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Titlebook: Epistemology versus Ontology; Essays on the Philos P. Dybjer,Sten Lindstr?m,G. Sundholm Book 2012 Springer Science+Business Media Dordrecht

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樓主: retort
41#
發(fā)表于 2025-3-28 15:35:03 | 只看該作者
42#
發(fā)表于 2025-3-28 19:35:04 | 只看該作者
43#
發(fā)表于 2025-3-29 02:51:58 | 只看該作者
Erratum to: Die Innervation der Capillaren,ntially infinite converging sequences of rationals. Like Kant, Brouwer based his foundations of mathematics on the a priori intuition of time, but unlike Kant, Brouwer did identify this root with a potentially infinite sequence. In this paper I discuss the systematical reasons why in Kant’s philosophy this identification is impossible.
44#
發(fā)表于 2025-3-29 04:17:26 | 只看該作者
https://doi.org/10.1057/9780333993828t types. The argument was constructive, and so contains implicitly an algorithm which computes a witness that a given functional is uniformly continuous. We present here such an algorithm, which provides a possible computational interpretation of forcing.
45#
發(fā)表于 2025-3-29 10:44:55 | 只看該作者
46#
發(fā)表于 2025-3-29 15:17:21 | 只看該作者
Andrés M. Rousselot,Jing Zhang,Huaigui Liurnate. Grammatical Frameword (GF) is introduced as an approach that uses type theory to provide high-quality translation between multiple languages. GF translation is fundamentally grammar-based but can be combined with statistical methods such as learning translation models from a corpus and ranking translation candidates by probabilities.
47#
發(fā)表于 2025-3-29 16:41:42 | 只看該作者
Kant and Real Numbersntially infinite converging sequences of rationals. Like Kant, Brouwer based his foundations of mathematics on the a priori intuition of time, but unlike Kant, Brouwer did identify this root with a potentially infinite sequence. In this paper I discuss the systematical reasons why in Kant’s philosophy this identification is impossible.
48#
發(fā)表于 2025-3-29 21:14:27 | 只看該作者
49#
發(fā)表于 2025-3-30 01:50:23 | 只看該作者
50#
發(fā)表于 2025-3-30 05:50:33 | 只看該作者
Machine Translation and Type Theoryrnate. Grammatical Frameword (GF) is introduced as an approach that uses type theory to provide high-quality translation between multiple languages. GF translation is fundamentally grammar-based but can be combined with statistical methods such as learning translation models from a corpus and ranking translation candidates by probabilities.
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