Results for 'probabilistic stability'

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  1.  74
    Probabilistic stability, agm revision operators and maximum entropy.Krzysztof Mierzewski - 2020 - Review of Symbolic Logic:1-38.
    Several authors have investigated the question of whether canonical logic-based accounts of belief revision, and especially the theory of AGM revision operators, are compatible with the dynamics of Bayesian conditioning. Here we show that Leitgeb's stability rule for acceptance, which has been offered as a possible solution to the Lottery paradox, allows to bridge AGM revision and Bayesian update: using the stability rule, we prove that AGM revision operators emerge from Bayesian conditioning by an application of the principle (...)
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  2.  28
    Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control.R. Rakkiyappan, A. Chandrasekar, S. Lakshmanan & Ju H. Park - 2015 - Complexity 20 (3):39-65.
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  3.  4
    Static Stability Analysis Based on Probabilistic Power Flow Calculation considering P2G Technology.Jia Yao, Yujia Huang & Jingwei Hu - 2021 - Complexity 2021:1-11.
    At present, integrated energy systems have received extensive attention, but there is no basic framework for stability analysis of coupled systems. The injection of a large amount of renewable energy also has a great impact on the stability of the system. This paper focuses on how to analyze the static stability of the coupling system with uncertainty, which mainly considers the uncertainty of wind power generation and photovoltaic power generation and also considers the influence of P2G technology (...)
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  4.  35
    Robust stability analysis of stochastic neural networks with Markovian jumping parameters and probabilistic time-varying delays.Chandrasekar Pradeep, Arunachalam Chandrasekar, Rangasamy Murugesu & Rajan Rakkiyappan - 2016 - Complexity 21 (5):59-72.
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  5.  41
    Event-Triggered Control for the Stabilization of Probabilistic Boolean Control Networks.Shiyong Zhu, Jungang Lou, Yang Liu, Yuanyuan Li & Zhen Wang - 2018 - Complexity 2018:1-7.
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  6. The probabilistic no miracles argument.Jan Sprenger - 2016 - European Journal for Philosophy of Science 6 (2):173-189.
    This paper develops a probabilistic reconstruction of the No Miracles Argument in the debate between scientific realists and anti-realists. The goal of the paper is to clarify and to sharpen the NMA by means of a probabilistic formalization. In particular, we demonstrate that the persuasive force of the NMA depends on the particular disciplinary context where it is applied, and the stability of theories in that discipline. Assessments and critiques of "the" NMA, without reference to a particular (...)
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  7.  28
    Tracking probabilistic truths: a logic for statistical learning.Alexandru Baltag, Soroush Rafiee Rad & Sonja Smets - 2021 - Synthese 199 (3-4):9041-9087.
    We propose a new model for forming and revising beliefs about unknown probabilities. To go beyond what is known with certainty and represent the agent’s beliefs about probability, we consider a plausibility map, associating to each possible distribution a plausibility ranking. Beliefs are defined as in Belief Revision Theory, in terms of truth in the most plausible worlds. We consider two forms of conditioning or belief update, corresponding to the acquisition of two types of information: learning observable evidence obtained by (...)
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  8.  9
    Searching Probabilistic Difference-Making within Specificity.Andreas Lüchinger - 2021 - Kriterion – Journal of Philosophy 35 (3):217-235.
    The idea that good explanations come with strong changes in probabilities has been very common. This criterion is called probabilistic difference-making. Since it is an intuitive criterion and has a long tradition in the literature on scientific explanation, it comes as a surprise that probabilistic difference-making is rarely discussed in the context of interventionist causal explanation. Specificity, proportionality, and stability are usually employed to measure explanatory power instead. This paper is a first step into the larger project (...)
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  9. A Remark on Probabilistic Measures of Coherence.Sergi Oms - 2020 - Notre Dame Journal of Formal Logic 61 (1):129-140.
    In recent years, some authors have proposed quantitative measures of the coherence of sets of propositions. Such probabilistic measures of coherence (PMCs) are, in general terms, functions that take as their argument a set of propositions (along with some probability distribution) and yield as their value a number that is supposed to represent the degree of coherence of the set. In this paper, I introduce a minimal constraint on PMC theories, the weak stability principle, and show that any (...)
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  10.  11
    A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection.Xiaoli Tian, Meiling Niu, Jiangshui Ma & Zeshui Xu - 2020 - Complexity 2020:1-26.
    TODIM is a well-known multiple-criteria decision-making which considers the bounded rationality of decision makers based on prospect theory. However, in the classical TODIM, the perceived probability weighting function and the difference of the risk attitudes for gains and losses are not consistent with the original idea of PT. Moreover, probabilistic hesitant fuzzy information shows its superiority in handling the situation that the DMs hesitate among several possible values with different possibilities. Hence, a novel TODIM with probabilistic hesitant fuzzy (...)
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  11.  64
    Bridging Ranking Theory and the Stability Theory of Belief.Eric Raidl & Niels Skovgaard-Olsen - 2017 - Journal of Philosophical Logic 46 (6):577-609.
    In this paper we compare Leitgeb’s stability theory of belief and Spohn’s ranking-theoretic account of belief. We discuss the two theories as solutions to the lottery paradox. To compare the two theories, we introduce a novel translation between ranking functions and probability functions. We draw some crucial consequences from this translation, in particular a new probabilistic belief notion. Based on this, we explore the logical relation between the two belief theories, showing that models of Leitgeb’s theory correspond to (...)
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  12.  9
    Axiomatic characterizations of the constrained probabilistic serial mechanism.Mustafa Oğuz Afacan - 2023 - Theory and Decision 95 (3):465-484.
    Afacan (Games and Economic Behavior 110: 71-89, 2018) introduces an object allocation with random priorities problem. He proposes the constrained probabilistic serial (CPS) mechanism. This study, for the first time in the literature, provides axiomatic characterizations of CPS. The first result characterizes it via non-wastefulness, claimwise stability, constrained ordinal fairness, and surplus invariance to truncations. The other axiomatizes CPS via constrained stochastic efficiency, claimwise stability, and constrained ordinal fairness. The independence of the axioms is provided.
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  13. Kurt W. Schmidt.Stabilizing or Changing Identity? The Ethical - 2002 - In Julia Lai Po-Wah Tao (ed.), Cross-Cultural Perspectives on the (Im) Possibility of Global Bioethics. Kluwer Academic.
     
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  14. James H. Fetzer.Probabilistic Metaphysics - 1988 - In J. Fetzer (ed.), Probability and Causality. D. Reidel. pp. 192--109.
  15. Anne M. Fagot.Some Shortcomings of A. Probabilistic - 1984 - In Lennart Nordenfelt & B. I. B. Lindahl (eds.), Health, Disease, and Causal Explanations in Medicine. Reidel. pp. 101.
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  16.  9
    L'esperienza della natura: pensiero scientifico e disincantamento del mondo da Aristotele a Leopardi.Giorgio Stabile - 2023 - Firenze: SISMEL - Edizioni del Galluzzo. Edited by Franco D'Intino.
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  17. La ruota della fortuna: tempo ciclico e ricorso storico.Giorgio Stabile - 1979 - Studi Filosofici 2:93.
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  18. Lo scetticismo e Montaigne.Giampiero Stabile - 1980 - In Ida Cappiello (ed.), Privato, società civile e potere: momenti della costituzione critica della ragione borghese: [scritti. Napoli: Liguori.
     
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  19.  29
    Subsidiarity and the Use of Faith-Based Organizations in the Fight against Poverty.Susan J. Stabile - 2005 - Journal of Catholic Social Thought 2 (2):313-368.
  20. Valore morale e società nel pensiero di Eugène Dupréel.Giampiero Stabile - 1976 - [Salerno]: A cura del Centro stampa dell'Università.
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  21.  19
    Hector freytes, Antonio ledda, Giuseppe sergioli and.Roberto Giuntini & Probabilistic Logics in Quantum Computation - 2013 - In Hanne Andersen, Dennis Dieks, Wenceslao González, Thomas Uebel & Gregory Wheeler (eds.), New Challenges to Philosophy of Science. Springer Verlag. pp. 49.
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  22.  54
    John Courtney Murray and the Abortion Debate.Susan J. Stabile - 2007 - Journal of Catholic Social Thought 4 (1):87-124.
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  23.  24
    “Poor” Coverage.Susan J. Stabile - 2008 - Journal of Catholic Social Thought 5 (1):125-160.
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  24.  17
    “Poor” Coverage.Susan J. Stabile - 2008 - Journal of Catholic Social Thought 5 (1):125-160.
  25.  30
    Vocation, Formation and the Next Generation.Susan J. Stabile - 2010 - Journal of Catholic Social Thought 7 (2):439-466.
  26.  17
    Workers in the Vineyard.Susan J. Stabile - 2008 - Journal of Catholic Social Thought 5 (2):371-411.
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  27.  33
    Workers in the Vineyard.Susan J. Stabile - 2008 - Journal of Catholic Social Thought 5 (2):371-411.
  28.  13
    Stable individual differences in unfamiliar face identification: Evidence from simultaneous and sequential matching tasks.K. A. Baker, V. J. Stabile & C. J. Mondloch - 2023 - Cognition 232 (C):105333.
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  29.  31
    Improving the Design of Intelligent Systems: Outstanding Problems and Some Solutions.L. J. Kohout & I. Stabile - 1998 - Journal of Intelligent Systems 8 (3-4):225-238.
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  30. Beliefs, buses and lotteries: Why rational belief can’t be stably high credence.Julia Staffel - 2016 - Philosophical Studies 173 (7):1721-1734.
    Until recently, it seemed like no theory about the relationship between rational credence and rational outright belief could reconcile three independently plausible assumptions: that our beliefs should be logically consistent, that our degrees of belief should be probabilistic, and that a rational agent believes something just in case she is sufficiently confident in it. Recently a new formal framework has been proposed that can accommodate these three assumptions, which is known as “the stability theory of belief” or “high (...)
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  31. How people interpret conditionals: Shifts towards the conditional event.A. J. B. Fugard, Niki Pfeifer, B. Mayerhofer & Gernot D. Kleiter - 2011 - Journal of Experimental Psychology 37 (3):635-648.
    We investigated how people interpret conditionals and how stable their interpretation is over a long series of trials. Participants were shown the colored patterns on each side of a six-sided die, and were asked how sure they were that a conditional holds of the side landing upwards when the die is randomly thrown. Participants were presented with 71 trials consisting of all combinations of binary dimensions of shape (e.g., circles and squares) and color (e.g., blue and red) painted onto the (...)
     
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  32. Probability of Guilt.Mario Günther - manuscript
    In legal proceedings, a fact-finder needs to decide whether a defendant is guilty or not based on probabilistic evidence. We defend the thesis that the defendant should be found guilty just in case it is rational for the fact-finder to believe that the defendant is guilty. We draw on Leitgeb’s stability theory for an appropriate notion of rational belief and show how our thesis solves the problem of statistical evidence. Finally, we defend our account of legal proof against (...)
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  33. The concept of probability in physics: an analytic version of von Mises’ interpretation.Louis Vervoort - manuscript
    In the following we will investigate whether von Mises’ frequency interpretation of probability can be modified to make it philosophically acceptable. We will reject certain elements of von Mises’ theory, but retain others. In the interpretation we propose we do not use von Mises’ often criticized ‘infinite collectives’ but we retain two essential claims of his interpretation, stating that probability can only be defined for events that can be repeated in similar conditions, and that exhibit frequency stabilization. The central idea (...)
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  34.  61
    The Emergence of Reactive Strategies in Simulated Heterogeneous Populations.Ilan Fischer - 2003 - Theory and Decision 55 (4):289-314.
    The computer simulation study explores the impact of the duration of social impact on the generation and stabilization of cooperative strategies. Rather than seeding the simulations with a finite set of strategies, a continuous distribution of strategies is being defined. Members of heterogeneous populations were characterized by a pair of probabilistic reactive strategies: the probability to respond to cooperation by cooperation and the probability to respond to defection by cooperation. This generalized reactive strategy yields the standard TFT mechanism, the (...)
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  35.  31
    A Complete Graphical Calculus for Spekkens’ Toy Bit Theory.Miriam Backens & Ali Nabi Duman - 2016 - Foundations of Physics 46 (1):70-103.
    While quantum theory cannot be described by a local hidden variable model, it is nevertheless possible to construct such models that exhibit features commonly associated with quantum mechanics. These models are also used to explore the question of \-ontic versus \-epistemic theories for quantum mechanics. Spekkens’ toy theory is one such model. It arises from classical probabilistic mechanics via a limit on the knowledge an observer may have about the state of a system. The toy theory for the simplest (...)
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  36. On the possibility of stable regularities without fundamental laws.Aldo Filomeno - 2014 - Dissertation, Autonomous University of Barcelona
    This doctoral dissertation investigates the notion of physical necessity. Specifically, it studies whether it is possible to account for non-accidental regularities without the standard assumption of a pre-existent set of governing laws. Thus, it takes side with the so called deflationist accounts of laws of nature, like the humean or the antirealist. The specific aim is to complement such accounts by providing a missing explanation of the appearance of physical necessity. In order to provide an explanation, I recur to fields (...)
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  37.  72
    Vague expectation value loss.Bas Fraassen - 2006 - Philosophical Studies 127 (3):483 - 491.
    Vague subjective probability may be modeled by means of a set of probability functions, so that the represented opinion has only a lower and upper bound. The standard rule of conditionalization can be straightforwardly adapted to this. But this combination has difficulties which, though well known in the technical literature, have not been given sufficient attention in probabilist or Bayesian epistemology. Specifically, updating on apparently irrelevant bits of news can be destructive of one’s explicitly prior expectations. Stability of vague (...)
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  38. Causation, Probability, and the Continuity Bind.Anthony F. Peressini - 2017 - British Journal for the Philosophy of Science 69 (3):881-909.
    Analyses of singular causation often make use of the idea that a cause increases the probability of its effect. Of particular salience in such accounts are the values of the probability function of the effect, conditional on the presence and absence of the putative cause, analysed around the times of the events in question: causes are characterized by the effect’s probability function being greater when conditionalized upon them. Put this way, it becomes clearer that the ‘behaviour’ of probability functions in (...)
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  39.  18
    Energy and Expectation: The Dynamics of Living Consciousness.Michael Trestman - 2023 - Biosemiotics 16 (2):269-279.
    Jablonka and Ginsburg’s target paper (2022) argues that (a) consciousness is closely tied to goal-directed behavior and an open-ended capacity for learning and adaptation driven by exploration-and-stabilization dynamics; and (b) consciousness has this essential dynamical nature due to its emergence in evolution from the spontaneous exploration-and-stabilization dynamics of animal life, which the authors term vivaciousness. In this commentary, I explore these two claims with relation to two features of experience that are of clear importance to goal-directed behavior both phenomenologically and (...)
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  40. Ceteris paribus laws: Classification and deconstruction. [REVIEW]Gerhard Schurz - 2002 - Erkenntnis 57 (3):351Ð372.
    It has not been sufficiently considered in philosophical discussions of ceteris paribus (CP) laws that distinct kinds of CP-laws exist in science with rather different meanings. I distinguish between (1.) comparative CP-laws and (2.) exclusive CP-laws. There exist also mixed CP-laws, which contain a comparative and an exclusive CP-clause. Exclusive CP-laws may be either (2.1) definite, (2.2) indefinite or (2.3) normic. While CP-laws of kind (2.1) and (2.2) exhibit deductivistic behaviour, CP-laws of kind (2.3) require a probabilistic or non-monotonic (...)
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  41.  15
    Stochastic gene expression, disruption of tissue averaging effects and cancer as a disease of development.Jean-Pascal Capp - 2005 - Bioessays 27 (12):1277-1285.
    Despite the extensive literature describing the somatic genetic alterations in cancer cells, the precise origins of cancer cells remain controversial. In this article, I suggest that the etiology of cancer and the generation of genetic instability in cancer cells should be considered in the light of recent findings on both the stochastic nature of gene expression and its regulation at tissue level. By postulating that gene expression is intrinsically probabilistic and that stabilization of gene expression arises by cellular interactions (...)
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  42. Meillassoux’s Virtual Future.Graham Harman - 2011 - Continent 1 (2):78-91.
    continent. 1.2 (2011): 78-91. This article consists of three parts. First, I will review the major themes of Quentin Meillassoux’s After Finitude . Since some of my readers will have read this book and others not, I will try to strike a balance between clear summary and fresh critique. Second, I discuss an unpublished book by Meillassoux unfamiliar to all readers of this article, except those scant few that may have gone digging in the microfilm archives of the École normale (...)
     
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  43.  19
    Reliability of the Discounting Inventory: An extension into substance-use population.Maria Maczuga & Marta Malesza - 2017 - Polish Psychological Bulletin 48 (2):293-300.
    Recent research introduced the Discounting Inventory that allows the measurement of individual differences in the delay, probabilistic, effort, and social discounting rates. The goal of this investigation was to determine several aspects of the reliability of the Discounting Inventory using the responses of 385 participants. Two types of reliability are of interest. Internal consistency and test-retest stability. A secondary aim was to extend such reliability measures beyond the non-clinical participant. The current study aimed to measure the reliability of (...)
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  44. Обґрунтування Інтеграційної Рамки Для Інтердисциплінарного Дослідження Поняття «Соціальна Стійкість Людини В Громаді».Олена Купенко, Тетяна Козинцева, Андріана Костенко & Ніна Світайло - 2022 - Epistemological studies in Philosophy, Social and Political Sciences 5 (2):3-12.
    This theoretical development was carried out in response to the need of an interdisciplinary team of researchers of the complex concept of “social resilience of a person in a community”. An integration framework proposes to bring such efforts together. It includes aspects of the study of social resilience of a person in a community as a synergistic system, as one of the levels of a hierarchical system, as a problem-solving system.We consider synergistic social resilience as the subject’s ability to go (...)
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  45. Mechanizmy predykcyjne i ich normatywność [Predictive mechanisms and their normativity].Michał Piekarski - 2020 - Warszawa, Polska: Liberi Libri.
    The aim of this study is to justify the belief that there are biological normative mechanisms that fulfill non-trivial causal roles in the explanations (as formulated by researchers) of actions and behaviors present in specific systems. One example of such mechanisms is the predictive mechanisms described and explained by predictive processing (hereinafter PP), which (1) guide actions and (2) shape causal transitions between states that have specific content and fulfillment conditions (e.g. mental states). Therefore, I am guided by a specific (...)
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  46.  3
    Application of Random Dynamic Grouping Simulation Algorithm in PE Teaching Evaluation.Haitao Hao - 2021 - Complexity 2021:1-10.
    The probability ranking conclusion is an extension of the absolute form evaluation conclusion. Firstly, the random simulation evaluation model is introduced; then, the general idea of converting the traditional evaluation method to the random simulation evaluation model is analyzed; on this basis, based on the rule of “further ensuring the stability of the ranking chain on the basis of increasing the possibility of the ranking chain,” two methods of solving the probability ranking conclusion are given. Based on the rule (...)
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  47.  7
    Handbook of Developmental Science, Behavior, and Genetics.Kathryn Hood, Halpern E., Greenberg Carolyn Tucker, Lerner Gary & M. Richard (eds.) - 2010 - Wiley-Blackwell.
    FOREWORD. Gilbert Gottlieb and the Developmental Point of View. I. INTRODUCTION. 1. Developmental Systems, Nature-Nurture, and the Role of Genes in Behavior and Development: On the Legacy of Gilbert Gottlieb. 2. Normally Occurring Environmental and Behavioral Influences on Gene Activity: From Central Dogma to Probabilistic Epigenesis. II. THEORETICAL FOUNDATIONS FOR THE DEVELOPMENTAL STUDY OF BEHAVIOR AND GENETICS. 3. Historical and Philosophical Perspectives on Behavioral Genetics and Developmental Science. 4. Development and Evolution Revisited. 5. Probabilistic Epigenesis and Modern Behavioral (...)
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  48. The relationship between connectionist models and a dynamic data-oriented theory of concept formation.Renate Bartsch - 1996 - Synthese 108 (3):421 - 454.
    In this paper I shall compare two models of concept formation, both inspired by basic convictions of philosophical empiricism. The first, the connectionist model, will be exemplified by Kohonen maps, and the second will be my own dynamic theory of concept formation. Both can be understood in probabilistic terms, both use a notion of convergence or stabilization in modelling how concepts are built up. Both admit destabilization of concepts and conceptual change. Both do not use a notion of representation (...)
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  49.  94
    Probabilistic Knowledge.Sarah Moss - 2018 - Oxford, United Kingdom: Oxford University Press.
    Traditional philosophical discussions of knowledge have focused on the epistemic status of full beliefs. In this book, Moss argues that in addition to full beliefs, credences can constitute knowledge. For instance, your .4 credence that it is raining outside can constitute knowledge, in just the same way that your full beliefs can. In addition, you can know that it might be raining, and that if it is raining then it is probably cloudy, where this knowledge is not knowledge of propositions, (...)
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  50. Probabilistic Causality.Ellery Eells - 1991 - Cambridge, England: Cambridge University Press.
    In this important book, Ellery Eells explores and refines philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the (...)
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