This paper presents a generalized paradigm for formal learning theory, of which language leamability and recursive function identification are special cases ...
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This paper presents a generalized paradigm for formal learning theory, of which language leamability and recursive function identification are special cases.
Learning theory and descriptive set theory. Cite Download (931.27 kB) Share Embed. journal contribution. posted on 1992-01-01, 00:00 authored by Kevin T. Kelly.
[PDF] INTRODUCTION TO DESCRIPTIVE SET THEORY Mathematicians in ...
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Descriptive set theory has found applications in harmonic analysis, dynamical systems, functional analysis, and various other areas of mathematics. Many of the ...
Learning Theory and Descriptive Set Theory. Cite Download (925.29 kB) Share Embed. journal contribution. posted on 1992-05-01, 00:00 authored by Kevin T. Kelly.
All three properties were to become of central concern in descriptive set theory for, unlike the Borel sets, there did not seem to be any hierarchical analysis, ...
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Descriptive Set Theory is the study of sets in separable, complete metric spaces that can be defined (or constructed), and so can be expected to have special ...
Sep 5, 2023 · Abstract. In this paper we investigate explanatory proofs in mathematics. We do this via an extended case study from descriptive set theory.
Dec 14, 2019 · Our central motivation is in applications of the effective theory to theorems of classical (boldface) descriptive set theory, especially ...
In mathematical logic, descriptive set theory (DST) is the study of certain classes of well-behaved subsets of the real line and other Polish spaces.