Results for 'Random number generation'

999 found
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  1.  33
    Subjective random number generation and attention deployment during acquisition and overlearning of a motor skill.Frederick J. Evans & Charles Graham - 1980 - Bulletin of the Psychonomic Society 15 (6):391-394.
  2.  27
    Monitoring attention deployment by random number generation: An index to measure subjective randomness.Frederick J. Evans - 1978 - Bulletin of the Psychonomic Society 12 (1):35-38.
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  3.  9
    RandseqR: An R Package for Describing Performance on the Random Number Generation Task.Wouter Oomens, Joseph H. R. Maes, Fred Hasselman & Jos I. M. Egger - 2021 - Frontiers in Psychology 12.
    The Random Number Generation task has a long history in neuropsychology as an assessment procedure for executive functioning. In recent years, understanding of human behavior has gradually changed from reflecting a static to a dynamic process and this shift in thinking about behavior gives a new angle to interpret test results. However, this shift also asks for different methods to process random number sequences. The RNG task is suited for applying non-linear methods needed to uncover (...)
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  4.  28
    Priming psychic and conjuring abilities of a magic demonstration influences event interpretation and random number generation biases.Christine Mohr, Nikolaos Koutrakis & Gustav Kuhn - 2014 - Frontiers in Psychology 5.
  5.  22
    A Time Series Approach to Random Number Generation: Using Recurrence Quantification Analysis to Capture Executive Behavior.Wouter Oomens, Joseph H. R. Maes, Fred Hasselman & Jos I. M. Egger - 2015 - Frontiers in Human Neuroscience 9.
  6.  8
    An architecturally constrained model of random number generation and its application to modeling the effect of generation rate.Nicholas J. Sexton & Richard P. Cooper - 2014 - Frontiers in Psychology 5.
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  7.  16
    Real-World problem for checking the sensitiveness of evolutionary algorithms to the choice of the random number generator.Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez & Antonio Gómez-Iglesias - 2012 - In Emilio Corchado, Vaclav Snasel, Ajith Abraham, Michał Woźniak, Manuel Grana & Sung-Bae Cho (eds.), Hybrid Artificial Intelligent Systems. Springer. pp. 385--396.
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  8.  19
    Developmental Changes in the Effect of Active Left and Right Head Rotation on Random Number Generation.Charlotte Sosson, Carrie Georges, Mathieu Guillaume, Anne-Marie Schuller & Christine Schiltz - 2018 - Frontiers in Psychology 9.
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  9.  7
    Minding the Matter of Psychokinesis: A Review of Proof- and Process-Oriented Experimental Findings Related to Mental Influence on Random Number Generators. [REVIEW]Bryan J. Williams - 2022 - Journal of Scientific Exploration 35 (4).
    Many experiments have been conducted over the past eight decades to explore whether the ostensible psychic ability of psychokinesis (PK, or "mind over matter") might be a genuine human potential, and the most extensive of these have involved attempts to mentally influence the output of electronic, binary-bit random number generators (RNGs). Research of this type can generally be divided into two lines: proof-oriented (concerned with the accumulation and statistical evaluation of data from controlled experiments designed specifically to test (...)
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  10.  17
    Pseudorandom Number Generator Based on Three Kinds of Four-Wing Memristive Hyperchaotic System and Its Application in Image Encryption.Xi Chen, Shuai Qian, Fei Yu, Zinan Zhang, Hui Shen, Yuanyuan Huang, Shuo Cai, Zelin Deng, Yi Li & Sichun Du - 2020 - Complexity 2020:1-17.
    In this paper, we propose a method to design the pseudorandom number generator using three kinds of four-wing memristive hyperchaotic systems with different dimensions as multientropy sources. The principle of this method is to obtain pseudorandom numbers with good randomness by coupling XOR operation on the three kinds of FWMHSs with different dimensions. In order to prove its potential application in secure communication, the security of PRNG based on this scheme is analyzed from the perspective of cryptography. In addition, (...)
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  11.  77
    Tautologies from pseudo-random generators.Jan Krajíček - 2001 - Bulletin of Symbolic Logic 7 (2):197-212.
    We consider tautologies formed form a pseudo-random number generator, defined in Krajicek [11] and in Alekhnovich et al. [2]. We explain a strategy of proving their hardness for Extended Frege systems via a conjecture about bounded arithmetic formulated in Krajicek [11]. Further we give a purely finitary statement, in the form of a hardness condition imposed on a function, equivalent to the conjecture. This is accompanied by a brief explanation, aimed at non-specialists, of the relation between prepositional proof (...)
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  12.  27
    Creationism, intelligent design, and modern biology.Ronald L. Numbers - 2010 - In Denis Alexander & Ronald L. Numbers (eds.), Biology and Ideology From Descartes to Dawkins. London: University of Chicago Press.
    Charles Darwin's Origin of Species, published in 1859, was a revolutionary attempt “to overthrow the dogma of separate creations,” a declaration that provoked different reactions among the religious, ranging from mild enthusiasm to anger. Christians sympathetic to Darwin's effort sought to make Darwinism appear compatible with their religious beliefs. Two of Darwin's most prominent defenders in the United States were the Calvinists Asa Gray, a Harvard botanist, and George Frederick Wright, a cleric-geologist. Gray, who long favored a “special origination” in (...)
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  13.  12
    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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  14.  25
    The apparent magnitude of number scaled by random production.William P. Banks & David K. Hill - 1974 - Journal of Experimental Psychology 102 (2):353.
  15.  77
    Randomness by design.William A. Dembski - 1991 - Noûs 25 (1):75-106.
    “Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin.”1 John von Neumann’s famous dictum points an accusing finger at all who set their ordered minds to engender disorder. Much as in times past thieves, pimps, and actors carried on their profession with an uneasy conscience, so in this day scientists who devise random number generators suffer pangs of guilt. George Marsaglia, perhaps the preeminent worker in the field, quips when (...)
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  16.  42
    Randomness Through Computation: Some Answers, More Questions.Hector Zenil (ed.) - 2011 - World Scientific.
    The book is intended to explain the larger and intuitive concept of randomness by means of computation, particularly through algorithmic complexity and recursion theory. It also includes the transcriptions (by A. German) of two panel discussion on the topics: Is The Universe Random?, held at the University of Vermont in 2007; and What is Computation? (How) Does Nature Compute?, held at the University of Indiana Bloomington in 2008. The book is intended to the general public, undergraduate and graduate students (...)
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  17.  19
    Improved Firefly Algorithm: A Novel Method for Optimal Operation of Thermal Generating Units.Thang Trung Nguyen, Nguyen Vu Quynh & Le Van Dai - 2018 - Complexity 2018:1-23.
    This paper presents a novel improved firefly algorithm (IFA) to deal the problem of the optimal operation of thermal generating units (OOTGU) with the purpose of reducing the total electricity generation fuel cost. The proposed IFA is developed based on combining three improvements. The first is to be based on the radius between two solutions, the second is updated step size for each considered solution based on different new equations, and the third is to slightly modify a formula producing (...)
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  18.  6
    Practical randomly selected question exam design to address replicated and sequential questions in online examinations.Ahmed M. Elkhatat - 2022 - International Journal for Educational Integrity 18 (1).
    Examinations form part of the assessment processes that constitute the basis for benchmarking individual educational progress, and must consequently fulfill credibility, reliability, and transparency standards in order to promote learning outcomes and ensure academic integrity. A randomly selected question examination is considered to be an effective solution to mitigate sharing of questions between students by addressing replicated inter-examination questions that compromise examination integrity and sequential intra- examination questions that compromise examination comprehensivity. In this study, a Monte Carlo approach was used (...)
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  19.  23
    乱数生成課題に速度条件が与える影響: Schema を用いた分析.Gomi Sohei Yang Jinghong - 2007 - Transactions of the Japanese Society for Artificial Intelligence 22 (4):436-443.
    In this paper, we analyze the effect of the speed on the task of random number generation. Each subjectgenerates the sequences of ``random'' numbers under various speed conditions. In addition to the 16 indiceswhich have been used in the past studies, we introduce and calculate the new indices called the ``frequency ofschema''. From the statistical analysis, we find that there is an obvious change, along with the speed, in theproperties of sequences, indicating the transition of the (...)
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  20.  15
    Computing from projections of random points.Noam Greenberg, Joseph S. Miller & André Nies - 2019 - Journal of Mathematical Logic 20 (1):1950014.
    We study the sets that are computable from both halves of some (Martin–Löf) random sequence, which we call 1/2-bases. We show that the collection of such sets forms an ideal in the Turing degrees that is generated by its c.e. elements. It is a proper subideal of the K-trivial sets. We characterize 1/2-bases as the sets computable from both halves of Chaitin’s Ω, and as the sets that obey the cost function c(x,s)=Ωs−Ωx−−−−−−−√. Generalizing these results yields a dense hierarchy (...)
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  21.  10
    On The Correct Definition of Randomness.Paul Benioff - 1978 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1978 (2):62-78.
    The concept of randomness as applied to number sequences is important to the study of the relationship between the foundations of mathematics and physics. A reason is that while randomness is often defined in mathematical-logical terms, the only way one has to generate random number sequences is by means of repetitive physical processes. This paper will examine the question: What definition of randomness is correct in the sense of being the weakest allowable? Why this question is so (...)
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  22.  9
    A New Fractional-Order Map with Infinite Number of Equilibria and Its Encryption Application.Ahlem Gasri, Amina-Aicha Khennaoui, Adel Ouannas, Giuseppe Grassi, Apostolos Iatropoulos, Lazaros Moysis & Christos Volos - 2022 - Complexity 2022:1-18.
    The study of the chaotic dynamics in fractional-order discrete-time systems has received great attention over the last years. Some efforts have been also devoted to analyze fractional maps with special features. This paper makes a contribution to the topic by introducing a new fractional map that is characterized by both particular dynamic behaviors and specific properties related to the system equilibria. In particular, the conceived one dimensional map is algebraically simpler than all the proposed fractional maps in the literature. Using (...)
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  23. Random Formula Generators.Ariel Jonathan Roffé & Joaquín Toranzo Calderón - manuscript
    In this article, we provide three generators of propositional formulae for arbitrary languages, which uniformly sample three different formulae spaces. They take the same three parameters as input, namely, a desired depth, a set of atomics and a set of logical constants (with specified arities). The first generator returns formulae of exactly the given depth, using all or some of the propositional letters. The second does the same but samples up-to the given depth. The third generator outputs formulae with exactly (...)
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  24.  22
    Random Event Generators and a First-Person Account of Mind–Matter Interaction.Herb Mertz - 2022 - Journal of Consciousness Studies 29 (5-6):102-129.
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  25.  7
    On Random Numbers and Design.Morechai Ben-Ari - 2004 - Science & Education 13 (3):235-241.
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  26. A Highly Random Number.Veronica Becher & Sergio Daicz - unknown
    many symbols. We define o, as the probability that an arbitrary machine be circular and we prove that o, is a random number that goes beyond..
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  27.  33
    Rat pups and random robots generate similar self-organized and intentional behavior.Christopher J. May, Jeffrey C. Schank, Sanjay Joshi, Jonathan Tran, R. J. Taylor & I.-Esha Scott - 2006 - Complexity 12 (1):53-66.
  28.  38
    Manipulating number generation: Loud+ long= large?Alexander Heinemann, Roland Pfister & Markus Janczyk - 2013 - Consciousness and Cognition 22 (4):1332-1339.
  29. Free Will and Determinism: Resolving the Tension.Richard Startup - 2021 - Open Journal of Philosophy 11 (4):482-498.
    Progress may be made in resolving the tension between free will and determinism by analysis of the necessary conditions of freedom. It is of the essence that these conditions include causal and deterministic regularities. Furthermore, the human expression of free will is informed by understanding some of those regularities, and increments in that understanding have served to enhance freedom. When the possible character of a deterministic system based on physical theory is considered, it is judged that, far from implying the (...)
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  30. Statistically robust anomalous effects: Replication in random event generators.R. D. Nelson & Di Radin - 1989 - Foundations of Physics 20.
  31. Deliberate Play and Preparation Jointly Benefit Motor and Cognitive Development: Mediated and Moderated Effects.Caterina Pesce, Ilaria Masci, Rosalba Marchetti, Spyridoula Vazou, Arja Sääkslahti & Phillip D. Tomporowski - 2016 - Frontiers in Psychology 7:175175.
    In light of the interrelation between motor and cognitive development and the predictive value of the former for the latter, the secular decline observed in motor coordination ability as early as preschool urges identification of interventions that may jointly impact motor and cognitive efficiency. The aim of this study was twofold. It (1) explored the outcomes of enriched physical education, centered on deliberate play and cognitively challenging variability of practice, on motor coordination and cognitive processing; (2) examined whether motor coordination (...)
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  32. How Godel's theorem supports the possibility of machine intelligence.Taner Edis - 1998 - Minds and Machines 8 (2):251-262.
    Gödel's Theorem is often used in arguments against machine intelligence, suggesting humans are not bound by the rules of any formal system. However, Gödelian arguments can be used to support AI, provided we extend our notion of computation to include devices incorporating random number generators. A complete description scheme can be given for integer functions, by which nonalgorithmic functions are shown to be partly random. Not being restricted to algorithms can be accounted for by the availability of (...)
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  33.  13
    The Daniel Experiment: Sitter Group Contributions with Field RNG and MESA Environmental Recordings.Mike Wilson, Bryan J. Williams, Timothy M. Harte & William J. Roll - 2010 - Journal of Scientific Exploration 24 (4).
    In an effort to further explore ostensible macroscopic psychokinesis (macro-PK) effects like those previously reported by Batcheldor (1966), Bourgeois (1994), Owen and Sparrow (1976), and Ullman (2001) in a sitter group setting, the first author designed and conducted a series of fifteen experimental sessions in which sitters claiming exceptional abilities attempted to generate a pseudo-spirit named "Daniel," to whom physical phenomena were attributed. To explore possible physical correlates of macro-PK, two approaches to measurement were utilized. In the first, sample data (...)
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  34.  36
    Fundamental Pattern and Consciousness.Jerry Gin - 2016 - Cosmos and History 12 (2):99-113.
    In the new physics and in the new field of cosmometry, 1 it is the fundamental pattern that results in the motion from which all is created. Everything starts with the point of infinite potential. The tetrahedron at the point gives birth to the cuboctahedron ; its motion and structure result in the creation of the torus structure. The torus structure is self-referencing on a moment by moment basis since all must pass through the center. But isn't self-referencing the basis (...)
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  35.  24
    Physical Entropy in Computer Games.Andreas Schiffler - 2010 - Technoetic Arts 8 (1):39-45.
    Digital computers are by design completely deterministic, yet they are often consumers of randomness in cryptography, simulations, science experiments and computer games. To generate randomness in software, programmers implement special mathematical algorithms, which produce a series of numbers that appear nondeterministic, so called pseudo random number generators (PRNGs). Computer games make heavy use of such PRNGs to make game simulations and behaviors of game elements appear more natural. An important design element of many video games is game physics, (...)
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  36.  10
    Editorial JSE 24:4.Stephen Braude - 2010 - Journal of Scientific Exploration 24 (4).
    ISSUE DESCRIPTION The The Journal of Scientific Exploration is devoted to the open-minded examination of scientific anomalies and other topics on the scientific frontier. Its articles and reviews, written by authorities in their respective fields, cover both data and theory in areas of science that are too often ignored or treated superficially by other scientific publications. This issue of the journal features papers on a variety of subjects. The lead article presents the results of an innovative ball-selection test for ESP, (...)
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  37.  12
    Farewell Missives.Stephen Braude - 2022 - Journal of Scientific Exploration 35 (4).
    This is a particularly rich issue of the JSE. And a hefty one. Its size is due primarily to two quite lengthy essays, one by Bryan Williams and one by Michael Sudduth. Of course, all of this issue’s articles and reviews are worth reading; that’s why we’re publishing them. But these two huge essays merit a few extra comments. Bryan Williams has given us something that I and various SSE members have hoped for over the years, a detailed review of (...)
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  38.  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 (...)
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  39.  14
    DWT-SVD Based Watermarking for High-Resolution Medical Holographic Images.Fahrettin Horasan, Muhammed Ali Pala, Ali Durdu, Akif Akgül, Ömer Faruk Akmeşe & Mustafa Zahid Yıldız - 2022 - Complexity 2022:1-21.
    Watermarking is one of the most common techniques used to protect data’s authenticity, integrity, and security. The obfuscation in the frequency domain used in the watermarking method makes the watermarking stronger than the obfuscation in the spatial domain. It occupies an important place in watermarking works in imperceptibility, capacity, and robustness. Finding the optimal location to hide the watermarking is one of the most challenging tasks in these methods and affects the method’s performance. In this article, sample identification information is (...)
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  40.  43
    Reciprocal Ontological Models Show Indeterminism Comparable to Quantum Theory.Somshubhro Bandyopadhyay, Manik Banik, Some Sankar Bhattacharya, Sibasish Ghosh, Guruprasad Kar, Amit Mukherjee & Arup Roy - 2017 - Foundations of Physics 47 (2):265-273.
    We show that within the class of ontological models due to Harrigan and Spekkens, those satisfying preparation-measurement reciprocity must allow indeterminism comparable to that in quantum theory. Our result implies that one can design quantum random number generator, for which it is impossible, even in principle, to construct a reciprocal deterministic model.
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  41.  8
    Giving Ideas Some Legs or Legs Some Ideas? Children’s Motor Creativity Is Enhanced by Physical Activity Enrichment: Direct and Mediated Paths.Nicoletta Tocci, Patrizia Scibinetti, Emiliano Mazzoli, Myrto Foteini Mavilidi, Ilaria Masci, Mirko Schmidt & Caterina Pesce - 2022 - Frontiers in Psychology 13.
    Approaches to foster motor creativity differ according to whether creative movements are assumed to be enacted creative ideas, or solutions to emerging motor problems that arise from task and environmental constraints. The twofold aim of the current study was to investigate whether an enriched physical education intervention delivered with a joint constraints-led and cognitive stimulation approach fosters motor creativity, and the responsiveness to the intervention is moderated by baseline motor and cognitive skills and sex; the intervention may benefit motor creativity (...)
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  42.  8
    The Multidimensional Epistemology of Computer Simulations: Novel Issues and the Need to Avoid the Drunkard’s Search Fallacy.Cyrille Imbert - 2019 - In Claus Beisbart & Nicole J. Saam (eds.), Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Springer Verlag. pp. 1029-1055.
    Computers have transformed science and help to extend the boundaries of human knowledge. However, does the validation and diffusion of results of computational inquiries and computer simulations call for a novel epistemological analysis? I discuss how the notion of novelty should be cashed out to investigate this issue meaningfully and argue that a consequentialist framework similar to the one used by Goldman to develop social epistemologySocial epistemology can be helpful at this point. I highlight computational, mathematical, representational, and social stages (...)
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  43. On playing dice with the universe-problems in the use of random number tables in social-science research.R. Ragland - 1980 - Journal of Thought 15 (1):93-98.
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  44.  8
    The Morra Game as a Naturalistic Test Bed for Investigating Automatic and Voluntary Processes in Random Sequence Generation.Franco Delogu, Madison Barnewold, Carla Meloni, Enrico Toffalini, Antonello Zizi & Rachele Fanari - 2020 - Frontiers in Psychology 11.
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  45. Workshop on pseudorandom number generation June 2-21, 1996, centre de recherches mathematiques, Universite de Montreal, Quebec, Canada. [REVIEW]P. -M. Binder - 1996 - Complexity 2 (1):4-4.
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  46. Workshop on pseudorandom number generation June 2–21, 1996, centre de recherches mathematiques, Universite de Montreal, Quebec, Canada. [REVIEW]P. ‐M. Binder - 1996 - Complexity 2 (1):4-4.
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  47.  13
    The class of precomplete Lukasiewicz's many-volued logics and the law of prime number generation.A. Karpenko - 1996 - Bulletin of the Section of Logic 25 (1):52-57.
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  48. Workshop on Approaches or Methods of Security Engineering (AMSE 2006, Sess. A)-Pseudorandom Number Generator Using Optimal Normal Basis.Injoo Jang & Hyeong Seon Yoo - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 206-212.
     
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  49.  5
    Random constraint satisfaction: Easy generation of hard (satisfiable) instances.Ke Xu, Frédéric Boussemart, Fred Hemery & Christophe Lecoutre - 2007 - Artificial Intelligence 171 (8-9):514-534.
  50.  13
    Random generations of the countable random graph.Su Gao & A. Vershik - 2006 - Annals of Pure and Applied Logic 143 (1-3):79-86.
    We consider random processes more general than those considered by Erdös and Rényi for generating the countable random graph. It is proved that, in the category sense, almost all random processes we consider generate the countable random graph with probability 1. Under a weak boundedness assumption we give a criterion for the random processes which generate the countable random graph almost surely. We also consider further questions asked by Jackson regarding the outcome graphs when (...)
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