Results for 'random structures'

991 found
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  1.  22
    Homogeneous 1‐based structures and interpretability in random structures.Vera Koponen - 2017 - Mathematical Logic Quarterly 63 (1-2):6-18.
    Let V be a finite relational vocabulary in which no symbol has arity greater than 2. Let be countable V‐structure which is homogeneous, simple and 1‐based. The first main result says that if is, in addition, primitive, then it is strongly interpretable in a random structure. The second main result, which generalizes the first, implies (without the assumption on primitivity) that if is “coordinatized” by a set with SU‐rank 1 and there is no definable (without parameters) nontrivial equivalence relation (...)
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  2.  16
    Convergence Laws for Very Sparse Random Structures with Generalized Quantifiers.Risto Kaila - 2002 - Mathematical Logic Quarterly 48 (2):301-320.
    We prove convergence laws for logics of the form equation image, where equation image is a properly chosen collection of generalized quantifiers, on very sparse finite random structures. We also study probabilistic collapsing of the logics equation image, where equation image is a collection of generalized quantifiers and k ∈ ℕ+, under arbitrary probability measures of finite structures.
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  3.  51
    On the Unification of Geometric and Random Structures through Torsion Fields: Brownian Motions, Viscous and Magneto-fluid-dynamics.Diego L. Rapoport - 2005 - Foundations of Physics 35 (7):1205-1244.
    We present the unification of Riemann–Cartan–Weyl (RCW) space-time geometries and random generalized Brownian motions. These are metric compatible connections (albeit the metric can be trivially euclidean) which have a propagating trace-torsion 1-form, whose metric conjugate describes the average motion interaction term. Thus, the universality of torsion fields is proved through the universality of Brownian motions. We extend this approach to give a random symplectic theory on phase-space. We present as a case study of this approach, the invariant Navier–Stokes (...)
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  4. The structure of random utility models.Charles F. Manski - 1977 - Theory and Decision 8 (3):229-254.
  5.  49
    The structure of vitreous silica: Validity of the random network theory.R. J. Bell & P. Dean - 1972 - Philosophical Magazine 25 (6):1381-1398.
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  6.  12
    Random ℓ‐colourable structures with a pregeometry.Ove Ahlman & Vera Koponen - 2017 - Mathematical Logic Quarterly 63 (1-2):32-58.
    We study finite ℓ‐colourable structures with an underlying pregeometry. The probability measure that is used corresponds to a process of generating such structures by which colours are first randomly assigned to all 1‐dimensional subspaces and then relationships are assigned in such a way that the colouring conditions are satisfied but apart from this in a random way. We can then ask what the probability is that the resulting structure, where we now forget the specific colouring of the (...)
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  7.  8
    The structure of random automorphisms of the random graph.Udayan B. Darji, Márton Elekes, Kende Kalina, Viktor Kiss & Zoltán Vidnyánszky - 2022 - Annals of Pure and Applied Logic 173 (9):103152.
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  8.  25
    The complexity of random ordered structures.Joel H. Spencer & Katherine St John - 2008 - Annals of Pure and Applied Logic 152 (1):174-179.
    We show that for random bit strings, Up, with probability, image, the first order quantifier depth D) needed to distinguish non-isomorphic structures is Θ, with high probability. Further, we show that, with high probability, for random ordered graphs, G≤,p with edge probability image, D)=Θ, contrasting with the results for random graphs, Gp, given by Kim et al. [J.H. Kim, O. Pikhurko, J. Spencer, O. Verbitsky, How complex are random graphs in first order logic? Random (...)
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  9.  14
    The complexity of random ordered structures.Joel Spencer & Katherine St John - 2008 - Annals of Pure and Applied Logic 152 (1-3):174-179.
    We show that for random bit strings, Up, with probability, image, the first order quantifier depth D) needed to distinguish non-isomorphic structures is Θ, with high probability. Further, we show that, with high probability, for random ordered graphs, G≤,p with edge probability image, D)=Θ, contrasting with the results for random graphs, Gp, given by Kim et al. [J.H. Kim, O. Pikhurko, J. Spencer, O. Verbitsky, How complex are random graphs in first order logic? Random (...)
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  10.  68
    Randomness, chaos, and structure.Fatihcan M. Atay, Sarika Jalan & Jürgen Jost - 2009 - Complexity 15 (1):29-35.
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  11.  17
    Perception of the statistical structure of a random series of binary symbols.Harold W. Hake & Ray Hyman - 1953 - Journal of Experimental Psychology 45 (1):64.
  12.  15
    Logic in Finite Structures: Definability, Complexity, and Randomness.Scott Weinstein - 2006 - In Dale Jacquette (ed.), A Companion to Philosophical Logic. Oxford, UK: Blackwell. pp. 332–348.
    This chapter contains sections titled: Validity in the Finite Model Theory in the Finite? Definability and Complexity First‐Order Definability Second‐Order Definability Inductive Definability Infinitary Logics Random Graphs and 0–1 Laws.
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  13.  8
    Structure factor of a random stacking sequence.C. H. Hodges - 1974 - Philosophical Magazine 29 (5):1221-1225.
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  14.  28
    Visible Colleges: Structure and Randomness in the Place of Discovery.Bill Hillier & Alan Penn - 1991 - Science in Context 4 (1):23-50.
    The ArgumentVisible colleges, in contrast to the “invisible colleges” familiar to historians of science, are the collective places of science, the places where the “creation of phenomena” and theoretical speculation proceed side by side. To understand their spatial form, we must understand first how buildings can structure space to both conserve and generate social forms, depending on how they relate structure in space to randomness. Randomness is shown to play a crucial role in morphogenetic models of many kinds, especially in (...)
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  15.  7
    On the causal structure of random processes.Mariana Beliş - 1973 - In Radu J. Bogdan & Ilkka Niiniluoto (eds.), Logic, Language, and Probability. Boston: D. Reidel Pub. Co.. pp. 65--77.
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  16.  42
    A saturation property of structures obtained by forcing with a compact family of random variables.Jan Krajíček - 2013 - Archive for Mathematical Logic 52 (1-2):19-28.
    A method for constructing Boolean-valued models of some fragments of arithmetic was developed in Krajíček (Forcing with Random Variables and Proof Complexity, London Mathematical Society Lecture Notes Series, Cambridge University Press, Cambridge, 2011), with the intended applications in bounded arithmetic and proof complexity. Such a model is formed by a family of random variables defined on a pseudo-finite sample space. We show that under a fairly natural condition on the family [called compactness in Krajíček (Forcing with Random (...)
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  17.  40
    Object recognition and Random Image Structure Evolution.Javid Sadr & Pawan Sinha - 2004 - Cognitive Science 28 (2):259-287.
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  18.  17
    Uncontrolled logic: intuitive sensitivity to logical structure in random responding.Stephanie Howarth, Simon Handley & Vince Polito - 2022 - Thinking and Reasoning 28 (1):61-96.
    It is well established that beliefs provide powerful cues that influence reasoning. Over the last decade research has revealed that judgments based upon logical structure may also pre-empt deliberative reasoning. Evidence for ‘intuitive logic’ has been claimed using a range of measures (i.e. confidence ratings or latency of response on conflict problems). However, it is unclear how well such measures genuinely reflect logical intuition. In this paper we introduce a new method designed to test for evidence of intuitive logic. In (...)
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  19.  11
    Uncontrolled logic: intuitive sensitivity to logical structure in random responding.Stephanie Howarth, Simon Handley & Vince Polito - 2022 - Thinking and Reasoning 28 (1):61-96.
    It is well established that beliefs provide powerful cues that influence reasoning. Over the last decade research has revealed that judgments based upon logical structure may also pre-empt deliberative reasoning. Evidence for ‘intuitive logic’ has been claimed using a range of measures (i.e. confidence ratings or latency of response on conflict problems). However, it is unclear how well such measures genuinely reflect logical intuition. In this paper we introduce a new method designed to test for evidence of intuitive logic. In (...)
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  20.  14
    Bernal’s road to random packing and the structure of liquids.John L. Finney - 2013 - Philosophical Magazine 93 (31-33):3940-3969.
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  21.  22
    Atom transport in random two sublattice structures: analogue of the random alloy sum rule.A. R. Allnatt, I. V. Belova & G. E. Murch - 2006 - Philosophical Magazine 86 (36):5837-5846.
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  22.  19
    How to Improve the Well-Being of Youths: An Exploratory Study of the Relationships Among Coping Style, Emotion Regulation, and Subjective Well-Being Using the Random Forest Classification and Structural Equation Modeling.Xiaowei Jiang, Lili Ji, Yanan Chen, Chenghao Zhou, Chunlei Ge & Xiaolin Zhang - 2021 - Frontiers in Psychology 12.
    The relationship between coping styles and subjective well-being has recently received considerable empirical and theoretical attention in the scientific literature. However, the mechanisms underlying this relationship have primarily remained unclear. The present research aimed to determine whether emotion regulation mediated the relationship between coping styles and subjective well-being. Our hypothesis is based on the integration of theoretical models among 1,247 Chinese college students. The SWB questionnaire, Ways of Coping Questionnaire, and Emotion Regulation Questionnaire were used to correlate SWB, emotion regulation (...)
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  23.  15
    Asymptotic probabilities of extension properties and random l -colourable structures.Vera Koponen - 2012 - Annals of Pure and Applied Logic 163 (4):391-438.
  24.  44
    General random sequences and learnable sequences.C. P. Schnorr & P. Fuchs - 1977 - Journal of Symbolic Logic 42 (3):329-340.
    We formalise the notion of those infinite binary sequences z that admit a single program P which expresses the entire algorithmical structure of z. Such a program P minimizes the information which must be used in a relative computation for z. We propose two concepts with different strength for this notion, the learnable and the super-learnable sequences. We establish three different equivalent characterizations of learnable (super-learnable, resp.) sequences. In particular, we prove that a sequences z is learnable (super-learnable, resp.) if (...)
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  25.  24
    Randomness, Lowness and Degrees.George Barmpalias, Andrew E. M. Lewis & Mariya Soskova - 2008 - Journal of Symbolic Logic 73 (2):559 - 577.
    We say that A ≤LR B if every B-random number is A-random. Intuitively this means that if oracle A can identify some patterns on some real γ. In other words. B is at least as good as A for this purpose. We study the structure of the LR degrees globally and locally (i.e., restricted to the computably enumberable degrees) and their relationship with the Turing degrees. Among other results we show that whenever α in not GL₂ the LR (...)
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  26.  16
    Random World and Quantum Mechanics.Jerzy Król, Krzysztof Bielas & Torsten Asselmeyer-Maluga - 2023 - Foundations of Science 28 (2):575-625.
    Quantum mechanics (QM) predicts probabilities on the fundamental level which are, via Born probability law, connected to the formal randomness of infinite sequences of QM outcomes. Recently it has been shown that QM is algorithmic 1-random in the sense of Martin–Löf. We extend this result and demonstrate that QM is algorithmic $$\omega$$ -random and generic, precisely as described by the ’miniaturisation’ of the Solovay forcing to arithmetic. This is extended further to the result that QM becomes Zermelo–Fraenkel Solovay (...)
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  27. Randomness, Contingency, and Faith: Is there a Science of Subjectivity?Steven L. Peck - 2003 - Zygon 38 (1):5-23.
    Materialists argue that there is no place for God in the universe. Chance and contingency are all that structure our world. However, the materialists’ dismissal of subjectivity manifests a flawed metaphysics that invalidates their arguments against God. In this essay I explore the following: (1) How does personal metaphysics affect one's ability to do science? (2) Are the materialist arguments about contingency used to dismiss the importance of our place in the universe valid? (3) What are the implications of subjectivity (...)
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  28.  5
    The Strange Logic of Random Graphs.Joel Spencer - 2001 - Springer Verlag.
    The study of random graphs was begun in the 1960s and now has a comprehensive literature. This excellent book by one of the top researchers in the field now joins the study of random graphs (and other random discrete objects) with mathematical logic. The methodologies involve probability, discrete structures and logic, with an emphasis on discrete structures.
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  29.  17
    Overcoming random diffusion in polarized cells – corralling the drunken beggar.David E. Wolf - 1987 - Bioessays 6 (3):116-121.
    Cells are capable of overcoming the randomizing effect of lateral diffusion in order to regionally differentiate their surfaces. Such local structural specializations are of major significance to cellular function. In some cases, they may be explained by diffusion rates that are insufficient to completely randomize surface gradients over biologically relevant times scales. However, in other cases, absolute and permanent regionalizations are also observed. Mechanistically, the problem is analogous to equilibrium across a dialysis bag: either an absolute barrier exists or the (...)
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  30.  10
    Random Network Transmission and Countermeasures in Containing Global Spread of COVID-19-Alike Pandemic: A Hybrid Modelling Approach.Yimin Zhou, Jun Li, Lingjian Ye, Zuguo Chen, Qingsong Luo, Xiangdong Wu & Haiyang Ni - 2020 - Complexity 2020:1-12.
    Since the outbreak of the novel coronavirus disease at the beginning of December 2019, there have been more than 28.69 million cumulative confirmed cases worldwide as of 12th September 2020, affecting over 200 countries and regions with more than 920,463 deaths. The COVID-19 pandemic has been sweeping worldwide with unexpected rapidity. In this paper, a hybrid modelling strategy based on tessellation structure- configured SEIR model is adopted to estimate the scale of the pandemic spread. Building on the data pertaining to (...)
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  31. Organizational Structure and its Relation to the Prevailing Pattern of Communication in Palestinian Universities.Suliman A. El Talla, Mazen J. Al Shobaki, Samy S. Abu-Naser & Youssef M. Abu Amuna - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (5):22-43.
    The aim of the study was to identify the organizational structure and its relation to the prevailing pattern of communication in the Palestinian universities. The researchers used the analytical descriptive method through a questionnaire randomly distributed among Palestinian university workers in the Gaza Strip. The study was conducted on a sample of (274) administrative staff from the three universities, and the response rate was (81.87%). The study found that there is a high satisfaction with the nature of the organizational structure (...)
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  32. Proposition-valued random variables as information.Richard Bradley - 2010 - Synthese 175 (1):17 - 38.
    The notion of a proposition as a set of possible worlds or states occupies central stage in probability theory, semantics and epistemology, where it serves as the fundamental unit both of information and meaning. But this fact should not blind us to the existence of prospects with a different structure. In the paper I examine the use of random variables—in particular, proposition-valued random variables— in these fields and argue that we need a general account of rational attitude formation (...)
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  33. The Structure of Space and Time and the Indeterminacy of Classical Physics.Hanoch Ben-Yami - manuscript
    I explain in what sense the structure of space and time is probably vague or indefinite, a notion I define. This leads to the mathematical representation of location in space and time by a vague interval. From this, a principle of complementary inaccuracy between spatial location and velocity is derived, and its relation to the Uncertainty Principle discussed. In addition, even if the laws of nature are deterministic, the behaviour of systems will be random to some degree. These and (...)
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  34.  19
    More on random utility models with bounded ambiguity.Charles F. Manski - 2018 - Theory and Decision 84 (2):205-213.
    Econometric analysis of discrete choice has made considerable use of random utility models to interpret observed choice behavior. Much empirical research concerns choice problems in which persons act with partial knowledge of the utilities of the feasible actions. Economists use random expected utility models to analyze such choice problems. A common practice is to specify fully the expectations that persons hold, in which case choice analysis reduces to inference on preferences alone. However, the expectations assumptions made in empirical (...)
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  35.  14
    Isometry Groups of Borel Randomizations.Alexander Berenstein & Rafael Zamora - 2020 - Notre Dame Journal of Formal Logic 61 (2):297-316.
    We study global dynamical properties of the isometry group of the Borel randomization of a separable complete structure. We show that if properties such as the Rokhlin property, topometric generics, and extreme amenability hold for the isometry group of the structure, then they also hold in the isometry group of the randomization.
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  36.  11
    How to estimate the randomness in random sequence generation tasks?Anna Barbasz, Krzysztof Piotrowski, Michal Wierzchoń, Zbigniew Stettner & Jakub Barbasz - 2008 - Polish Psychological Bulletin 39 (1):42-46.
    How to estimate the randomness in random sequence generation tasks? The aim of the paper was to discuss the accuracy of the multiple indexes used for random sequences generation results calculation. In the first part of the paper the models explaining deviations from randomness were presented. The key role of the structural limitations interpretation was suggested. Secondly, the multiple indexes of the deviation from randomness used in random sequence generation task studies were presented. The authors concluded that (...)
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  37. The Structural Basis for Kinetic and Allosteric Differences between Two Bacterial Phosphofructokinases.W. Malcolm Byrnes - 1994 - Dissertation,
    The fructose 6-phosphate (Fru-6P) saturation curve for phosphofructokinase (PFK) from E. coli is sigmoidal in the presence of saturating MgATP levels, while the corresponding curve for B. stearothermophilus PFK is essentially hyperbolic. Sigmoidality can be due to apparent cooperativity arising from the kinetic mechanism of an enzyme. We have determined the kinetic mechanism of B. stearothermophilus PFK (BsPFK). BsPFK was found to obey a non rapid-equilibrium random mechanism similar to the one E. coli PFK (EcPFK) follows. Substrate inhibition by (...)
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  38.  51
    The conjugacy problem for the automorphism group of the random graph.Samuel Coskey, Paul Ellis & Scott Schneider - 2011 - Archive for Mathematical Logic 50 (1-2):215-221.
    We prove that the conjugacy problem for the automorphism group of the random graph is Borel complete, and discuss the analogous problem for some other countably categorical structures.
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  39.  12
    Structure–function relationships in eukaryotic nuclei.Dean A. Jackson - 1991 - Bioessays 13 (1):1-10.
    It may be that eukaryotic nuclei contain a collection of operationally independent units (genes), each controlled through its interactions with soluble protein factors which diffuse at random throughout the nucleoplasmic space. Alternatively, nuclei might be organized in such a sophisticated fashion that specific genes, occupy distinct sites and that spatially ordered RNA synthesis, processing and transport delivers mature RNAs to predestined sites in the cytoplasm.Different fields of research support each of these extreme views. Molecular biologists inspecting the precise details (...)
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  40. Scientific Explanation and the Causal Structure of the World.Wesley C. Salmon - 1984 - Princeton University Press.
    The philosophical theory of scientific explanation proposed here involves a radically new treatment of causality that accords with the pervasively statistical character of contemporary science. Wesley C. Salmon describes three fundamental conceptions of scientific explanation--the epistemic, modal, and ontic. He argues that the prevailing view is untenable and that the modal conception is scientifically out-dated. Significantly revising aspects of his earlier work, he defends a causal/mechanical theory that is a version of the ontic conception. Professor Salmon's theory furnishes a robust (...)
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  41.  3
    Superstition, Management and Organisations: Irrationality, Randomness, and Chaos in Decision Making.Joanna Crossman - 2024 - Springer Nature Switzerland.
    This book addresses how people and organisations sometimes respond to uncertainty in making decisions. Those decisions are rooted in beliefs and behaviours that are not always rational, especially in response to perceived randomness, chaos and unexpected circumstances. The author uses a transdisciplinary approach to the study of superstition in the context of business and management, taking care to acknowledge that what is regarded as superstition to one person may well be constructed as a spiritual belief by another. Respect and sensitivity (...)
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  42.  15
    Russell's typicality as another randomness notion.Athanassios Tzouvaras - 2020 - Mathematical Logic Quarterly 66 (3):355-365.
    We reformulate slightly Russell's notion of typicality, so as to eliminate its circularity and make it applicable to elements of any first‐order structure. We argue that the notion parallels Martin‐Löf (ML) randomness, in the sense that it uses definable sets in place of computable ones and sets of “small” cardinality (i.e., strictly smaller than that of the structure domain) in place of measure zero sets. It is shown that if the domain M satisfies, then there exist typical elements and only (...)
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  43.  59
    Communication and Structured Correlation.Elliott Wagner - 2009 - Erkenntnis 71 (3):377-393.
    Philosophers and social scientists have recently turned to Lewis sender–receiver games to provide an account of how lexical terms can acquire meaning through an evolutionary process. However, the evolution of meaning is contingent on both the particular sender–receiver game played and the choice of evolutionary dynamic. In this paper I explore some differences between models that presume an infinitely large and randomly mixed population and models in which a finite number of agents communicate with their neighbors in a social network. (...)
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  44. The trials of life: Natural selection and random drift.Denis M. Walsh, Andre Ariew & Tim Lewens - 2002 - Philosophy of Science 69 (3):452-473.
    We distinguish dynamical and statistical interpretations of evolutionary theory. We argue that only the statistical interpretation preserves the presumed relation between natural selection and drift. On these grounds we claim that the dynamical conception of evolutionary theory as a theory of forces is mistaken. Selection and drift are not forces. Nor do selection and drift explanations appeal to the (sub-population-level) causes of population level change. Instead they explain by appeal to the statistical structure of populations. We briefly discuss the implications (...)
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  45.  17
    The Effect of Context and Individual Differences in Human‐Generated Randomness.Mikołaj Biesaga, Szymon Talaga & Andrzej Nowak - 2021 - Cognitive Science 45 (12):e13072.
    Many psychological studies have shown that human‐generated sequences are hardly ever random in the strict mathematical sense. However, what remains an open question is the degree to which this (in)ability varies between people and is affected by contextual factors. Herein, we investigated this problem. In two studies, we used a modern, robust measure of randomness based on algorithmic information theory to assess human‐generated series. In Study 1 (), in a factorial design with task description as a between‐subjects variable, we (...)
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  46.  24
    Making Direct Democracy Deliberative through Random Assemblies.Robert Richards & John Gastil - 2013 - Politics and Society 41 (2):253-281.
    Direct-democratic processes have won popular support but fall far short of the standards of deliberative democracy. Initiative and referendum processes furnish citizens with insufficient information about policy problems, inadequate choices among policy solutions, flawed criteria for choosing among such solutions, and few opportunities for reflection on those choices prior to decision making. We suggest a way to make direct democracy more deliberative by grafting randomly selected citizen assemblies onto existing institutions and practices. After reviewing the problems that beset modern direct-democratic (...)
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  47.  5
    Modern applications of cross-classified random effects models in social and behavioral research: Illustration with R package PLmixed.Sijia Huang & Minjeong Jeon - 2022 - Frontiers in Psychology 13.
    Cross-classified random effects models have been developed for appropriately analyzing data with a cross-classified structure. Despite its flexibility and the prevalence of cross-classified data in social and behavioral research, CCREMs have been under-utilized in applied research. In this article, we present CCREMs as a general and flexible modeling framework, and present a wide range of existing models designed for different purposes as special instances of CCREMs. We also introduce several less well-known applications of CCREMs. The flexibility of CCREMs allows (...)
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  48.  29
    Genetic structure through surnames in campobasso province, italy.G. Biondi, P. Raspe & C. G. N. Mascie-Taylor - 2000 - Journal of Biosocial Science 32 (4):459-465.
    The population of Campobasso Province shows a level of inbreeding that is distinct from most Italian rural populations, regardless of their geographic location (Fr=0·0040; Fn=0·0102; Ft=0·0142). The genetic structure of the ItalianGreeks of Reggio Calabria Province is similar to other Italians of Campobasso Province (Fr=0·0041; Fn=0·0127; Ft=0·0168). The Italian–Greeks of Lecce Province show random mating, and their inbreeding is in fact very low (Fr=0·0038; Fn=0·0024; Ft=0·0062).
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  49.  27
    The structure of pre-adolescents’ perceptions of their teacher’s interpersonal behaviours and their relation to pre-adolescents’ learning outcomes.Kyriakos Charalampous & Constantinos M. Kokkinos - 2017 - Educational Studies 44 (2):167-189.
    Previous studies have offered indications that the way pre-adolescents structure their perceptions of their teacher’s interaction in terms of Agency and Communion differs from adolescents. The purpose of this study was to delineate previous findings by thoroughly examining the structure of pre-adolescents’ perceptions of their teacher’s interpersonal behaviour, and by investigating the extent to which this structure relates to pre-adolescents’ learning outcomes. A mixed methods research design was implemented including a qualitative instrument adaptation procedure followed by a quantitative large-scale administration. (...)
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  50.  19
    Combinatorics of ultrafilters on Cohen and random algebras.Jörg Brendle & Francesco Parente - 2022 - Journal of Symbolic Logic 87 (1):109-126.
    We investigate the structure of ultrafilters on Boolean algebras in the framework of Tukey reducibility. In particular, this paper provides several techniques to construct ultrafilters which are not Tukey maximal. Furthermore, we connect this analysis with a cardinal invariant of Boolean algebras, the ultrafilter number, and prove consistency results concerning its possible values on Cohen and random algebras.
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