A Deterministic Model of the Free Will Phenomenon Abstract
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Autonomy and Republicanism: Immanuel Kant's Philosophy of Freedom Author(S): Heiner Bielefeldt Source: Political Theory, Vol
Autonomy and Republicanism: Immanuel Kant's Philosophy of Freedom Author(s): Heiner Bielefeldt Source: Political Theory, Vol. 25, No. 4 (Aug., 1997), pp. 524-558 Published by: Sage Publications, Inc. Stable URL: http://www.jstor.org/stable/191892 Accessed: 25-05-2018 14:18 UTC REFERENCES Linked references are available on JSTOR for this article: http://www.jstor.org/stable/191892?seq=1&cid=pdf-reference#references_tab_contents You may need to log in to JSTOR to access the linked references. JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://about.jstor.org/terms Sage Publications, Inc. is collaborating with JSTOR to digitize, preserve and extend access to Political Theory This content downloaded from 81.157.207.121 on Fri, 25 May 2018 14:18:33 UTC All use subject to http://about.jstor.org/terms AUTONOMY AND REPUBLICANISM Immanuel Kant's Philosophy of Freedom HEINER BIELEFELDT University of Bielefeld INTRODUCTION: THE PARADOX OF LIBERALISM Since its origins in early modernity, liberalism has always been a hotly debated issue. A charge frequently brought forward is that liberalism mirrors a lack of ethical substance in modern society, a society which seemingly loses its inner normative cohesiveness and hence can be held together only by a set of abstract procedural rules. -
Perception Is Truth
Perception is Truth... WHEN IT COMES TO LEASING AND SHOPPING REPORTS What is the truth? This age old question has some very deep implications that go way beyond the point of this training tip. Yet, the question reminds us that two people can experience the same incident and walk away with completely different perceptions of what actually happened. Sometimes, just like beauty, "truth” is in the eye of the beholder. It is a matter of perception. Shopping report information is a vivid example of the fact that perception is reality. Occasionally, an EPMS shopper remembers a specific leasing presentation somewhat differently than the on-site professional who was shopped and later evaluated in a written format. The shopper reports that the leasing consultant was a bit distracted and indifferent, not very friendly, or “didn’t seem interested in meeting my needs”. Yet, that individual’s supervisor cannot believe that this very friendly and warm staff member could ever come across in any way but delightful, enthusiastic and professional! “Everyone loves her!” the supervisor explains. Sometimes the gap between what the leasing professional believes about her presentation and what the shopper describes comes down to perception. Regardless of what really (or not really!) happened, the perception of the shopper – and that of the typical rental prospect – is the only “truth” that really matters! Leasing is all about perception, isn’t it? Fellow onsite associates may say, “He is the friendliest guy you’ll ever meet! We love him!” But if this “friendliest guy” is perceived as unfriendly, to that prospect he is unfriendly! “You know, Sara is really nice once you get to know her!” This may be “true”; but the reality is the prospect is unlikely to spend enough time “getting to know” Sara to override their initial impression. -
An Introduction to Mathematical Modelling
An Introduction to Mathematical Modelling Glenn Marion, Bioinformatics and Statistics Scotland Given 2008 by Daniel Lawson and Glenn Marion 2008 Contents 1 Introduction 1 1.1 Whatismathematicalmodelling?. .......... 1 1.2 Whatobjectivescanmodellingachieve? . ............ 1 1.3 Classificationsofmodels . ......... 1 1.4 Stagesofmodelling............................... ....... 2 2 Building models 4 2.1 Gettingstarted .................................. ...... 4 2.2 Systemsanalysis ................................. ...... 4 2.2.1 Makingassumptions ............................. .... 4 2.2.2 Flowdiagrams .................................. 6 2.3 Choosingmathematicalequations. ........... 7 2.3.1 Equationsfromtheliterature . ........ 7 2.3.2 Analogiesfromphysics. ...... 8 2.3.3 Dataexploration ............................... .... 8 2.4 Solvingequations................................ ....... 9 2.4.1 Analytically.................................. .... 9 2.4.2 Numerically................................... 10 3 Studying models 12 3.1 Dimensionlessform............................... ....... 12 3.2 Asymptoticbehaviour ............................. ....... 12 3.3 Sensitivityanalysis . ......... 14 3.4 Modellingmodeloutput . ....... 16 4 Testing models 18 4.1 Testingtheassumptions . ........ 18 4.2 Modelstructure.................................. ...... 18 i 4.3 Predictionofpreviouslyunuseddata . ............ 18 4.3.1 Reasonsforpredictionerrors . ........ 20 4.4 Estimatingmodelparameters . ......... 20 4.5 Comparingtwomodelsforthesamesystem . ......... -
Studies on Collingwood, History and Civilization
Studies on Collingwood, History and Civilization Jan van der Dussen Studies on Collingwood, History and Civilization Jan van der Dussen Heerlen , The Netherlands ISBN 978-3-319-20671-4 ISBN 978-3-319-20672-1 (eBook) DOI 10.1007/978-3-319-20672-1 Library of Congress Control Number: 2015951386 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfi lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifi c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www. springer.com) Acknowledgements The following four essays are reproduced from their original publication. -
Perception and Law Enforcement
Perception and Law Enforcement Lt. Norman Hale White County Sheriff Department School of Law Enforcement Supervision Session XXXII Criminal Justice Institute Introduction Since the beginning, perception has been used by everyone. When man first said I am naked, I need clothing. The perception was I am naked. Without understanding why things are the way they appear man was fearful of the world around him. Superstitions overwhelmed man and his thoughts. It was an effort to explain the unexplainable. This is the perception of man and his surroundings. Early man worshiped nature in an attempt to change what was happening. At one time, it was believed that a man lived in the moon. This was based on the face seen on the moon. More resonantly, many believed there was or had been life on Mars, because of a photo taken as a satellite passed Mars showing a face on the surface (face on mars). This raised a large stir among people and the scientific community. It was not until some time later when a new photo was taken by a passing satellite, that the face on Mars proved to be a mountain and the face was formed by shadows cast across the surface of the mountain (face on mars). The attempt to understand how things are perceived goes back before the Egyptians were building pyramids. Modern man has devoted an extensive amount of time to studying perception and how it affects man. As the understanding of perception increases, the mystery that caused many superstitions is solved and man is no longer fearful. -
Clustering and Classification of Multivariate Stochastic Time Series
Clemson University TigerPrints All Dissertations Dissertations 5-2012 Clustering and Classification of Multivariate Stochastic Time Series in the Time and Frequency Domains Ryan Schkoda Clemson University, [email protected] Follow this and additional works at: https://tigerprints.clemson.edu/all_dissertations Part of the Mechanical Engineering Commons Recommended Citation Schkoda, Ryan, "Clustering and Classification of Multivariate Stochastic Time Series in the Time and Frequency Domains" (2012). All Dissertations. 907. https://tigerprints.clemson.edu/all_dissertations/907 This Dissertation is brought to you for free and open access by the Dissertations at TigerPrints. It has been accepted for inclusion in All Dissertations by an authorized administrator of TigerPrints. For more information, please contact [email protected]. Clustering and Classification of Multivariate Stochastic Time Series in the Time and Frequency Domains A Dissertation Presented to the Graduate School of Clemson University In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Mechanical Engineering by Ryan F. Schkoda May 2012 Accepted by: Dr. John Wagner, Committee Chair Dr. Robert Lund Dr. Ardalan Vahidi Dr. Darren Dawson Abstract The dissertation primarily investigates the characterization and discrimina- tion of stochastic time series with an application to pattern recognition and fault detection. These techniques supplement traditional methodologies that make overly restrictive assumptions about the nature of a signal by accommodating stochastic behavior. The assumption that the signal under investigation is either deterministic or a deterministic signal polluted with white noise excludes an entire class of signals { stochastic time series. The research is concerned with this class of signals almost exclusively. The investigation considers signals in both the time and the frequency domains and makes use of both model-based and model-free techniques. -
Random Matrix Eigenvalue Problems in Structural Dynamics: an Iterative Approach S
Mechanical Systems and Signal Processing 164 (2022) 108260 Contents lists available at ScienceDirect Mechanical Systems and Signal Processing journal homepage: www.elsevier.com/locate/ymssp Random matrix eigenvalue problems in structural dynamics: An iterative approach S. Adhikari a,<, S. Chakraborty b a The Future Manufacturing Research Institute, Swansea University, Swansea SA1 8EN, UK b Department of Applied Mechanics, Indian Institute of Technology Delhi, India ARTICLEINFO ABSTRACT Communicated by J.E. Mottershead Uncertainties need to be taken into account in the dynamic analysis of complex structures. This is because in some cases uncertainties can have a significant impact on the dynamic response Keywords: and ignoring it can lead to unsafe design. For complex systems with uncertainties, the dynamic Random eigenvalue problem response is characterised by the eigenvalues and eigenvectors of the underlying generalised Iterative methods Galerkin projection matrix eigenvalue problem. This paper aims at developing computationally efficient methods for Statistical distributions random eigenvalue problems arising in the dynamics of multi-degree-of-freedom systems. There Stochastic systems are efficient methods available in the literature for obtaining eigenvalues of random dynamical systems. However, the computation of eigenvectors remains challenging due to the presence of a large number of random variables within a single eigenvector. To address this problem, we project the random eigenvectors on the basis spanned by the underlying deterministic eigenvectors and apply a Galerkin formulation to obtain the unknown coefficients. The overall approach is simplified using an iterative technique. Two numerical examples are provided to illustrate the proposed method. Full-scale Monte Carlo simulations are used to validate the new results. -
Existentialism
TOPIC FOR- SEM- III ( PHIL-CC 10) CONTEMPORARY WESTERN PHILOSOPHY BY- DR. VIJETA SINGH ASSISTANT PROFESSOR P.G. DEPARTMENT OF PHILOSOPHY PATNA UNIVERSITY Existentialism Existentialism is a philosophy that emphasizes individual existence, freedom and choice. It is the view that humans define their own meaning in life, and try to make rational decisions despite existing in an irrational universe. This philosophical theory propounds that people are free agents who have control over their choices and actions. Existentialists believe that society should not restrict an individual's life or actions and that these restrictions inhibit free will and the development of that person's potential. History 1 Existentialism originated with the 19th Century philosopher Soren Kierkegaard and Friedrich Nietzsche, but they did not use the term (existentialism) in their work. In the 1940s and 1950s, French existentialists such as Jean- Paul Sartre , Albert Camus and Simone de Beauvoir wrote scholarly and fictional works that popularized existential themes, such as dread, boredom, alienation, the absurd, freedom, commitment and nothingness. The first existentialist philosopher who adopted the term as a self-description was Sartre. Existentialism as a distinct philosophical and literary movement belongs to the 19th and 20th centuries, but elements of existentialism can be found in the thought (and life) of Socrates, in the Bible, and in the work of many pre-modern philosophers and writers. Noted Existentialists: Soren Kierkegaard (1813-1855) Nationality Denmark Friedrich Nietzsche(1844-1900) Nationality Germany Paul Tillich(1886-1965) Nati…United States, Germany Martin Heidegger ( 1889-1976) Nati…Germany Simone de Beauvior(1908-1986) Nati…France Albert Camus (1913-1960) Nati….France Jean Paul Sartre (1905-1980) Nati….France 2 What does it mean to exist ? To have reason. -
SPINOZA's ETHICS: FREEDOM and DETERMINISM by Alfredo Lucero
SPINOZA’S ETHICS: FREEDOM AND DETERMINISM by Alfredo Lucero-Montaño 1. What remains alive of a philosopher's thought are the realities that concern him, the problems that he addresses, as well as the questions that he poses. The breath and depth of a philosopher's thought is what continues to excite and incite today. However, his answers are limited to his time and circumstances, and these are subject to the historical evolution of thought, yet his principal commitments are based on the problems and questions with which he is concerned. And this is what resounds of a philosopher's thought, which we can theoretically and practically adopt and adapt. Spinoza is immersed in a time of reforms, and he is a revolutionary and a reformer himself. The reforming trend in modern philosophy is expressed in an eminent way by Descartes' philosophy. Descartes, the great restorer of science and metaphysics, had left unfinished the task of a new foundation of ethics. Spinoza was thus faced with this enterprise. But he couldn't carry it out without the conviction of the importance of the ethical problems or that ethics is involved in a fundamental aspect of existence: the moral destiny of man. Spinoza's Ethics[1] is based on a theory of man or, more precisely, on an ontology of man. Ethics is, for him, ontology. He does not approach the problems of morality — the nature of good and evil, why and wherefore of human life — if it is not on the basis of a conception of man's being-in-itself, to wit, that the moral existence of man can only be explained by its own condition. -
Arxiv:2103.07954V1 [Math.PR] 14 Mar 2021 Suppose We Ask a Randomly Chosen Person Two Questions
Contents, Contexts, and Basics of Contextuality Ehtibar N. Dzhafarov Purdue University Abstract This is a non-technical introduction into theory of contextuality. More precisely, it presents the basics of a theory of contextuality called Contextuality-by-Default (CbD). One of the main tenets of CbD is that the identity of a random variable is determined not only by its content (that which is measured or responded to) but also by contexts, systematically recorded condi- tions under which the variable is observed; and the variables in different contexts possess no joint distributions. I explain why this principle has no paradoxical consequences, and why it does not support the holistic “everything depends on everything else” view. Contextuality is defined as the difference between two differences: (1) the difference between content-sharing random variables when taken in isolation, and (2) the difference between the same random variables when taken within their contexts. Contextuality thus defined is a special form of context-dependence rather than a synonym for the latter. The theory applies to any empir- ical situation describable in terms of random variables. Deterministic situations are trivially noncontextual in CbD, but some of them can be described by systems of epistemic random variables, in which random variability is replaced with epistemic uncertainty. Mathematically, such systems are treated as if they were ordinary systems of random variables. 1 Contents, contexts, and random variables The word contextuality is used widely, usually as a synonym of context-dependence. Here, however, contextuality is taken to mean a special form of context-dependence, as explained below. Histori- cally, this notion is derived from two independent lines of research: in quantum physics, from studies of existence or nonexistence of the so-called hidden variable models with context-independent map- ping [1–10],1 and in psychology, from studies of the so-called selective influences [11–18]. -
Perceptual Causality, Counterfactuals, and Special Causal Concepts
OUP CORRECTED PROOF – FINAL, 19/10/2011, SPi 3 Perceptual Causality, Counterfactuals, and Special Causal Concepts Johannes Roessler On one view, an adequate account of causal understanding may focus exclusively on what is involved in mastering general causal concepts (concepts such as ‘x causes y’ or ‘p causally explains q’). An alternative view is that causal understanding is, partly but irreducibly, a matter of grasping what Anscombe called special causal concepts, con- cepts such as ‘push’, ‘flatten’,or‘knock over’. We can label these views generalist vs particularist approaches to causal understanding. It is worth emphasizing that the contrast here is not between two kinds of theories of the metaphysics of causation, but two views of the nature and perhaps source of ordinary causal understanding. One aim of this paper is to argue that it would be a mistake to dismiss particularism because of its putative metaphysical commitments. I begin by formulating an intuitively attractive version of particularism due to P.F. Strawson, a central element of which is what I will call na¨ıve realism concerning mechanical transactions. I will then present the account with two challenges. Both challenges reflect the worry that Strawson’s particularism may be unable to acknowledge the intimate connection between causa- tion and counterfactuals, as articulated by the interventionist approach to causation. My project will be to allay these concerns, or at least to explore how this might be done. My (tentative) conclusion will be that Strawson’sna¨ıve realism can accept what interventionism has to say about ordinary causal understanding, and that intervention- ism should not be seen as being committed to generalism. -
Unity of Mind, Temporal Awareness, and Personal Identity
UNIVERSITY OF CALIFORNIA, IRVINE THE LEGACY OF HUMEANISM: UNITY OF MIND, TEMPORAL AWARENESS, AND PERSONAL IDENTITY DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Philosophy by Daniel R. Siakel Dissertation Committee: Professor David Woodruff Smith, Chair Professor Sven Bernecker Associate Professor Marcello Oreste Fiocco Associate Professor Clinton Tolley 2016 © 2016 Daniel R. Siakel DEDICATION To My mother, Anna My father, Jim Life’s original, enduring constellation. And My “doctor father,” David Who sees. “We think that we can prove ourselves to ourselves. The truth is that we cannot say that we are one entity, one existence. Our individuality is really a heap or pile of experiences. We are made out of experiences of achievement, disappointment, hope, fear, and millions and billions and trillions of other things. All these little fragments put together are what we call our self and our life. Our pride of self-existence or sense of being is by no means one entity. It is a heap, a pile of stuff. It has some similarities to a pile of garbage.” “It’s not that everything is one. Everything is zero.” Chögyam Trungpa Rinpoche “Galaxies of Stars, Grains of Sand” “Rhinoceros and Parrot” ii TABLE OF CONTENTS Page ACKNOWLEDGMENTS v CURRICULUM VITAE vi ABSTRACT OF THE DISSERTATION xii INTRODUCTION 1 CHAPTER I: Hume’s Appendix Problem and Associative Connections in the Treatise and Enquiry §1. General Introduction to Hume’s Science of Human Nature 6 §2. Introducing Hume’s Appendix Problem 8 §3. Contextualizing Hume’s Appendix Problem 15 §4.