Results for 'Discrete choice probit models'

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  1.  7
    Harmonic choice model.Pavlo R. Blavatskyy - 2023 - Theory and Decision 96 (1):49-69.
    For decades, discrete choice modelling was practically dominated by only two models: multinomial probit and logit. This paper presents a novel alternative—harmonic choice model. It is qualitatively similar to multinomial probit and logit: if one choice alternative greatly exceeds all (falls below at least one of) other alternatives in terms of utility then it is chosen with probability close to one (zero). Compared to probit and logit, the new model has relatively flat (...)
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  2.  73
    Testing the Effects of Similarity on Risky Choice: Implications for Violations of Expected Utility.David E. Buschena & David Zilberman - 1999 - Theory and Decision 46 (3):253-280.
    Our aim in this paper was to establish an empirical evaluation for similarity effects modeled by Rubinstein; Azipurua et al.; Leland; and Sileo. These tests are conducted through a sensitivity analysis of two well-known examples of expected utility (EU) independence violations. We found that subjective similarity reported by respondents was explained very well by objective measures suggested in the similarity literature. The empirical results of this analysis also show that: (1) the likelihood of selection for the riskier choice increases (...)
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  3.  13
    A note on identification in discrete choice models with partial observability.Mogens Fosgerau & Abhishek Ranjan - 2017 - Theory and Decision 83 (2):283-292.
    This note establishes a new identification result for additive random utility discrete choice models. A decision-maker associates a random utility Uj+mj\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$U_{j}+m_{j}$$\end{document} to each alternative in a finite set j∈1,…,J\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$j\in \left\{ 1,\ldots,J\right\} $$\end{document}, where U=U1,…,UJ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathbf {U}=\left\{ U_{1},\ldots,U_{J}\right\} $$\end{document} is unobserved by the researcher and random with an unknown joint distribution, while the (...))
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  4.  16
    Patients accept therapy using embryonic stem cells for Parkinson’s disease: a discrete choice experiment.Jennifer Viberg Johansson, Mats Hansson, Elena Jiltsova, Trinette van Vliet, Hakan Widner, Dag Nyholm, Jorien Veldwijk, Catharina Groothuis-Oudshoorn, Jennifer Drevin & Karin Schölin Bywall - 2023 - BMC Medical Ethics 24 (1):1-13.
    BackgroundNew disease-modifying ways to treat Parkinson’s disease (PD) may soon become a reality with intracerebral transplantation of cell products produced from human embryonic stem cells (hESCs). The aim of this study was to assess what factors influence preferences of patients with PD regarding stem-cell based therapies to treat PD in the future.MethodsPatients with PD were invited to complete a web-based discrete choice experiment to assess the importance of the following attributes: (i) type of treatment, (ii) aim of treatment, (...)
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  5.  2
    Discrete dynamic choice: an extension of the choice models of Thurstone and Luce.John Dagsvik - 1983 - Oslo: I kommisjon hos H. Aschehoug og Universitetsforlaget.
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  6.  54
    Better May be Worse: Some Monotonicity Results and Paradoxes in Discrete Choice Under Uncertainty. [REVIEW]Jörgen W. Weibull, Lars-Göran Mattsson & Mark Voorneveld - 2007 - Theory and Decision 63 (2):121-151.
    It is not unusual in real-life that one has to choose among finitely many alternatives when the merit of each alternative is not perfectly known. Instead of observing the actual utilities of the alternatives at hand, one typically observes more or less precise signals that are positively correlated with these utilities. In addition, the decision-maker may, at some cost or disutility of effort, choose to increase the precision of these signals, for example by way of a careful study or the (...)
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  7.  17
    A model of intuitionistic analysis in which ø-definable discrete sets are subcountable.Philip Scowcroft - 2016 - Mathematical Logic Quarterly 62 (3):258-277.
    There is a model, for a system of intuitionistic analysis including Brouwer's principle for numbers and Kripke's schema, in which math formula ø-definable discrete sets of choice sequences are subcountable.
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  8.  16
    Computational modelling of spoken-word recognition processes: design choices and evaluation.Odette Scharenborg & Lou Boves - 2010 - Pragmatics and Cognition 18 (1):136-164.
    Computational modelling has proven to be a valuable approach in developing theories of spoken-word processing. In this paper, we focus on a particular class of theories in which it is assumed that the spoken-word recognition process consists of two consecutive stages, with an `abstract' discrete symbolic representation at the interface between the stages. In evaluating computational models, it is important to bring in independent arguments for the cognitive plausibility of the algorithms that are selected to compute the processes (...)
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  9.  25
    Where Stochastic OT fails: a discrete model of metrical variation.Paul Kiparsky - unknown
    In a remarkable confirmation of OT in an empirical domain for which it was not originally intended, phonological and morphological variation has been successfully modeled by partially ranked categorical constraints (Anttila 1997, 2002). Poetic meter is a good place to extend and test this approach to variation, because there is abundant and diverse quantitative data available for it, and because it is typically governed by a relatively small number of well-understood constraints. I report the results of four such studies here. (...)
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  10.  8
    Children's Strategy Choices on Complex Subtraction Problems: Individual Differences and Developmental Changes.Sara Caviola, Irene C. Mammarella, Massimiliano Pastore & Jo-Anne LeFevre - 2018 - Frontiers in Psychology 9:377863.
    We examined how children’s strategy choices in solving complex subtraction problems are related to grade and to variations in problem complexity. In two studies, third- and fifth-grade children (N≈160 each study) solved multi-digit subtraction problems (e.g., 34 - 18) and described their solution strategies. In the first experiment, strategy selection was investigated by means of a free-choice paradigm, whereas in the second study a discrete-choice approach was implemented. In both experiments, analyses of strategy repertoire indicated that third-grade (...)
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  11.  33
    Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences.Guy E. Hawkins, A. A. J. Marley, Andrew Heathcote, Terry N. Flynn, Jordan J. Louviere & Scott D. Brown - 2014 - Cognitive Science 38 (4):701-735.
    Discrete choice experiments—selecting the best and/or worst from a set of options—are increasingly used to provide more efficient and valid measurement of attitudes or preferences than conventional methods such as Likert scales. Discrete choice data have traditionally been analyzed with random utility models that have good measurement properties but provide limited insight into cognitive processes. We extend a well-established cognitive model, which has successfully explained both choices and response times for simple decision tasks, to complex, (...)
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  12.  39
    Interdependent binary choices under social influence: Phase diagram for homogeneous unbiased populations.Ana Fernández del Río, Elka Korutcheva & Javier de la Rubia - 2012 - Complexity 17 (6):31-41.
  13.  16
    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, (...)
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  14.  5
    Moral Choices and Responsibilities: The Home-help Service at the Borderland of Care Management When Older People Consider Relocation to a Residential Home.Maria Söderberg - 2020 - Ethics and Social Welfare 14 (4):369-383.
    The aim of this article is to reveal how care workers in the home-help services handle the process when older people’s relocation to a residential home is under consideration. Since the care workers are engaged daily in defining care receivers’ needs and yet have no formal influence on care decisions in Sweden, the focus is on how they solve this dilemma. In this inductive study, the theoretical framework is based on occupational alliances, relationship-based practice, and discretion. Thirty-three care workers in (...)
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  15.  40
    Probit Model for the Women Participate in SMEs Business: A Case Study of Sindh Province.Nadeem Bhatti, Nanik Ram, Fayaz Raza Chandio, Faiz Shaikh & Kamran Shafiq - 2011 - Asian Culture and History 3 (1):73-80.
    The current research explores the women participation in SMEs business by using Probit model. The rapid absorption of women into the labor market has been influenced by several factors. The rapid economic growth was due largely to important growth in the SMEs business, where substantial and proportionally larger increase of female workers has been registered. Among all sectors of the economy, the SMEs have recorded the highest growth rate during the last decade. The increase in the female labor force (...)
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  16.  36
    Speed-Accuracy Tradeoff in Reaction Time: Effect of Discrete Criterion Times.Robert G. Pachella & Richard W. Pew - 1968 - Journal of Experimental Psychology 76 (1p1):19.
  17.  11
    A Brief Epistemology of Economic Models. A Short Essay in Philosophy of Science.Tommaso Ostillio - 2016 - Zeszyty Programu Top 15 8 (1):9-46.
    This paper attempts to construct a short epistemology of economic models by using as a benchmark a comparison between the methodological issues of contemporary physics and of economics. In particular, the paper focuses on the role of indeterminacy in either sciences. Herein the general claim is that the models of economics fail at dealing with uncertainty as effectively as the models of natural sciences because economists did not manage to overcome the identification problem that is peculiar to (...)
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  18.  7
    A Brief Epistemology of Economic Models. A Short Essay in Philosophy of Science.Tommaso Ostillio - 2016 - In Blazej Podgorski (ed.), Zeszyty Programu Top 15. Kozminski University Press. pp. 9-49.
    This paper attempts to construct a short epistemology of economic models by using as a benchmark a comparison between the methodological issues of contemporary physics and of economics. In particular, the paper focuses on the role of indeterminacy in either sciences. Herein the general claim is that the models of economics fail at dealing with uncertainty as effectively as the models of natural sciences because economists did not manage to overcome the identification problem that is peculiar to (...)
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  19.  20
    Using discrete choice experiments to go beyond clinical outcomes when evaluating clinical practice.Mandy Ryan, Kirsten Major & Diane Skatun - 2005 - Journal of Evaluation in Clinical Practice 11 (4):328-338.
  20.  31
    Using discrete choice experiment to elicit doctors' preferences for the report card design of diabetes care in Taiwan – a pilot study.Tsung-Tai Chen, Kuo-Piao Chung, Heng-Chiang Huang, Lao-Nga Man & Mei-Shu Lai - 2010 - Journal of Evaluation in Clinical Practice 16 (1):14-20.
  21. Natural Cybernetics and Mathematical History: The Principle of Least Choice in History.Vasil Penchev - 2020 - Cultural Anthropology (Elsevier: SSRN) 5 (23):1-44.
    The paper follows the track of a previous paper “Natural cybernetics of time” in relation to history in a research of the ways to be mathematized regardless of being a descriptive humanitarian science withal investigating unique events and thus rejecting any repeatability. The pathway of classical experimental science to be mathematized gradually and smoothly by more and more relevant mathematical models seems to be inapplicable. Anyway quantum mechanics suggests another pathway for mathematization; considering the historical reality as dual or (...)
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  22. An immigration-pressure model of global distributive justice.Eric Cavallero - 2006 - Politics, Philosophy and Economics 5 (1):97-127.
    International borders concentrate opportunities in some societies while limiting them in others. Borders also prevent those in the less favored societies from gaining access to opportunities available in the more favored ones. Both distributive effects of borders are treated here within a comprehensive framework. I argue that each state should have broad discretion under international law to grant or deny entry to immigration seekers; but more favored countries that find themselves under immigration pressure should be legally obligated to fund development (...)
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  23.  9
    Beyond Discrete Choices – Investigating the Effectiveness of a Proximity Nudge With Multiple Alternative Options.Laurens C. van Gestel, Marieke A. Adriaanse & Denise T. D. de Ridder - 2020 - Frontiers in Psychology 11.
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  24.  23
    Stimulus discriminability and S-R compatibility: Evidence for independent effects in choice reaction time.Irving Biederman & Robert Kaplan - 1970 - Journal of Experimental Psychology 86 (3):434.
  25.  6
    How sure are you? — the properties of self-reported conviction in the elicitation of health preferences with discrete choice experiments.Michał Jakubczyk & Michał Lewandowski - 2023 - Theory and Decision 96 (3):351-368.
    Discrete choice experiments (DCE) are often used to elicit preferences, for instance, in health preference research. However, DCEs only provide binary responses, whilst real-life choices are made with varying degrees of conviction. We aimed to verify whether eliciting self-reported convictions on a 0–100 scale adds meaningful information to the binary choice. Eighty three respondents stated their preferences for health states using DCE and the time trade-off method (TTO). In TTO, utility ranges were also elicited to account for (...)
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  26. Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation.Auke Hoekstra, Maarten Steinbuch & Geert Verbong - 2017 - Complexity:1-23.
    The energy domain is still dominated by equilibrium models that underestimate both the dangers and opportunities related to climate change. In reality, climate and energy systems contain tipping points, feedback loops, and exponential developments. This paper describes how to create realistic energy transition management models: quantitative models that can discover profitable pathways from fossil fuels to renewable energy. We review the literature regarding agent-based economics, disruptive innovation, and transition management and determine the following requirements. Actors must be (...)
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  27.  73
    A study in metaphysics for free will: using models of causality, determinism and supervenience in the search for free will.David Robson - unknown
    We have two main aims: to construct mathematical models for analysing determinism, causality and supervenience; and then to use these to demonstrate the possibility of constructing an ontic construal of the operation of free will - one requiring both the presentation of genuine alternatives to an agent and their selecting between them in a manner that permits the attribution of responsibility. Determinism is modelled using trans-temporal ontic links between discrete juxtaposed universe states and shown to be distinct from (...)
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  28.  10
    Demand or discretion? The market model applied to science and its core values and institutions.Ylva Hasselberg - 2012 - Ethics in Science and Environmental Politics 12 (1):35-51.
  29.  29
    Discrete and continuous models for heterocyst differentiation in growing filaments of blue-green bacteria.Chris G. De Koster & Aristid Lindenmayer - 1987 - Acta Biotheoretica 36 (4):249-273.
    Heterocyst spacing in blue -green bacteria is widely assumed to be due to a diffusible inhibitor. The inhibitor, a nitrogen-rich compound, probably glutamine, is produced via the N2-fixing enzymes of the heterocyst and in turn serves to suppress the induction of these enzymes and of the differentiation of vegetative cells to heterocysts. This simple morphogenetic mechanism operating in growing cellular filaments ofAnabaena species is investigated on the basis of a continuous and a discrete cellular model, as well as by (...)
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  30.  19
    Discrete transfinite computation models.Philip D. Welch - 2011 - In S. B. Cooper & Andrea Sorbi (eds.), Computability in Context: Computation and Logic in the Real World. World Scientific. pp. 375--414.
  31.  14
    Stimulus probability as a determinant of discrete choice reaction time.Harold L. Hawkins & Karen Hosking - 1969 - Journal of Experimental Psychology 82 (3):435.
  32.  20
    Stimulus and response factors in discrete choice reaction time.James Hinrichs & John L. Craft - 1971 - Journal of Experimental Psychology 91 (2):305.
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  33.  19
    The 2N-ary Choice Tree Model for N-Alternative Preferential Choice.Lena M. Wollschläger & Adele Diederich - 2012 - Frontiers in Psychology 3.
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  34.  16
    Zur Messung der Präferenzen für nationale Sporterfolge bei Olympischen Sommerspielen: Eine Schätzung unter Anwendung eines Discrete-Choice-Experiments.Jens Flatau & Finja Rohkohl - 2017 - Sport Und Gesellschaft 14 (2):133-161.
    Zusammenfassung Das Ziel der vorliegenden Untersuchung ist es, die Präferenzen deutscher Bürger für die sportlichen Erfolge ihrer einheimischen Athleten und Mannschaften bei Olympischen Sommerspielen zu ermitteln. Hierzu wurde im Juli 2015 mit 159 Personen ein Discrete-Choice-Experiment durchgeführt. In 14 Entscheidungsszenarien standen jeweils zwei Alternativen des Konsums deutschen olympischen Sporterfolges zur Auswahl, die sich in folgenden vier Attributen unterschieden: Sportart, Gesamterfolg, Modus des Konsums und Zahlungsvehikel. Die multivariate Analyse ergab einen signifikanten Einfluss aller vier Attribute auf die Wahlentscheidung. U. (...)
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  35.  12
    Influence of stimulus and response probability on decision and movement latency in a discrete choice reaction task.A. R. Blackman - 1972 - Journal of Experimental Psychology 92 (1):128.
  36.  33
    Perceptual versus response bias in discrete choice reaction time.Harold L. Hawkins, Gerald B. Thomas & Kenneth B. Drury - 1970 - Journal of Experimental Psychology 84 (3):514.
  37.  7
    Probabilistic choice behavior models and their combination with additional tools needed for applications to marketing.G. De Soete, H. Feger & K. C. Klaner - 1989 - In Geert de Soete, Hubert Feger & Karl C. Klauer (eds.), New Developments in Psychological Choice Modeling. Distributors for the United States and Canada, Elsevier Science. pp. 317.
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  38.  11
    What do patients value as incentives for participation in clinical trials? A pilot discrete choice experiment.Akke Vellinga, Colum Devine, Min Yun Ho, Colin Clarke, Patrick Leahy, Jane Bourke, Declan Devane, Sinead Duane & Patricia Kearney - 2020 - Research Ethics 16 (1-2):1-12.
    Incentivising has shown to improve participation in clinical trials. However, ethical concerns suggest that incentives may be coercive, obscure trial risks and encourage individuals to enrol in cli...
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  39.  19
    Varying Opinions on Who Deserves Collectively Financed Health Care Services: A Discrete Choice Experiment on Allocation Preferences of the General Public.Maartje J. van der Aa, Aggie T. G. Paulus, Mickaël J. C. Hiligsmann, Johannes A. M. Maarse & Silvia M. A. A. Evers - 2018 - Inquiry: The Journal of Health Care Organization, Provision, and Financing 55:004695801775198.
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  40.  14
    Sequential determinants of information processing in serial and discrete choice reaction time.Sylvan Kornblum - 1969 - Psychological Review 76 (2):113-131.
  41.  18
    Low-strain fatigue in AISI 316L steel surface grains: a three-dimensional discrete dislocation dynamics modelling of the early cycles I. Dislocation microstructures and mechanical behaviour.C. Déprés, C. F. Robertson * & M. C. Fivel - 2004 - Philosophical Magazine 84 (22):2257-2275.
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  42.  53
    Memory‐Based Simple Heuristics as Attribute Substitution: Competitive Tests of Binary Choice Inference Models.Honda Hidehito, Matsuka Toshihiko & Ueda Kazuhiro - 2017 - Cognitive Science 41 (S5):1093-1118.
    Some researchers on binary choice inference have argued that people make inferences based on simple heuristics, such as recognition, fluency, or familiarity. Others have argued that people make inferences based on available knowledge. To examine the boundary between heuristic and knowledge usage, we examine binary choice inference processes in terms of attribute substitution in heuristic use (Kahneman & Frederick, 2005). In this framework, it is predicted that people will rely on heuristic or knowledge‐based inference depending on the subjective (...)
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  43.  12
    On the Dynamical Complexity of a Seasonally Forced Discrete SIR Epidemic Model with a Constant Vaccination Strategy.Jalil Rashidinia, Mehri Sajjadian, Jorge Duarte, Cristina Januário & Nuno Martins - 2018 - Complexity 2018:1-11.
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  44.  6
    Lattice with vacancies: elastic fields and effective properties in frameworks of discrete and continuum models.V. A. Kuzkin, A. M. Krivtsov, E. A. Podolskaya & M. L. Kachanov - 2016 - Philosophical Magazine 96 (15):1538-1555.
  45.  12
    Julia Sets and Their Control of Discrete Fractional SIRS Models.Miao Ouyang & Yongping Zhang - 2019 - Complexity 2019:1-10.
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  46.  7
    Periodizations of Tang Poetry and Choices of Models in the Late Southern Song.Xiaoshan Yang - 2022 - Journal of the American Oriental Society 141 (3):505.
    This study investigates the literary-historical context of the attempts by late Southern Song critics to periodize Tang poetry. It demonstrates that the primary agenda of these critics was to establish High Tang poetry as the sole correct model. The insistence on the supremacy of the High Tang went in tandem with, and formed part of, the rebuke of contemporary poets for choosing Late Tang poetry as the object of emulation. The focal point of contention was whether Late Tang poetry could (...)
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  47.  8
    Fatigue in precipitation hardened materials: a three-dimensional discrete dislocation dynamics modelling of the early cycles.C. S. Shin, C. F. Robertson & M. C. Fivel - 2007 - Philosophical Magazine 87 (24):3657-3669.
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  48.  58
    The axiom of multiple choice and models for constructive set theory.Benno van den Berg & Ieke Moerdijk - 2014 - Journal of Mathematical Logic 14 (1):1450005.
    We propose an extension of Aczel's constructive set theory CZF by an axiom for inductive types and a choice principle, and show that this extension has the following properties: it is interpretable in Martin-Löf's type theory. In addition, it is strong enough to prove the Set Compactness theorem and the results in formal topology which make use of this theorem. Moreover, it is stable under the standard constructions from algebraic set theory, namely exact completion, realizability models, forcing as (...)
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  49.  16
    Low-strain fatigue in 316L steel surface grains: a three dimension discrete dislocation dynamics modelling of the early cycles. Part 2: Persistent slip markings and micro-crack nucleation. [REVIEW]C. Déprés, C. F. Robertson & M. C. Fivel - 2006 - Philosophical Magazine 86 (1):79-97.
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  50. A Model of Wavefunction Collapse in Discrete Space-Time.Shan Gao - 2006 - International Journal of Theoretical Physics 45 (10):1965-1979.
    We give a new argument supporting a gravitational role in quantum collapse. It is demonstrated that the discreteness of space-time, which results from the proper combination of quantum theory and general relativity, may inevitably result in the dynamical collapse of thewave function. Moreover, the minimum size of discrete space-time yields a plausible collapse criterion consistent with experiments. By assuming that the source to collapse the wave function is the inherent random motion of particles described by the wave function, we (...)
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