Results for ' Mathematical models'

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  1. Professor, Water Science and Civil Engineering University of California Davis, California.A. Mathematical Model - 1968 - In Peter Koestenbaum (ed.), Proceedings. [San Jose? Calif.,: [San Jose? Calif.. pp. 31.
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  2.  70
    A Mathematical Model of Juglar Cycles and the Current Global Crisis.Leonid Grinin, Andrey Korotayev & Sergey Malkov - 2010 - In Leonid Grinin, Peter Herrmann, Andrey Korotayev & Arno Tausch (eds.), History & Mathematics: Processes and Models of Global Dynamics.
    The article presents a verbal and mathematical model of medium-term business cycles (with a characteristic period of 7–11 years) known as Juglar cycles. The model takes into account a number of approaches to the analysis of such cycles; in the meantime it also takes into account some of the authors' own generalizations and additions that are important for understanding the internal logic of the cycle, its variability and its peculiarities in the present-time conditions. The authors argue that the most (...)
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  3. Mathematical models: Questions of trustworthiness.Adam Morton - 1993 - British Journal for the Philosophy of Science 44 (4):659-674.
    I argue that the contrast between models and theories is important for public policy issues. I focus especially on the way a mathematical model explains just one aspect of the data.
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  4.  85
    Mathematical models of biological patterns: Lessons from Hamilton’s selfish herd.Christopher Pincock - 2012 - Biology and Philosophy 27 (4):481-496.
    Mathematical models of biological patterns are central to contemporary biology. This paper aims to consider what these models contribute to biology through the detailed consideration of an important case: Hamilton’s selfish herd. While highly abstract and idealized, Hamilton’s models have generated an extensive amount of research and have arguably led to an accurate understanding of an important factor in the evolution of gregarious behaviors like herding and flocking. I propose an account of what these models (...)
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  5. Mathematical Modelling and Contrastive Explanation.Adam Morton - 1990 - Canadian Journal of Philosophy 20 (Supplement):251-270.
    Mathematical models provide explanations of limited power of specific aspects of phenomena. One way of articulating their limits here, without denying their essential powers, is in terms of contrastive explanation.
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  6.  19
    A Mathematical Model for Alternation of Polygamy and Parthenogenesis: Stability Versus Efficiency and Analogy with Parasitism.Jean-Pierre Françoise, Philippe Lherminier & Evariste Sanchez-Palencia - 2016 - Acta Biotheoretica 64 (4):537-552.
    The present work is a contribution to the understanding of the sempiternal problem of the “burden of factor two” implied by sexual reproduction versus asexual one, as males are energy consumers not contributing to the production of offspring. We construct a deterministic mathematical model in population dynamics where a species enjoys both sexual and parthenogenetic capabilities of reproduction and lives on a limited resource. We then show how polygamy implies instability of a parthenogenetic population with a small number of (...)
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  7.  20
    A Mathematical Model of the Transmission Dynamics of Bovine Schistosomiasis with Contaminated Environment.Jean M. Tchuenche, Shirley Abelman & Solomon Kadaleka - 2022 - Acta Biotheoretica 70 (1):1-28.
    Schistosomiasis, a vector-borne chronically debilitating infectious disease, is a serious public health concern for humans and animals in the affected tropical and sub-tropical regions. We formulate and theoretically analyze a deterministic mathematical model with snail and bovine hosts. The basic reproduction number R0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$R_0$$\end{document} is computed and used to investigate the local stability of the model’s steady states. Global stability of the endemic equilibrium is carried out by constructing a suitable Lyapunov (...)
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  8.  16
    Classification Theory: Proceedings of the U.S.-Israel Workshop on Model Theory in Mathematical Logic Held in Chicago, Dec. 15-19, 1985.J. T. Baldwin & U. Workshop on Model Theory in Mathematical Logic - 1987 - Springer.
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  9.  2
    A mathematical model of human life.Li-Kung Shaw - 1959 - Rosario,: Argentina.
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  10. A mathematical model of life and living.Li-Kung Shaw - 1972 - Buenos Aires,: Libreria Inglesa.
    [v. 1. Basic theories]--v. 2. Applications.--v. 3. Theory of plants and other essays.
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  11. (Mis)interpreting Mathematical Models: Drift as a Physical Process.Michael R. Dietrich, Robert A. Skipper Jr & Roberta L. Millstein - 2009 - Philosophy, Theory, and Practice in Biology 1 (20130604):e002.
    Recently, a number of philosophers of biology have endorsed views about random drift that, we will argue, rest on an implicit assumption that the meaning of concepts such as drift can be understood through an examination of the mathematical models in which drift appears. They also seem to implicitly assume that ontological questions about the causality of terms appearing in the models can be gleaned from the models alone. We will question these general assumptions by showing (...)
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  12. Mathematical Models in Newton’s Principia: A New View of the “Newtonian Style”.Steffen Ducheyne - 2005 - International Studies in the Philosophy of Science 19 (1):1 – 19.
    In this essay I argue against I. Bernard Cohen's influential account of Newton's methodology in the Principia: the 'Newtonian Style'. The crux of Cohen's account is the successive adaptation of 'mental constructs' through comparisons with nature. In Cohen's view there is a direct dynamic between the mental constructs and physical systems. I argue that his account is essentially hypothetical-deductive, which is at odds with Newton's rejection of the hypothetical-deductive method. An adequate account of Newton's methodology needs to show how Newton's (...)
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  13. Mathematical models and reality: A constructivist perspective. [REVIEW]Christian Hennig - 2010 - Foundations of Science 15 (1):29-48.
    To explore the relation between mathematical models and reality, four different domains of reality are distinguished: observer-independent reality, personal reality, social reality and mathematical/formal reality. The concepts of personal and social reality are strongly inspired by constructivist ideas. Mathematical reality is social as well, but constructed as an autonomous system in order to make absolute agreement possible. The essential problem of mathematical modelling is that within mathematics there is agreement about ‘truth’, but the assignment of (...)
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  14.  10
    Improved Mathematical Models of Parkinson's Disease with Hopf Bifurcation and Huntington's Disease with Chaos.M. A. Elfouly - 2024 - Acta Biotheoretica 72 (3):1-29.
    Using delay differential equations to study mathematical models of Parkinson's disease and Huntington's disease is important to show how important it is for synchronization between basal ganglia loops to work together. We used the delay circuit RLC (resistor, inductor, capacitor) model to show how the direct pathway and the indirect pathway in the basal ganglia excite and inhibit the motor cortex, respectively. A term has been added to the mathematical model without time delay in the case of (...)
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  15.  39
    Mathematical models of HIV pathogenesis and treatment.Dominik Wodarz & Martin A. Nowak - 2002 - Bioessays 24 (12):1178-1187.
    We review mathematical models of HIV dynamics, disease progression, and therapy. We start by introducing a basic model of virus infection and demonstrate how it was used to study HIV dynamics and to measure crucial parameters that lead to a new understanding of the disease process. We discuss the diversity threshold model as an example of the general principle that virus evolution can drive disease progression and the destruction of the immune system. Finally, we show how mathematical (...)
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  16.  15
    Mathematical Model Building in the Solution of Mechanics Problems: Human Protocols and the MECHO Trace.George F. Luger - 1981 - Cognitive Science 5 (1):55-77.
    This paper describes model building and manipulation in the solution of problems in mechanics. An automatic problem solver, MECHO, solving problems in several areas of mechanics, employs (1) a knowledge base representing the semantic content of the particular problem area, (2) a means-ends search strategy similar to GPS to produce sets of simultaneous equations and (3) a “focusing” technique, based on the data within the knowledge base, to guide the GSP-like search through possible equation instantiations. Sets of predicate logic statements (...)
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  17.  54
    Causality, mathematical models and statistical association: dismantling evidence‐based medicine.R. Paul Thompson - 2010 - Journal of Evaluation in Clinical Practice 16 (2):267-275.
  18.  23
    A Mathematical Model of the Tuberculosis Epidemic.Ally Yeketi Ayinla, Wan Ainun Mior Othman & Musa Rabiu - 2021 - Acta Biotheoretica 69 (3):225-255.
    Tuberculosis has continued to retain its title as “the captain among these men of death”. This is evident as it is the leading cause of death globally from a single infectious agent. TB as it is fondly called has become a major threat to the achievement of the sustainable development goals (SDG) and hence require inputs from different research disciplines. This work presents a mathematical model of tuberculosis. A compartmental model of seven classes was used in the model formulation (...)
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    A Mathematical Model of a Fishery with Variable Market Price: Sustainable Fishery/over-exploitation.Fulgence Mansal, Tri Nguyen-Huu, Pierre Auger & Moussa Balde - 2014 - Acta Biotheoretica 62 (3):305-323.
    We present a mathematical bioeconomic model of a fishery with a variable price. The model describes the time evolution of the resource, the fishing effort and the price which is assumed to vary with respect to supply and demand. The supply is the instantaneous catch while the demand function is assumed to be a monotone decreasing function of price. We show that a generic market price equation (MPE) can be derived and has to be solved to calculate non trivial (...)
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  20.  61
    Mathematics, Models, and Modality.Roy T. Cook - 2010 - History and Philosophy of Logic 31 (3):287-289.
    John P. Burgess, Mathematics, Models, and Modality: Selected Philosophical Essays. Cambridge: Cambridge University Press, 2008. xiii + 301 pp. $90.00, £50.00. ISBN 978-0-521-88034-3. Adobe eBook, $...
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  21.  40
    Mathematical model and simulation of retina and tectum opticum of lower vertebrates.U. an der Heiden & G. Roth - 1987 - Acta Biotheoretica 36 (3):179-212.
    The processing of information within the retino-tectal visual system of amphibians is decomposed into five major operational stages, three of them taking place in the retina and two in the optic tectum. The stages in the retina involve a spatially local high-pass filtering in connection to the perception of moving objects, separation of the receptor activity into ON- and OFF-channels regarding the distinction of objects on both light and dark backgrounds, spatial integration via near excitation and far-reaching inhibition. Variation of (...)
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  22. Mathematical models of dialogue.C. L. Hamblin - 1971 - Theoria 37 (2):130-155.
  23.  25
    A Mathematical Model for Substitute Teacher Demands.Daniel Littleton - 2018 - Alétheia: Revista Académica de la Escuela de Postgrado de la Universidad Femenina del Sagrado Corazón-Unifé 3 (2).
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  24. A Mathematical Model for Info-computationalism.A. C. Ehresmann - 2014 - Constructivist Foundations 9 (2):235-237.
    Open peer commentary on the article “Info-computational Constructivism and Cognition” by Gordana Dodig-Crnkovic. Upshot: I propose a mathematical approach to the framework developed in Dodig-Crnkovic’s target article. It points to an important property of natural computation, called the multiplicity principle (MP), which allows the development of increasingly complex cognitive processes and knowledge. While local dynamics are classically computable, a consequence of the MP is that the global dynamics is not, thus raising the problem of developing more elaborate computations, perhaps (...)
     
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  25.  30
    Mathematical model for the calculation of resistance to heat transmission at the cross-flow of gas in tunnel ovens for the production of construction ceramics.K. Tahirbegović, Dimitrije Voronjec & N. Radojković - 1997 - Facta Universitatis, Series: Linguistics and Literature 4:409-421.
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  26. A Mathematical Model of Dignāga’s Hetu-cakra.Aditya Kumar Jha - 2020 - Journal of the Indian Council of Philosophical Research 37 (3):471-479.
    A reasoned argument or tarka is essential for a wholesome vāda that aims at establishing the truth. A strong tarka constitutes of a number of elements including an anumāna based on a valid hetu. Several scholars, such as Dharmakīrti, Vasubandhu and Dignāga, have worked on theories for the establishment of a valid hetu to distinguish it from an invalid one. This paper aims to interpret Dignāga’s hetu-cakra, called the wheel of grounds, from a modern philosophical perspective by deconstructing it into (...)
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    Ii. mathematical modelling of election predictions: Comments to Simon 's reply.Karl Egil Aubert - 1983 - Inquiry: An Interdisciplinary Journal of Philosophy 26 (1):132 – 134.
    Herbert A. Simon's reply (Inquiry, Vol. 25, No. 3) to my criticism of his 1954 paper is not to the point. He fails to respond to some of my arguments and misconceives others. One of his misconceptions is that any mathematical deduction from empirical premises which are formulated mathematically will necessarily lead to empirically valid conclusions. This claim is particularly unwarrantable in Simon's case since his mathematical premise, the continuity of the reaction function, is empirically meaningless.
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  28.  45
    Mathematical modelling of an ischemic stroke: An integrative approach.Marie-Aimée Dronne, Jean-Pierre Boissel, Emmanuel Grenier, Hervé Gilquin, Michel Cucherat, Marc Hommel, Emmanuel Barbier & Giampiero Bricca - 2004 - Acta Biotheoretica 52 (4):255-272.
    Understanding the mechanisms and the time and spatial evolution of penumbra following an ischemic stroke is crucially important for developing therapeutics aimed at preventing this area from evolving towards infarction. To help in integrating the available data, we decided to build a formal model. We first collected and categorised the major available evidence from animal models and human observations and summarized this knowledge in a flow-chart with the potential key components of an evolving stroke. Components were grouped in ten (...)
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  29. A Mathematical Model of Aristotle’s Syllogistic.John Corcoran - 1973 - Archiv für Geschichte der Philosophie 55 (2):191-219.
    In the present article we attempt to show that Aristotle's syllogistic is an underlying logiC which includes a natural deductive system and that it isn't an axiomatic theory as had previously been thought. We construct a mathematical model which reflects certain structural aspects of Aristotle's logic. We examine the relation of the model to the system of logic envisaged in scattered parts of Prior and Posterior Analytics. Our interpretation restores Aristotle's reputation as a logician of consummate imagination and skill. (...)
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  30.  48
    A mathematical model of Churchmanian inquiring systems with special reference to Popper's measures for?The Severity of Tests?Ian I. Mitroff, Frederick Betz & Richard O. Mason - 1970 - Theory and Decision 1 (2):155-178.
    Through the use of Bayesian probability theory and Communication theory, a formal mathematical model of a Churchmanian Dialectical Inquirer is developed. The Dialectical Inquirer is based on Professor C. West Churchman's novel interpretation and application of Hegelian dialectics to decision theory. The result is not only the empirical application of dialectical inquiry but also its empirical (i.e., scientific) investigation. The Dialectical Inquirer is seen as especially suited to problems in strategic policy formation and in decision theory. Finally, specific application (...)
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  31.  15
    A mathematical model of a simple human galvanic skin response based upon its rate topography.Darwin P. Hunt - 1977 - Bulletin of the Psychonomic Society 10 (2):149-151.
  32.  10
    Application of Linear Regression Mathematical Model in the Evaluation of Teachers’ Informatization Quality.Shuping Li & Xinlei Yuan - 2021 - Complexity 2021:1-10.
    With the widespread application of information technology and the continuous deepening of my country’s education informatization construction, the educational field has increasingly higher requirements for teachers’ informatization quality. The advancement of the process of education informatization depends to a large extent on the level of teachers’ own level of informatization and has gradually become an important indicator to measure the informatization of education. The main body of education and the decisive factor are teachers. The scientific and reasonable evaluation of informatization (...)
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  33.  23
    A mathematical model for the shape of the hooks of cestodae.L. Dujardin & T. Duriez - 1995 - Acta Biotheoretica 43 (3):217-225.
    The shape of hooks is of a taxonomic significance for cestoda. In order to characterize shape through numbers, a mathermatical model of drawings in two-dimensional space is proposed. This model is a synthetic one: first, it uses a large number of points on the edge of a hook-drawing as data; secondly, it enables to draw a specific hook by means of a computer after the parameters have been extracted from the data. The method does not use landmarks and therefore avoids (...)
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  34. Mathematical models of games of chance: Epistemological taxonomy and potential in problem-gambling research.Catalin Barboianu - 2015 - UNLV Gaming Research and Review Journal 19 (1):17-30.
    Games of chance are developed in their physical consumer-ready form on the basis of mathematical models, which stand as the premises of their existence and represent their physical processes. There is a prevalence of statistical and probabilistic models in the interest of all parties involved in the study of gambling – researchers, game producers and operators, and players – while functional models are of interest more to math-inclined players than problem-gambling researchers. In this paper I present (...)
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  35. Do mathematical models represent the world? : the case of quantum mathematical models.Carlos Madrid - 2009 - In José Luis González Recio (ed.), Philosophical essays on physics and biology. New York: G. Olms.
     
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  36.  22
    Beyond Metaphor: Mathematical Models in Economics as Empirical Research.Daniel Breslau & Yuval Yonay - 1999 - Science in Context 12 (2):317-332.
    The ArgumentWhen economists report on research using mathematical models, they use a literary form similar to the experimental report in the laboratory sciences. This form consists of a narrative of a series of events, with a clear temporal segregation of the agency of the author and the agency of the objects of study. Existing explanations of this literary form treat it as a rhetorical device that either conceals the agency of the author in constructing and interpreting the findings, (...)
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  37.  30
    A mathematical model of uterine dynamics and its application to human parturition.C. Vauge, B. Carbonne, E. Papiernik & F. Ferré - 2000 - Acta Biotheoretica 48 (2):95-105.
    We have developed a simple mathematical model with three physiologically significant states to describe the changes in intrauterine pressure associated with a contraction during human parturition. The myometrium is modelled as a set of smooth muscle cells, each of which is in one of three states (quiescent, contracted, refractory) at a given time. These states are occupied according to a cycle governed by three temporal parameters. The solutions of the equations describing the model show an oscillatory behavior for particular (...)
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  38. Mathematical Models for Unstable Quantum Systems and Gamow States.Manuel Gadella, Sebastian Fortin, Juan Pablo Jorge & Marcelo Losada - 2022 - Entropy 24 (6):804.
    We review some results in the theory of non-relativistic quantum unstable systems. We account for the most important definitions of quantum resonances that we identify with unstable quantum systems. Then, we recall the properties and construction of Gamow states as vectors in some extensions of Hilbert spaces, called Rigged Hilbert Spaces. Gamow states account for the purely exponential decaying part of a resonance; the experimental exponential decay for long periods of time physically characterizes a resonance. We briefly discuss one of (...)
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  39. Mathematical models of cognitive space and time.Joseph Goguen - 2006 - In D. Andler, M. Okada & I. Watanabe (eds.), Reasoning and Cognition. pp. 125--128.
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  40.  28
    An investigation of some mathematical models for learning.Curt F. Fey - 1961 - Journal of Experimental Psychology 61 (6):455.
  41.  32
    Towards a simple mathematical model for the legal concept of balancing of interests.Frederike Zufall, Rampei Kimura & Linyu Peng - 2023 - Artificial Intelligence and Law 31 (4):807-827.
    We propose simple nonlinear mathematical models for the legal concept of balancing of interests. Our aim is to bridge the gap between an abstract formalisation of a balancing decision while assuring consistency and ultimately legal certainty across cases. We focus on the conflict between the rights to privacy and to the protection of personal data in Art. 7 and Art. 8 of the EU Charter of Fundamental Rights (EUCh) against the right of access to information derived from Art. (...)
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  42. Mathematical model and simulation of retina and tectum opticum of lower vertebrates.U. Heiden & G. Roth - 1987 - Acta Biotheoretica 36 (3).
    The processing of information within the retino-tectal visual system of amphibians is decomposed into five major operational stages, three of them taking place in the retina and two in the optic tectum. The stages in the retina involve (i) a spatially local high-pass filtering in connection to the perception of moving objects, (ii) separation of the receptor activity into ON- and OFF-channels regarding the distinction of objects on both light and dark backgrounds, (iii) spatial integration via near excitation and far-reaching (...)
     
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  43. A mathematical model for philosophy.Gabriel Theodor Pripoae & Sorin Comorosan - 1998 - Diálogos. Revista de Filosofía de la Universidad de Puerto Rico 33 (71):97-120.
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  44.  94
    The problematic value of mathematical models of evidence.Ronald J. Allen & Michael S. Pardo - 2007
    Legal scholarship exploring the nature of evidence and the process of juridical proof has had a complex relationship with formal modeling. As evident in so many fields of knowledge, algorithmic approaches to evidence have the theoretical potential to increase the accuracy of fact finding, a tremendously important goal of the legal system. The hope that knowledge could be formalized within the evidentiary realm generated a spate of articles attempting to put probability theory to this purpose. This literature was both insightful (...)
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  45.  56
    Mathematical Modelling and Ideology in the Economics Academy: competing explanations of the failings of the modern discipline?Tony Lawson - 2012 - Economic Thought 1 (1).
    The widespread and long-lived failings of academic economics are due to an over-reliance on largely inappropriate mathematical methods of analysis. This is an assessment I have long maintained. Many heterodox economists, however, appear to hold instead that the central problem is a form of political-economic ideology. Specifically, it is widely contended in heterodox circles that the discipline goes astray just because so many economists are committed to a portrayal of the market economy as a smoothly or efficiently functioning system (...)
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  46.  11
    A mathematical model for solution growth of bulk crystals under magnetic field.S. Dost & H. Sheibani - 2005 - Philosophical Magazine 85 (33-35):4331-4351.
  47.  28
    Mathematical models, explanation, laws, and evolutionary biology.Mehmet Elgin - 2010 - History and Philosophy of the Life Sciences 32 (4).
  48. Mathematics, Models and Zeno's Paradoxes.Joseph S. Alper & Mark Bridger - 1997 - Synthese 110 (1):143-166.
    A version of nonstandard analysis, Internal Set Theory, has been used to provide a resolution of Zeno's paradoxes of motion. This resolution is inadequate because the application of Internal Set Theory to the paradoxes requires a model of the world that is not in accordance with either experience or intuition. A model of standard mathematics in which the ordinary real numbers are defined in terms of rational intervals does provide a formalism for understanding the paradoxes. This model suggests that in (...)
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  49.  32
    A Mathematical Model of How People Solve Most Variants of the Number‐Line Task.Dale J. Cohen, Daryn Blanc-Goldhammer & Philip T. Quinlan - 2018 - Cognitive Science 42 (8):2621-2647.
    Current understanding of the development of quantity representations is based primarily on performance in the number‐line task. We posit that the data from number‐line tasks reflect the observer's underlying representation of quantity, together with the cognitive strategies and skills required to equate line length and quantity. Here, we specify a unified theory linking the underlying psychological representation of quantity and the associated strategies in four variations of the number‐line task: the production and estimation variations of the bounded and unbounded number‐line (...)
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  50.  27
    Mathematical Models of Photons.Imants Bersons, Rita Veilande & Ojars Balcers - 2023 - Foundations of Physics 53 (4):1-16.
    Mathematics from the electromagnetic field quantization procedure and the soliton models of photons are used to construct a new 3D model of photons. Besides the interaction potential between the charged particle and the photons, which contains the annihilation and creation operators of photons, the new function for a description of free propagating photons is derived. This function presents the vector potential of the field, the function is a product of the harmonic oscillator eigenfunction with the well-defined coordinate of the (...)
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