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Titlebook: Examining Schellenberg‘s Hiddenness Argument; Veronika Weidner Book 2018 The Editor(s) (if applicable) and The Author(s) 2018 J. L. Schell

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發(fā)表于 2025-3-25 05:12:18 | 只看該作者
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發(fā)表于 2025-3-25 13:37:58 | 只看該作者
2634-6176 cessary in order to personally relate to God. Even though a plausible case is made that the hiddenness argument is unsound, it is beyond dispute that the argument deserves more serious reflection by theists and978-3-030-40496-3978-3-319-97517-7Series ISSN 2634-6176 Series E-ISSN 2634-6184
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發(fā)表于 2025-3-25 18:19:16 | 只看該作者
Book 2018nges the truth of one specific subpremise, according to which belief that God exists is necessary in order to personally relate to God. Even though a plausible case is made that the hiddenness argument is unsound, it is beyond dispute that the argument deserves more serious reflection by theists and
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發(fā)表于 2025-3-25 22:45:22 | 只看該作者
Introduction,he hiddenness argument resembles the argument from evil, both of which conclude that there is no God. The book’s research question states: Why, if there is a God, is God’s existence not evident to everyone? Weidner approaches the book from a theistic viewpoint using an analytic style of philosophy.
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發(fā)表于 2025-3-26 02:02:19 | 只看該作者
Setting the StageIn that context, the term has been taken in a literal sense, presupposing that there is a God who is in some sense hidden. Weidner elucidates two of the senses in which God has been claimed to be hidden, which include the hiddenness of his presence and essence, and two of the senses in which God has
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發(fā)表于 2025-3-26 04:46:50 | 只看該作者
Its Most Recent Statementdentialistic. Moreover, Weidner introduces and discusses the relevance of the terms propositional hiddenness, experiential hiddenness, experiential evidence, and propositional evidence. The bulk of the chapter consists of a much-needed exposition of the details of the hiddenness argument and its pre
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A Compressive Sensing Based Channel Estimator and Detection System for MIMO-OFDMA System,erse matrix. This paper, compressive sensing based low complexity detection is introduced to have less complex channel estimation and detection for MIMO-OFDMA receiver with same antenna. The final outcome of the proposed system indicates the improvement in BER which further allows minimizing the computational cost.
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