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Primeiramente a Deus, pela saúde e força que me foram concedidas durante toda a trajetória de mais esta etapa.
Curso Básico Excel 2010. Muito bom!
As I see it, then, a great part of understanding the history and philosophy of early modern social epistemology depends on understanding on what the Rylean picture amounts to and how it functions. I shall argue that the Rylean picture needs to be both taken seriously and challenged. To do so, I will begin by (1) considering its features as a historiographical narrative and (2) zoom in on the conceptual connection between dualism and individualism. Then I'll (3) set out a challenge to this narrative, especially by considering Spinoza's approach, introduce an objection against the challenge and (4) return to the question of adequacy in Ryle's narrative. 1. "Descartes' Myth" and the Adequacy of Narratives Gilbert Ryle's book The Concept of Mind is famous for a number of advances in epistemology and the philosophy of mind. One of its main aims is to overcome what Ryle calls "Descartes' Myth", i.e. the idea that our clinging to mind-body dualism is owing the absurd but "official doctrine" according to which mind and matter are in polar opposition to one another. While Ryle is mainly interested in promoting a different understanding of the mind that places intelligence in our behaviour rather than in a separate "mental realm", his approach also informs the way we conceive of the history of philosophy of mind and epistemology. Studies of early modern concepts of mind commonly start from the assumption that Ryle's account is by and large correct. In this sense, Ryle's account presents us with what is often called a historiographical narrative, i.e. a general story of how and why something evolved that underlies most research projects. One core idea of this narrative is that, in the wake of Descartes' account of the mind, the mind is taken to be private and inaccessible by other humans. In this sense, the Rylean narrative captures what is known as Thiel, Udo. 2011.
2021
In this article we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI's greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based, and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combatting climate change, while reducing its impact on the environment.
Geochemistry: Exploration, Environment, Analysis, 2019
Multi-element geochemical surveys of rocks, soils, stream/lake/floodplain sediments and regolith are typically carried out at continental, regional and local scales. The chemistry of these materials is defined by their primary mineral assemblages and their subsequent modification by comminution and weathering. Modern geochemical datasets represent a multi-dimensional geochemical space that can be studied using multivariate statistical methods from which patterns reflecting geochemical/geological processes are described (process discovery). These patterns form the basis from which probabilistic predictive maps are created (process validation). Processing geochemical survey data requires a systematic approach to effectively interpret the multi-dimensional data in a meaningful way. Problems that are typically associated with geochemical data include closure, missing values, censoring, merging, levelling different datasets and adequate spatial sample design. Recent developments in advanced multivariate analytics, geospatial analysis and mapping provide an effective framework to analyse and interpret geochemical datasets. Geochemical and geological processes can often be recognized through the use of data discovery procedures such as the application of principal component analysis. Classification and predictive procedures can be used to confirm lithological variability, alteration and mineralization. Geochemical survey data of lake/till sediments from Canada and of floodplain sediments from Australia show that predictive maps of bedrock and regolith processes can be generated. Upscaling a multivariate statistics-based prospectivity analysis for arc-related Cu-Au mineralization from a regional survey in the southern Thomson Orogen in Australia to the continental scale, reveals a number of regions with a similar (or stronger) multivariate response and hence potentially similar (or higher) mineral potential throughout Australia.
Dossiers documentaires, 2018
Le « Féminisme islamique » est un courant de pensée relativement récent, de production intellectuelle, autour d'un corpus religieux, alimenté par un réseau transnational de militantes dans des contextes socio-politiques très contrastés. L’objectif de cet article est de dresser le panorama des luttes communes et des modalités d’action des différents collectifs qui l’animent, pour réfléchir dans un deuxième temps au degré d’institutionnalisation atteint par ces groupes de militantes. Chemin faisant, nous approfondirons la pensée de quelques figures émergentes de ce courant, au fur et à mesure de son institutionnalisation, à savoir Amina Wadud (USA) et Asma Lamrabet (Maroc), dont nous contextualiserons la trajectoire académique et/ou politique. Auteures : Ghaliya Djelloul & Naïma El'Makrini.
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