humans and the Rest of Nature.Robert Costanza - 2009 - Bulletin of Science, Technology and Society 29 (5):358-373.
    Ecological economics is a transdisciplinary field that seeks to integrate the study of humans and the rest of nature as the basis for the creation of a sustainable and desirable future. It seeks to dissolve the barriers between the traditional disciplines and achieve a true consilience of all the sciences and humanities. This consilient, transdisciplinary science represents a rebalancing of analysis and synthesis; a recognition of the central role of envisioning in science; a pragmatic philosophy built on complex systems theory, (...)
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  46.  23
    Local impacts, global sources: The governance of boundary-crossing chemicals.Hugh S. Gorman, Valoree S. Gagnon & Emma S. Norman - 2016 - History of Science 54 (4):443-459.
    Over the last half century, a multijurisdictional, multiscale system of governance has emerged to address concerns associated with toxic chemicals that have the capacity to bioaccumulate in organisms and biomagnify in food chains, leading to fish consumption advisories. Components of this system of governance include international conventions (such as the Stockholm Convention on Persistent Organic Pollutants and the Minamata Convention on Mercury), laws enacted by nation states and their subjurisdictions, and efforts to adaptively manage regional ecosystems (such as the (...)
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  47.  18
    Electroencephalogram Access for Emotion Recognition Based on a Deep Hybrid Network.Qinghua Zhong, Yongsheng Zhu, Dongli Cai, Luwei Xiao & Han Zhang - 2020 - Frontiers in Human Neuroscience 14.
    In the human-computer interaction, electroencephalogram access for automatic emotion recognition is an effective way for robot brains to perceive human behavior. In order to improve the accuracy of the emotion recognition, a method of EEG access for emotion recognition based on a deep hybrid network was proposed in this paper. Firstly, the collected EEG was decomposed into four frequency band signals, and the multiscale sample entropy features of each frequency band were extracted. Secondly, the constructed 3D MSE feature matrices (...)
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  48.  46
    Scale Dependency and Downward Causation in Biology.Sara Green - 2018 - Philosophy of Science 85 (5):998-1011.
    This paper argues that scale-dependence of physical and biological processes offers resistance to reductionism and has implications that support a specific kind of downward causation. I demonstrate how insights from multiscale modeling can provide a concrete mathematical interpretation of downward causation as boundary conditions for models used to represent processes at lower scales. The autonomy and role of macroscale parameters and higher-level constraints are illustrated through examples of multiscale modeling in physics, developmental biology, and systems biology. Drawing on (...)
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  49.  19
    Migraciones y (Des) usos del sistema de salud. Narrativas sobre dificultades de acceso y estrategias de atención/autoatención en un barrio periurbano de La Matanza.Yamila Soledad Abal - 2021 - Revista de Filosofía y Teoría Política 51:033-033.
    In the context of the PICT 3166/2015 Project “Migrations, Interculturality and Territory: Multiscale Mapping on Social Inclusion”, we have developed a line of research to explore the specific characteristics of the health-disease-care process in peri urban neighborhoods in González Catán inhabited by impoverished social groups whose lives are shaped by diverse moving experiences. Based on a qualitative approach, we analyze the accounts of those living in the neighborhood, exploring the juxtaposition of different inequalities, how this affects healthcare access, and (...)
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  50.  29
    Hybrid Nature: Effects on Environmental Fundamentals and Species’ Semiosis.Almo Farina - 2020 - Biosemiotics 13 (1):21-40.
    In hybrid nature that results from a random mix of technological infrastructures and natural ecosystems, environmental fundamentals are modified producing dramatic effects on the semiosis of several species. Human intrusion in ecosystems creates new spatial configurations that have a reduced ecological complexity when compared with systems less affected by human manipulation. This causes cascading effects on other environmental fundamentals. F.i., systems that face a low complexity, are more exposed to changes that in turn can reduce the performances of individual species (...)
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