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Journal of Symbolic Logic 62 (3):1048-1055 (1997)

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  1. The building blocks of complexity: a unified criterion and selected applications in risk management.Detlef Seese & Frank Schlottmann - forthcoming - Complexity.
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  • Racial Exclusion and the Political Economy of the Subprime Crisis.Gary Dymski - 2009 - Historical Materialism 17 (2):149-179.
    This paper develops a political economic explanation of the 2007–9 US subprime crisis which focuses on one of its central causes: the transformation of racial exclusion in US mortgage-markets. Until the early 1990s, racial minorities were systematically excluded from mortgage-finance due to bank-redlining and discrimination. But, then, racial exclusion in credit-markets was transformed: racial minorities were increasingly given access to housing-credit under terms far more adverse than were offered to non-minority borrowers. This paper shows that the emergence of the subprime (...)
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  • Lowness properties and approximations of the jump.Santiago Figueira, André Nies & Frank Stephan - 2008 - Annals of Pure and Applied Logic 152 (1):51-66.
    We study and compare two combinatorial lowness notions: strong jump-traceability and well-approximability of the jump, by strengthening the notion of jump-traceability and super-lowness for sets of natural numbers. A computable non-decreasing unbounded function h is called an order function. Informally, a set A is strongly jump-traceable if for each order function h, for each input e one may effectively enumerate a set Te of possible values for the jump JA, and the number of values enumerated is at most h. A′ (...)
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  • Almost everywhere domination and superhighness.Stephen G. Simpson - 2007 - Mathematical Logic Quarterly 53 (4):462-482.
    Let ω be the set of natural numbers. For functions f, g: ω → ω, we say f is dominated by g if f < g for all but finitely many n ∈ ω. We consider the standard “fair coin” probability measure on the space 2ω of in-finite sequences of 0's and 1's. A Turing oracle B is said to be almost everywhere dominating if, for measure 1 many X ∈ 2ω, each function which is Turing computable from X is (...)
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  • (1 other version)Annals of Pure and Applied Logic. [REVIEW]Itay Neeman - 2003 - Bulletin of Symbolic Logic 9 (3):414-416.
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  • The difference between optimality and universality.Kenshi Miyabe - 2012 - Logic Journal of the IGPL 20 (1):222-234.
    We discuss the difference between optimality and universality. The sequence of measures of a universal test is well studied. To analyze the sequence of measures of an optimal Martin-Löf test, we introduce uniform Solovay reducibility. Solovay reducibility is a measure of relative randomness between two reals. In contrast uniform Solovay reducibility is a measure of relative randomness between two sequences of reals. Finally we prove that a sequence is uniform Solovay complete iff it is the sequence of measures of an (...)
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  • Randomness and the linear degrees of computability.Andrew Em Lewis & George Barmpalias - 2007 - Annals of Pure and Applied Logic 145 (3):252-257.
    We show that there exists a real α such that, for all reals β, if α is linear reducible to β then β≤Tα. In fact, every random real satisfies this quasi-maximality property. As a corollary we may conclude that there exists no ℓ-complete Δ2 real. Upon realizing that quasi-maximality does not characterize the random reals–there exist reals which are not random but which are of quasi-maximal ℓ-degree–it is then natural to ask whether maximality could provide such a characterization. Such hopes, (...)
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  • Randomness, computation and mathematics.Rod Downey - 2012 - In S. Barry Cooper (ed.), How the World Computes. pp. 162--181.
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  • Asymptotic density and computably enumerable sets.Rodney G. Downey, Carl G. Jockusch & Paul E. Schupp - 2013 - Journal of Mathematical Logic 13 (2):1350005.
    We study connections between classical asymptotic density, computability and computable enumerability. In an earlier paper, the second two authors proved that there is a computably enumerable set A of density 1 with no computable subset of density 1. In the current paper, we extend this result in three different ways: The degrees of such sets A are precisely the nonlow c.e. degrees. There is a c.e. set A of density 1 with no computable subset of nonzero density. There is a (...)
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  • The complexity of orbits of computably enumerable sets.Peter A. Cholak, Rodney Downey & Leo A. Harrington - 2008 - Bulletin of Symbolic Logic 14 (1):69 - 87.
    The goal of this paper is to announce there is a single orbit of the c.e. sets with inclusion, ε, such that the question of membership in this orbit is ${\Sigma _1^1 }$ -complete. This result and proof have a number of nice corollaries: the Scott rank of ε is $\omega _1^{{\rm{CK}}}$ + 1; not all orbits are elementarily definable; there is no arithmetic description of all orbits of ε; for all finite α ≥ 9, there is a properly $\Delta (...)
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  • On Schnorr and computable randomness, martingales, and machines.Rod Downey, Evan Griffiths & Geoffrey Laforte - 2004 - Mathematical Logic Quarterly 50 (6):613-627.
    We examine the randomness and triviality of reals using notions arising from martingales and prefix-free machines.
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  • Propagation of partial randomness.Kojiro Higuchi, W. M. Phillip Hudelson, Stephen G. Simpson & Keita Yokoyama - 2014 - Annals of Pure and Applied Logic 165 (2):742-758.
    Let f be a computable function from finite sequences of 0ʼs and 1ʼs to real numbers. We prove that strong f-randomness implies strong f-randomness relative to a PA-degree. We also prove: if X is strongly f-random and Turing reducible to Y where Y is Martin-Löf random relative to Z, then X is strongly f-random relative to Z. In addition, we prove analogous propagation results for other notions of partial randomness, including non-K-triviality and autocomplexity. We prove that f-randomness relative to a (...)
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  • Análisis antropológico-técnico de la obra de Juan Downey: Aproximaciones teórico-metodológicas a su antropología visual.Emilio Adolfo Guzmán Lagreze - 2018 - Revista de Humanidades de Valparaíso 12:187-207.
    The aim of this text is to develop an epistemological-technique approach which permit analyze the work of Juan Downey, and his use of technical medias and also include the struggle against the State in the political and cultural model of the primitive societies of the Yano- mani, particularly by the work of Pierre Clastres and Jacques Lizot, and also their point of view of the methods of production in the societies of abundance, as theorized the anthropologist Marshall Sahlins, considering these (...)
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  • Kolmogorov complexity and computably enumerable sets.George Barmpalias & Angsheng Li - 2013 - Annals of Pure and Applied Logic 164 (12):1187-1200.
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  • On strongly jump traceable reals.Keng Meng Ng - 2008 - Annals of Pure and Applied Logic 154 (1):51-69.
    In this paper we show that there is no minimal bound for jump traceability. In particular, there is no single order function such that strong jump traceability is equivalent to jump traceability for that order. The uniformity of the proof method allows us to adapt the technique to showing that the index set of the c.e. strongly jump traceables is image-complete.
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  • The Kolmogorov complexity of random reals.Liang Yu, Decheng Ding & Rodney Downey - 2004 - Annals of Pure and Applied Logic 129 (1-3):163-180.
    We investigate the initial segment complexity of random reals. Let K denote prefix-free Kolmogorov complexity. A natural measure of the relative randomness of two reals α and β is to compare complexity K and K. It is well-known that a real α is 1-random iff there is a constant c such that for all n, Kn−c. We ask the question, what else can be said about the initial segment complexity of random reals. Thus, we study the fine behaviour of K (...)
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  • Highness and bounding minimal pairs.Rodney G. Downey, Steffen Lempp & Richard A. Shore - 1993 - Mathematical Logic Quarterly 39 (1):475-491.
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  • On very high degrees.Keng Meng Ng - 2008 - Journal of Symbolic Logic 73 (1):309-342.
    In this paper we show that there is a pair of superhigh r.e. degree that forms a minimal pair. An analysis of the proof shows that a critical ingredient is the growth rates of certain order functions. This leads us to investigate certain high r.e. degrees, which resemble ∅′ very closely in terms of ∅′-jump traceability. In particular, we will construct an ultrahigh degree which is cappable.
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  • Czego informatycy nauczyli się od Andrzeja Grzegorczyka?Andrzej Salwicki - 2012 - Studies in Logic, Grammar and Rhetoric 27 (40).
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  • Relativizing chaitin's halting probability.Rod Downey, Denis R. Hirschfeldt, Joseph S. Miller & André Nies - 2005 - Journal of Mathematical Logic 5 (02):167-192.
    As a natural example of a 1-random real, Chaitin proposed the halting probability Ω of a universal prefix-free machine. We can relativize this example by considering a universal prefix-free oracle machine U. Let [Formula: see text] be the halting probability of UA; this gives a natural uniform way of producing an A-random real for every A ∈ 2ω. It is this operator which is our primary object of study. We can draw an analogy between the jump operator from computability theory (...)
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  • (2 other versions)Descriptive Complexity Theories.Joerg Flum - 2010 - Theoria 18 (1):47-58.
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  • Elementary differences between the degrees of unsolvability and degrees of compressibility.George Barmpalias - 2010 - Annals of Pure and Applied Logic 161 (7):923-934.
    Given two infinite binary sequences A,B we say that B can compress at least as well as A if the prefix-free Kolmogorov complexity relative to B of any binary string is at most as much as the prefix-free Kolmogorov complexity relative to A, modulo a constant. This relation, introduced in Nies [14] and denoted by A≤LKB, is a measure of relative compressing power of oracles, in the same way that Turing reducibility is a measure of relative information. The equivalence classes (...)
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