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Olympiad-level formal mathematical reasoning with reinforcement learning. [PDF]
Hubert T +38 more
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Ontologies in modelling and analysing of big genetic data. [PDF]
Podkolodnyy NL +3 more
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<i>N</i> =1 Super Virasoro Tensor Categories. [PDF]
Creutzig T +3 more
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HECM-Plus: Hyper-Entropy Enhanced Cloud Models for Uncertainty-Aware Design Evaluation in Multi-Expert Decision Systems. [PDF]
Pu J, Liu Z.
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A general strategy for generating expert-guided, simplified views of ontologies. [PDF]
Caron AR +14 more
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Digital evolution: Novo Nordisk's shift to ontology-based data management. [PDF]
Tan SZK +11 more
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Studia Logica, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2022
Abstract This chapter is concerned with the appeal and demands of axiomatization. The appeal of axiomatization is that of capturing the entire infinite truth about a subject in a finite stock of basic principles and rules. If we can achieve that, it will not only help us to make sense of the subject; it will also help us to make sense of
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Abstract This chapter is concerned with the appeal and demands of axiomatization. The appeal of axiomatization is that of capturing the entire infinite truth about a subject in a finite stock of basic principles and rules. If we can achieve that, it will not only help us to make sense of the subject; it will also help us to make sense of
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Hilbert's axiomatic method and Carnap's general axiomatics
Studies in History and Philosophy of Science Part A, 2015This paper compares the axiomatic method of David Hilbert and his school with Rudolf Carnap's general axiomatics that was developed in the late 1920s, and that influenced his understanding of logic of science throughout the 1930s, when his logical pluralism developed.
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