Results for 'Mathematical modelling'

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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.  12
    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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  3.  7
    Logic and Combinatorics: Proceedings of the AMS-IMS-SIAM Joint Summer Research Conference Held August 4-10, 1985.Stephen G. Simpson, American Mathematical Society, Institute of Mathematical Statistics & Society for Industrial and Applied Mathematics - 1987 - American Mathematical Soc..
    In recent years, several remarkable results have shown that certain theorems of finite combinatorics are unprovable in certain logical systems. These developments have been instrumental in stimulating research in both areas, with the interface between logic and combinatorics being especially important because of its relation to crucial issues in the foundations of mathematics which were raised by the work of Kurt Godel. Because of the diversity of the lines of research that have begun to shed light on these issues, there (...)
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  4.  66
    Advances in Contemporary Logic and Computer Science: Proceedings of the Eleventh Brazilian Conference on Mathematical Logic, May 6-10, 1996, Salvador, Bahia, Brazil.Walter A. Carnielli, Itala M. L. D'ottaviano & Brazilian Conference on Mathematical Logic - 1999 - American Mathematical Soc..
    This volume presents the proceedings from the Eleventh Brazilian Logic Conference on Mathematical Logic held by the Brazilian Logic Society in Salvador, Bahia, Brazil. The conference and the volume are dedicated to the memory of professor Mario Tourasse Teixeira, an educator and researcher who contributed to the formation of several generations of Brazilian logicians. Contributions were made from leading Brazilian logicians and their Latin-American and European colleagues. All papers were selected by a careful refereeing processs and were revised and (...)
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  5. 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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  6.  72
    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 are able to achieve (...)
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  7. 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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  8. 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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  9. Mathematical models of dialogue.C. L. Hamblin - 1971 - Theoria 37 (2):130-155.
  10. 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 a structural analysis (...)
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  11. 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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  12.  63
    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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  13.  41
    Causality, mathematical models and statistical association: dismantling evidence‐based medicine.R. Paul Thompson - 2010 - Journal of Evaluation in Clinical Practice 16 (2):267-275.
  14. A Mathematical Model of Divine Infinity.Eric Steinhart - 2009 - Theology and Science 7 (3):261-274.
    Mathematics is obviously important in the sciences. And so it is likely to be equally important in any effort that aims to understand God in a scientifically significant way or that aims to clarify the relations between science and theology. The degree to which God has any perfection is absolutely infinite. We use contemporary mathematics to precisely define that absolute infinity. For any perfection, we use transfinite recursion to define an endlessly ascending series of degrees of that perfection. That series (...)
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  15.  29
    Mathematical Models and Robustness Analysis in Epistemic Democracy: A Systematic Review of Diversity Trumps Ability Theorem Models.Ryota Sakai - 2020 - Philosophy of the Social Sciences 50 (3):195-214.
    This article contributes to the revision of the procedure of robustness analysis of mathematical models in epistemic democracy using the systematic review method. It identifies the drawbacks of robustness analysis in epistemic democracy in terms of sample universality and inference from samples with the same results. To exemplify the effectiveness of systematic review, this article conducted a pilot review of diversity trumps ability theorem models, which are mathematical models of deliberation often cited by epistemic democrats. A review of (...)
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  16. 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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  17.  67
    A mathematical model for simple learning.Robert R. Bush & Frederick Mosteller - 1951 - Psychological Review 58 (5):313-323.
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  18. Mathematics, Models, and Modality: Selected Philosophical Essays.John P. Burgess - 2008 - Cambridge University Press.
    John Burgess is the author of a rich and creative body of work which seeks to defend classical logic and mathematics through counter-criticism of their nominalist, intuitionist, relevantist, and other critics. This selection of his essays, which spans twenty-five years, addresses key topics including nominalism, neo-logicism, intuitionism, modal logic, analyticity, and translation. An introduction sets the essays in context and offers a retrospective appraisal of their aims. The volume will be of interest to a wide range of readers across philosophy (...)
     
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  19. A Mathematical Model of Quantum Computer by Both Arithmetic and Set Theory.Vasil Penchev - 2020 - Information Theory and Research eJournal 1 (15):1-13.
    A practical viewpoint links reality, representation, and language to calculation by the concept of Turing (1936) machine being the mathematical model of our computers. After the Gödel incompleteness theorems (1931) or the insolvability of the so-called halting problem (Turing 1936; Church 1936) as to a classical machine of Turing, one of the simplest hypotheses is completeness to be suggested for two ones. That is consistent with the provability of completeness by means of two independent Peano arithmetics discussed in Section (...)
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  20. Mathematical Models of Abstract Systems: Knowing abstract geometric forms.Jean-Pierre Marquis - 2013 - Annales de la Faculté des Sciences de Toulouse 22 (5):969-1016.
    Scientists use models to know the world. It i susually assumed that mathematicians doing pure mathematics do not. Mathematicians doing pure mathematics prove theorems about mathematical entities like sets, numbers, geometric figures, spaces, etc., they compute various functions and solve equations. In this paper, I want to exhibit models build by mathematicians to study the fundamental components of spaces and, more generally, of mathematical forms. I focus on one area of mathematics where models occupy a central role, namely (...)
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    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 models (...)
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  22.  39
    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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  23.  9
    Mathematical Models of Time as a Heuristic Tool.Emiliano Ippoliti - 2006 - In Lorenzo Magnani & Claudia Casadio (eds.), Model Based Reasoning in Science and Technology. Logical, Epistemological, and Cognitive Issues. Springer Verlag.
    This paper sets out to show how mathematical modelling can serve as a way of ampliating knowledge. To this end, I discuss the mathematical modelling of time in theoretical physics. In particular I examine the construction of the formal treatment of time in classical physics, based on Barrow’s analogy between time and the real number line, and the modelling of time resulting from the Wheeler-DeWitt equation. I will show how mathematics shapes physical concepts, like time, (...)
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  24. 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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  25.  48
    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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    Mathematical Model of Synaptic Long-Term Potentiation as a Bistability in a Chain of Biochemical Reactions with a Positive Feedback.Aidas Alaburda, Feliksas Ivanauskas & Pranas Katauskis - 2023 - Acta Biotheoretica 71 (3).
    Nitric oxide (NO) is involved in synaptic long-term potentiation (LTP) by multiple signaling pathways. Here, we show that LTP of synaptic transmission can be explained as a feature of signal transduction—bistable behavior in a chain of biochemical reactions with positive feedback, formed by diffusion of NO to the presynaptic site and facilitating the release of glutamate (Glu). The dynamics of Glu, calcium (Ca2+) and NO is described by a system of nonlinear reaction–diffusion equations with modified Michaelis–Menten (MM) kinetics. Numerical investigation (...)
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  27.  14
    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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    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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  29.  10
    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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  30.  14
    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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  31.  16
    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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  32.  9
    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 oscillator (...)
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    Mathematical Models, Rational Choice, and the Search for Cold War Culture.Paul Erickson - 2010 - Isis 101 (2):386-392.
  34.  43
    A Mathematical Model of Rift Valley Fever with Human Host.Saul C. Mpeshe, Heikki Haario & Jean M. Tchuenche - 2011 - Acta Biotheoretica 59 (3):231-250.
    Rift Valley Fever is a vector-borne disease mainly transmitted by mosquito. To gain some quantitative insights into its dynamics, a deterministic model with mosquito, livestock, and human host is formulated as a system of nonlinear ordinary differential equations and analyzed. The disease threshold $$\mathcal{R}_0$$ is computed and used to investigate the local stability of the equilibria. A sensitivity analysis is performed and the most sensitive model parameters to the measure of initial disease transmission $$\mathcal{R}_0$$ and the endemic equilibrium are determined. (...)
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  35. 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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  36. 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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  37. A mathematical model of human life.Li-Kung Shaw - 1959 - Rosario,: Argentina.
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  38.  10
    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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    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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  40.  64
    Mathematical models of foreign policy decision-making: Compensatory vs. noncompensatory.Alex Mintz, Nehemia Geva & Karl Derouen - 1994 - Synthese 100 (3):441 - 460.
    There are presently two leading foreign policy decision-making paradigms in vogue. The first is based on the classical or rational model originally posited by von Neumann and Morgenstern to explain microeconomic decisions. The second is based on the cybernetic perspective whose groundwork was laid by Herbert Simon in his early research on bounded rationality. In this paper we introduce a third perspective — thepoliheuristic theory of decision-making — as an alternative to the rational actor and cybernetic paradigms in international relations. (...)
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  41.  19
    Mathematical Models of Foreign Policy Decision-Making: Compensatory vs. Noncompensatory.Alex Mintz, Nehemia Geva & Karl Derouen Jr - 1994 - Synthese 100 (3):441 - 460.
    There are presently two leading foreign policy decision-making paradigms in vogue. The first is based on the classical or rational model originally posited by von Neumann and Morgenstern to explain microeconomic decisions. The second is based on the cybernetic perspective whose groundwork was laid by Herbert Simon in his early research on bounded rationality. In this paper we introduce a third perspective -- the poliheuristic theory of decision-making -- as an alternative to the rational actor and cybernetic paradigms in international (...)
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  42.  23
    A mathematical model for the spontaneous contractions of the isolated uterine smooth muscle from patients receiving progestin treatment.Christian Vauge, Thérèse-Marie Mignot, Brigitte Paris, Michelle Breuiller-Fouché, Charles Chapron, Michel Attoui & Françoise Ferré - 2003 - Acta Biotheoretica 51 (1):19-34.
    The in vitro spontaneous contractions of human myometrium samples can be described using a phenomenological model involving different cell states and adjustable parameters. In patients not receiving hormone treatment, the dynamic behavior could be described using a three-state model similar to the one we have already used to explain the oscillations of intra-uterine pressure during parturition. However, the shape of the spontaneous contractions of myometrium from patients on progestin treatment was different, due to a two-step relaxation regime including a latched (...)
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    Mathematical Model of COVID-19 Pandemic with Double Dose Vaccination.Festus Abiodun Oguntolu, Mayowa M. Ojo, Afeez Abidemi, Hasan S. Panigoro & Olumuyiwa James Peter - 2023 - Acta Biotheoretica 71 (2):1-30.
    This paper is concerned with the formulation and analysis of an epidemic model of COVID-19 governed by an eight-dimensional system of ordinary differential equations, by taking into account the first dose and the second dose of vaccinated individuals in the population. The developed model is analyzed and the threshold quantity known as the control 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}$$\mathcal {R}_{0}$$\end{document} is obtained. We investigate the equilibrium stability of the system, and the COVID-free equilibrium (...)
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  44. 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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  45. 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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  46. A Formal Mathematical Model of Cognitive Radio.Ramy A. Fathy, Ahmed A. Abdel-Hafez & Abd El-Halim A. Zekry - 2013 - International Journal of Computer and Information Technology 2 (4).
     
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  47.  15
    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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  48. 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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  49. Mathematical models of social interaction.Anatol Rapoport - 1963 - In D. Luce (ed.), Handbook of Mathematical Psychology. John Wiley & Sons.. pp. 2--493.
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  50. (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 how the same (...)
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