Results for 'Alexander Markov'

956 found
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  1.  54
    Aromorphoses in Biological and Social Evolution: Some General Rules for Biological and Social Forms of Macroevolution.Leonid Grinin, Alexander Markov, Markov & Andrey Korotayev - 2009 - Social Evolution and History 8 (2).
    The comparison between biological and social macroevolution is a very important (though insufficiently studied) subject whose analysis renders new significant possibilities to comprehend the processes, trends, mechanisms, and peculiarities of each of the two types of macroevolution. Of course, there are a few rather important (and very understandable) differences between them; however, it appears possible to identify a number of fundamental similarities. One may single out at least three fundamental sets of factors determining those similarities. First of all, those similarities (...)
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  2. Mathematical Modeling of Biological and Social Evolutionary Macrotrends.Leonid Grinin, Alexander V. Markov & Andrey V. Korotayev - 2014 - In Leonid Grinin & Andrey Korotayev (eds.), History & Mathematics: Trends and Cycles. Volgograd: "Uchitel" Publishing House. pp. 9-48.
    In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. Based on diverse paleontological data and an analogy with macrosociological models, we suggest that the (...)
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  3.  25
    Context-Dependent Risk Aversion: A Model-Based Approach.Darío Cuevas Rivera, Florian Ott, Dimitrije Markovic, Alexander Strobel & Stefan J. Kiebel - 2018 - Frontiers in Psychology 9:393268.
    Most research on risk aversion in behavioral science with human subjects has focused on a component of risk aversion that does not adapt itself to context. More recently, studies have explored risk aversion adaptation to changing circumstances in sequential decision-making tasks. It is an open question whether one can identify evidence, at the single subject level, for such risk aversion adaptation. We conducted a behavioral experiment on human subjects, using a sequential decision making task. We developed a model-based approach for (...)
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  4. Uncovering constitutive relevance relations in mechanisms.Alexander Gebharter - 2017 - Philosophical Studies 174 (11):2645-2666.
    In this paper I argue that constitutive relevance relations in mechanisms behave like a special kind of causal relation in at least one important respect: Under suitable circumstances constitutive relevance relations produce the Markov factorization. Based on this observation one may wonder whether standard methods for causal discovery could be fruitfully applied to uncover constitutive relevance relations. This paper is intended as a first step into this new area of philosophical research. I investigate to what extent the PC algorithm, (...)
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  5. Modeling of Biological and Social Phases of Big History.Leonid Grinin, Andrey V. Korotayev & Alexander V. Markov - 2015 - In Leonid Grinin & Andrey Korotayev (eds.), Evolution: From Big Bang to Nanorobots. Uchitel Publishing House. pp. 111-150.
    In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. Based on diverse paleontological data and an analogy with macrosociological models, we suggest that the (...)
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  6. Causal Exclusion and Causal Bayes Nets.Alexander Gebharter - 2017 - Philosophy and Phenomenological Research 95 (2):353-375.
    In this paper I reconstruct and evaluate the validity of two versions of causal exclusion arguments within the theory of causal Bayes nets. I argue that supervenience relations formally behave like causal relations. If this is correct, then it turns out that both versions of the exclusion argument are valid when assuming the causal Markov condition and the causal minimality condition. I also investigate some consequences for the recent discussion of causal exclusion arguments in the light of an interventionist (...)
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  7. A new proposal how to handle counterexamples to Markov causation à la Cartwright, or: fixing the chemical factory.Nina Retzlaff & Alexander Gebharter - 2020 - Synthese 197 (4):1467-1486.
    Cartwright (Synthese 121(1/2):3–27, 1999a; The dappled world, Cambridge University Press, Cambridge, 1999b) attacked the view that causal relations conform to the Markov condition by providing a counterexample in which a common cause does not screen off its effects: the prominent chemical factory. In this paper we suggest a new way to handle counterexamples to Markov causation such as the chemical factory. We argue that Cartwright’s as well as similar scenarios feature a certain kind of non-causal dependence that kicks (...)
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  8.  34
    Modelos ocultos de Markov en espacios de disimilaridad: Alternativas para la selección de prototipos.Mauricio Alexander Alvarez López & Ricardo Henao - forthcoming - Scientia.
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  9.  78
    Learning to Signal in a Dynamic World.J. McKenzie Alexander - 2012 - British Journal for the Philosophy of Science 65 (4):797-820.
    Sender–receiver games, first introduced by David Lewis ([1969]), have received increased attention in recent years as a formal model for the emergence of communication. Skyrms ([2010]) showed that simple models of reinforcement learning often succeed in forming efficient, albeit not necessarily minimal, signalling systems for a large family of games. Later, Alexander et al. ([2012]) showed that reinforcement learning, combined with forgetting, frequently produced both efficient and minimal signalling systems. In this article, I define a ‘dynamic’ sender–receiver game in (...)
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  10.  32
    Markov blankets do not demarcate the boundaries of the mind.Richard Menary & Alexander J. Gillett - 2022 - Behavioral and Brain Sciences 45:e201.
    We agree with Bruineberg and colleagues' main claims. However, we urge for a more forceful critique by focusing on the extended mind debate. We argue that even once the Pearl and Friston versions of the Markov blanket have been untangled, that neither is sufficient for tackling and resolving the question of demarcating the boundaries of the mind.
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  11.  27
    Selección del modelo por criterios de información para análisis de componentes principales ocultas de markov.Mauricio Alexander Alvarez López & Ricardo Henao - forthcoming - Scientia.
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  12. How Occam's razor provides a neat definition of direct causation.Alexander Gebharter & Gerhard Schurz - 2014 - In J. M. Mooij, D. Janzing, J. Peters, T. Claassen & A. Hyttinen (eds.), Proceedings of the UAI Workshop Causal Inference: Learning and Prediction. CEUR-WS. pp. 1-10.
    In this paper we show that the application of Occam’s razor to the theory of causal Bayes nets gives us a neat definition of direct causation. In particular we show that Occam’s razor implies Woodward’s (2003) definition of direct causation, provided suitable intervention variables exist and the causal Markov condition (CMC) is satisfied. We also show how Occam’s razor can account for direct causal relationships Woodward style when only stochastic intervention variables are available.
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  13. A Comparison of Penalized Maximum Likelihood Estimation and Markov Chain Monte Carlo Techniques for Estimating Confirmatory Factor Analysis Models With Small Sample Sizes.Oliver Lüdtke, Esther Ulitzsch & Alexander Robitzsch - 2021 - Frontiers in Psychology 12.
    With small to modest sample sizes and complex models, maximum likelihood estimation of confirmatory factor analysis models can show serious estimation problems such as non-convergence or parameter estimates outside the admissible parameter space. In this article, we distinguish different Bayesian estimators that can be used to stabilize the parameter estimates of a CFA: the mode of the joint posterior distribution that is obtained from penalized maximum likelihood estimation, and the mean, median, or mode of the marginal posterior distribution that are (...)
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  14.  17
    A continuity of Markov blanket interpretations under the free-energy principle.Anil Seth, Tomasz Korbak & Alexander Tschantz - 2022 - Behavioral and Brain Sciences 45:e208.
    Bruineberg and colleagues helpfully distinguish between instrumental and ontological interpretations of Markov blankets, exposing the dangers of using the former to make claims about the latter. However, proposing a sharp distinction neglects the value of recognising a continuum spanning from instrumental to ontological. This value extends to the related distinction between “being” and “having” a model.
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  15.  9
    Metafizika, ontologii︠a︡, modeli: sbornik s ontologichni izsledvanii︠a︡, posveteni na 65-godishninata na dot︠s︡. Sasho Markov = Metaphysics, ontology, models: collection of ontological studies in honour of the 65th anniversary of assoc. prof. Sasho, MARKOV, PhD.Sasho Markov & Vikhren Buzov (eds.) - 2023 - Veliko Tarnovo: UI Sv. Kiril i Metodiĭ.
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  16. Dimensional theoretical properties of some affine dynamical systems.Jörg Neunhäuserer - 1999 - Dissertation,
    In this work we study dimensional theoretical properties of some a±ne dynamical systems. By dimensional theoretical properties we mean Hausdor® dimension and box- counting dimension of invariant sets and ergodic measures on theses sets. Especially we are interested in two problems. First we ask whether the Hausdor® and box- counting dimension of invariant sets coincide. Second we ask whether there exists an ergodic measure of full Hausdor® dimension on these invariant sets. If this is not the case we ask the (...)
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  17. An Approach to Constructive Mathematical Logic.A. A. Markov, B. van Rootselaar & J. F. Staal - 1975 - Journal of Symbolic Logic 40 (1):85-85.
  18.  27
    Heidegger and Nietzsche.Boris V. Markov - 2011 - Russian Studies in Philosophy 50 (1):34-61.
  19.  26
    Divine Darkness and Legal Darkness: Apophasis, Cataphasis and the Making of Legal Cultures of the First Millennium.Simlen Markov, Rebecca White & Peter Petkoff - 2022 - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 36 (1):185-209.
    The article explores the long lost synthesis between apophatic and cataphatic theological strategies and early legal systematizations which shaped the Christian, Jewish and Islamic legal collections in the twelfth century. It argues that the theological possibilities to achieve Divine knowledge have reached out to all normative forms of human existence including law. It focuses specifically on a Christian context where imagining the law involves complex scales of cataphasis and apophasis and parallels other normative forms such as ritual and ascetic practices. (...)
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  20.  27
    The Pulkovo Observatory and Some American Astronomers of the Mid-19th Century.Eufrosina Dvoichenko-Markov - 1952 - Isis 43 (3):243-246.
  21. The Russian primary chronicle and the Vlachs of Eastern Europe.Demetrius de Dvoichenko-Markov - 1979 - Byzantion 49:175-87.
     
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  22. The Vlachs, the Latin speaking population of Eastern Europe.D. Dvoichenko-Markov - 1984 - Byzantion 54:508-526.
     
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  23.  73
    An Example of Statistical Investigation of the Text Eugene Onegin Concerning the Connection of Samples in Chains.A. A. Markov - 2006 - Science in Context 19 (4):591-600.
    This study investigates a text excerpt containing 20,000 Russian letters of the alphabet, excluding $\Cprime$ and $\Cdprime$, from Pushkin's novel Eugene Onegin–the entire first chapter and sixteen stanzas of the second.
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  24. Byt--ne chastnoe delo.Valdimir Semenovich Markov - 1964
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  25. Bitka za literaturni print︠s︡ipi.Georgi Mitrev Markov - 1987 - Sofii︠a︡: Bŭlgarski pisatel.
     
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  26.  9
    Chelovek, gosudarstvo i Bog v filosofii Nit︠s︡she.B. V. Markov - 2005 - Sankt-Peterburg: "Vladimir Dalʹ".
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  27. Das andere Europa.Boris Markov - 2000 - In Werner Stegmaier (ed.), Europa-Philosophie. New York: Walter de Gruyter.
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  28. Dva ocherka o geografi.K. K. Markov - 1978
     
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  29. Ėkspluatat︠s︡ionnyĭ kontrolʹ ėlektricheskikh parametrov dugovykh ėlektropecheĭ.Nikolaĭ Andreevich Markov - 1973 - Edited by Barannik, Orest Viktorovich & [From Old Catalog].
     
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  30.  22
    Einstein on Peace.M. A. Markov - 1979 - Russian Studies in Philosophy 18 (3):3-18.
    Note by editors of Voprosy filosofii: The great transformer of modern natural science, Albert Einstein, was not only a physicist of genius, not merely the discoverer of outstanding scientific discoveries: he was also a remarkable human being, a courageous protagonist of peace and justice on earth. A convinced humanist and antifascist, he spoke out irreconcilably against chauvinism, militarism, and misanthropy, always and everywhere. Defending the principles of humanism and high ideals of citizenship, aware of his responsibility as a scientist, he (...)
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  31.  9
    Filosofskai︠a︡ antropologii︠a︡: ocherki istorii i teorii.B. V. Markov - 1997 - Sankt-Peterburg: Lanʹ.
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  32.  7
    Filosofskai︠a︡ antropologii︠a︡: ocherk istorii.B. V. Markov & A. N. Isakov (eds.) - 2003 - S-Peterburg: Izd-vo S-Peterburgskogo universiteta.
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  33.  5
    Filosofii︠a︡ obshchestvu.B. V. Markov & I︠U︡. M. Shilkov (eds.) - 2007 - Sankt-Peterburg: Izdatelʹstvo S.-Peterburgskogo universiteta.
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  34.  11
    Filosofii︠a︡ protesta: messianizm - liberalizm - konservatizm.B. V. Markov - 2022 - Sankt-Peterburg: "Vladimir Dalʹ".
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  35. Filosofii︠a︡ v poiskakh i sporakh: Peterburgskie si︠u︡zhety.B. V. Markov & I︠U︡. M. Shilkov (eds.) - 2007 - Sankt-Peterburg: Izdatelʹstvo S.-Peterburgskogo universiteta.
     
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  36.  12
    Gültigkeit und Anerkennung der natürlichen Grenzen Gennadios Scholarios’ Konzept des natürlichen Gesetzes.Smilen Markov - 2014 - In Guy Guldentops & Andreas Speer (eds.), Das Gesetz - the Law - la Loi. De Gruyter. pp. 437-454.
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  37. Issledovanii︠a︡ po teorii algorifmov i matematicheskoĭ logike: [Sb. stateĭ].A. A. Markov & V. I. Khomich (eds.) - 1979 - Moskva: Nauka.
     
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  38.  11
    Li︠u︡di i znaki: Antropologii︠a︡ mezhlichnostnoĭ kommunikat︠s︡ii.B. V. Markov - 2011 - Sankt-Peterburg: Nauka.
    Монография отражает лингвистический поворот в философии XX века. Особое внимание уделяется невербальным формам коммуникации, предлагается техника анализа таких медиумов, как образы и звуки, тело, лицо, жилище, еда и другие. Для специалистов.
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  39.  5
    Li︠u︡bomŭdrie na istorii︠a︡ta.Georgi Markov - 2008 - Sofii︠a︡: Zakhariĭ Stoi︠a︡nov.
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  40.  6
    Metafizicheski eti︠u︡di.Sasho Markov - 2001 - Veliko Tŭrnovo: Slovo.
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  41. Marksistsko-leninskai︠a︡ filosofii︠a︡.Markov, Alekseĭ Dmitrievich & [From Old Catalog] (eds.) - unknown - 1970-73.: [V..
     
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  42.  18
    Mythological Symbols From the Thracian Megalithic Sanctuaries, Christian and Muslim Sacred Places on the BALKans.Vassil Markov - 2017 - RAPHISA REVISTA DE ANTROPOLOGÍA Y FILOSOFÍA DE LO SAGRADO 1 (2).
    The ancient Thracian megalithic and stone-hewn sacred places are full of symbols closely connected with the Thracian mythology and ancient cult practices which were typical for this area. Among them the most numerous are the huge stone-hewn human footprints, which in Bulgarian folklore were regarded as the footprints of the hero Krali Marko, who was thought of as the guardian of the people in Bulgaria. In the contemporary science studying Thrace he is believed to have been the folklore successor of (...)
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  43.  9
    Nauka i alternativnye formy znanii︠a︡: mezhvuzovskiĭ sbornik.B. V. Markov (ed.) - 1995 - Sankt-Peterburg: Izd-vo S.-Peterburgskogo universiteta.
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  44. Nauchno-tekhnicheskai︠a︡ revoli︠u︡t︠s︡ii︠a︡: analiz, perspektivy, posledstvii︠a︡.Nikolai Vasil'evich Markov - 1973 - Politizdat.
     
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  45.  16
    On a Remarkable Case of Samples Connected in a Chain. Appendix on the statistical investigation of a text by Aksakov.A. A. Markov - 2006 - Science in Context 19 (4):601-604.
    I have conducted a similar investigation on a text by a different author. The results of this investigation, which was performed on a text passage of 100,000 letters, are presented in the following tables from which one can see how and to what extent the limit theorems of the calculus of probability actually become evident.
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  46. Problemy obosnovanii︠a︡ i proveri︠a︡emosti teoreticheskogo znanii︠a︡.B. V. Markov - 1984 - Leningrad: Izd-vo Leningradskogo universiteta.
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  47. Razmyshli︠a︡i︠a︡ o fizike--.M. A. Markov - 1988 - Moskva: Nauka.
     
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  48.  11
    Símbolos Mitológicos de Los Santuarios Megalíticos Tracios, y de Los Santuarios Cristianos y Musulmanes En Los Balcanes.Vassil Markov - 2017 - RAPHISA REVISTA DE ANTROPOLOGÍA Y FILOSOFÍA DE LO SAGRADO 1 (2).
    Resumen: Los antiguos espacios sagrados tracios megaliticos y dolménicos están llenos de símbolos estrechamente conectados con la mitología de los tracios y las antiguas prácticas de culto, típicas de esta área. Las más numerosas son las grandes tallas en piedra de huellas que el folclore búlgaro considera las del heroe Krali Marko, considerado como el guardia de las personas en Bulgaria. En la ciencia contemporánea que estudia la Tracia se cree que él ha sido el sucesor del Dionisio tracio.Hacer un (...)
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  49. (1 other version)Teorii︠a︡ algorifmov.A. A. Markov - 1984 - Moskva: "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry. Edited by N. M. Nagornyĭ.
     
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  50. The Byzantine concept of historical time : origin and development.Smilen Markov - 2018 - In Sotiris Mitralexis & Marcin Podbielski (eds.), Christian and Islamic philosophies of time. Wilmington, Delaware: Vernon Press.
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