PSEUDOSCIENCE Popper and the Demarcation Problem
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John Locke's Historical Method
RUCH FILOZOFICZNY LXXV 2019 4 Zbigniew Pietrzak University of Wrocław, Wrocław, Poland ORCID: 0000-0003-2458-1252 e-mail: [email protected] John Locke’s Historical Method and “Natural Histories” in Modern Natural Sciences DOI: http://dx.doi.org/10.12775/RF.2019.038 Introduction Among the many fundamental issues that helped shape the philosophy of the seventeenth and eighteenth centuries, one concerned the condi- tion of philosophy and scientific knowledge, and in the area of our inter- est – knowledge about nature.1 These philosophical inquiries included both subject-related problems concerning human cognitive abilities and object-related ones indicating possible epistemological boundaries that nature itself could have generated. Thus, already at the turn of the sixteenth and seventeenth centuries, from Francis Bacon, Galileo, and 1 These reflections are an elaboration on the topic I mentioned in the article “His- toria naturalna a wiedza o naturze” [“Natural History vs. Knowledge of Nature”], in: Rozum, człowiek, historia, [Mind, Man, History], ed. Jakub Szczepański (Cracow: Wydawnictwo Uniwersytetu Jagiellońskiego, 2018); as well as in my master’s thesis: The Crisis of Cognition, the Crisis of Philosophy (not published). It is also a debate over the content of Adam Grzeliński’s article entitled “‘Rozważania dotyczące rozu- mu ludzkiego’ Johna Locke’a: teoria poznania i historia” [“John Locke’s ‘An essay on human understanding’: cognition theory and history”], in: Rozum, człowiek, historia, ed. Jakub Szczepański, (Cracow: Wydawnictwo Uniwersytetu Jagiellońskiego, 2018), as well as some of the themes of the author’s monograph Doświadczenie i rozum. Empiryzm Johna Locke’a [Experience and reason. The empiricism of John Locke] (To- ruń: Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika, 2019). -
Would ''Direct Realism'' Resolve the Classical Problem of Induction?
NOU^S 38:2 (2004) 197–232 Would ‘‘Direct Realism’’ Resolve the Classical Problem of Induction? MARC LANGE University of North Carolina at Chapel Hill I Recently, there has been a modest resurgence of interest in the ‘‘Humean’’ problem of induction. For several decades following the recognized failure of Strawsonian ‘‘ordinary-language’’ dissolutions and of Wesley Salmon’s elaboration of Reichenbach’s pragmatic vindication of induction, work on the problem of induction languished. Attention turned instead toward con- firmation theory, as philosophers sensibly tried to understand precisely what it is that a justification of induction should aim to justify. Now, however, in light of Bayesian confirmation theory and other developments in epistemology, several philosophers have begun to reconsider the classical problem of induction. In section 2, I shall review a few of these developments. Though some of them will turn out to be unilluminating, others will profitably suggest that we not meet inductive scepticism by trying to justify some alleged general principle of ampliative reasoning. Accordingly, in section 3, I shall examine how the problem of induction arises in the context of one particular ‘‘inductive leap’’: the confirmation, most famously by Henrietta Leavitt and Harlow Shapley about a century ago, that a period-luminosity relation governs all Cepheid variable stars. This is a good example for the inductive sceptic’s purposes, since it is difficult to see how the sparse background knowledge available at the time could have entitled stellar astronomers to regard their observations as justifying this grand inductive generalization. I shall argue that the observation reports that confirmed the Cepheid period- luminosity law were themselves ‘‘thick’’ with expectations regarding as yet unknown laws of nature. -
ATINER's Conference Paper Series PHI2012-0090 Demarcation
ATINER CONFERENCE PAPER SERIES No: PHI2012-0090 Athens Institute for Education and Research ATINER ATINER's Conference Paper Series PHI2012-0090 Demarcation, Definition, Art Thomas Adajian Assistant Professor of Philosophy James Madison University USA 1 ATINER CONFERENCE PAPER SERIES No: PHI2012-0090 Athens Institute for Education and Research 8 Valaoritou Street, Kolonaki, 10671 Athens, Greece Tel: + 30 210 3634210 Fax: + 30 210 3634209 Email: [email protected] URL: www.atiner.gr URL Conference Papers Series: www.atiner.gr/papers.htm Printed in Athens, Greece by the Athens Institute for Education and Research. All rights reserved. Reproduction is allowed for non-commercial purposes if the source is fully acknowledged. ISSN 2241-2891 4/09/2012 2 ATINER CONFERENCE PAPER SERIES No: PHI2012-0090 An Introduction to ATINER's Conference Paper Series ATINER started to publish this conference papers series in 2012. It includes only the papers submitted for publication after they were presented at one of the conferences organized by our Institute every year. The papers published in the series have not been refereed and are published as they were submitted by the author. The series serves two purposes. First, we want to disseminate the information as fast as possible. Second, by doing so, the authors can receive comments useful to revise their papers before they are considered for publication in one of ATINER's books, following our standard procedures of a blind review. Dr. Gregory T. Papanikos President Athens Institute for Education and Research 3 ATINER CONFERENCE PAPER SERIES No: PHI2012-0090 This paper should be cited as follows: Adajian, T. -
A Philosophical Treatise on the Connection of Scientific Reasoning
mathematics Review A Philosophical Treatise on the Connection of Scientific Reasoning with Fuzzy Logic Evangelos Athanassopoulos 1 and Michael Gr. Voskoglou 2,* 1 Independent Researcher, Giannakopoulou 39, 27300 Gastouni, Greece; [email protected] 2 Department of Applied Mathematics, Graduate Technological Educational Institute of Western Greece, 22334 Patras, Greece * Correspondence: [email protected] Received: 4 May 2020; Accepted: 19 May 2020; Published:1 June 2020 Abstract: The present article studies the connection of scientific reasoning with fuzzy logic. Induction and deduction are the two main types of human reasoning. Although deduction is the basis of the scientific method, almost all the scientific progress (with pure mathematics being probably the unique exception) has its roots to inductive reasoning. Fuzzy logic gives to the disdainful by the classical/bivalent logic induction its proper place and importance as a fundamental component of the scientific reasoning. The error of induction is transferred to deductive reasoning through its premises. Consequently, although deduction is always a valid process, it is not an infallible method. Thus, there is a need of quantifying the degree of truth not only of the inductive, but also of the deductive arguments. In the former case, probability and statistics and of course fuzzy logic in cases of imprecision are the tools available for this purpose. In the latter case, the Bayesian probabilities play a dominant role. As many specialists argue nowadays, the whole science could be viewed as a Bayesian process. A timely example, concerning the validity of the viruses’ tests, is presented, illustrating the importance of the Bayesian processes for scientific reasoning. -
Comment Fundamentalism and Science
SISSA – International School for Advanced Studies Journal of Science Communication ISSN 1824 – 2049 http://jcom.sissa.it/ Comment Fundamentalism and science Massimo Pigliucci The many facets of fundamentalism. There has been much talk about fundamentalism of late. While most people's thought on the topic go to the 9/11 attacks against the United States, or to the ongoing war in Iraq, fundamentalism is affecting science and its relationship to society in a way that may have dire long-term consequences. Of course, religious fundamentalism has always had a history of antagonism with science, and – before the birth of modern science – with philosophy, the age-old vehicle of the human attempt to exercise critical thinking and rationality to solve problems and pursue knowledge. “Fundamentalism” is defined by the Oxford Dictionary of the Social Sciences 1 as “A movement that asserts the primacy of religious values in social and political life and calls for a return to a 'fundamental' or pure form of religion.” In its broadest sense, however, fundamentalism is a form of ideological intransigence which is not limited to religion, but includes political positions as well (for example, in the case of some extreme forms of “environmentalism”). In the United States, the main version of the modern conflict between science and religious fundamentalism is epitomized by the infamous Scopes trial that occurred in 1925 in Tennessee, when the teaching of evolution was challenged for the first time 2,3. That battle is still being fought, for example in Dover, Pennsylvania, where at the time of this writing a court of law is considering the legitimacy of teaching “intelligent design” (a form of creationism) in public schools. -
A Natural Case for Realism: Processes, Structures, and Laws Andrew Michael Winters University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School 3-20-2015 A Natural Case for Realism: Processes, Structures, and Laws Andrew Michael Winters University of South Florida, [email protected] Follow this and additional works at: https://scholarcommons.usf.edu/etd Part of the Philosophy of Science Commons Scholar Commons Citation Winters, Andrew Michael, "A Natural Case for Realism: Processes, Structures, and Laws" (2015). Graduate Theses and Dissertations. https://scholarcommons.usf.edu/etd/5603 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. A Natural Case for Realism: Processes, Structures, and Laws by Andrew Michael Winters A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Philosophy College of Arts and Sciences University of South Florida Co-Major Professor: Douglas Jesseph, Ph.D. Co-Major Professor: Alexander Levine, Ph.D. Roger Ariew, Ph.D. Otávio Bueno, Ph.D. John Carroll, Ph.D. Eric Winsberg, Ph.D. Date of Approval: March 20th, 2015 Keywords: Metaphysics, Epistemology, Naturalism, Ontology Copyright © 2015, Andrew Michael Winters DEDICATION For Amie ACKNOWLEDGMENTS Thank you to my co-chairs, Doug Jesseph and Alex Levine, for providing amazing support in all aspects of my tenure at USF. I greatly appreciate the numerous conversations with my committee members, Roger Ariew, Otávio Bueno, John Carroll, and Eric Winsberg, which resulted in a (hopefully) more refined and clearer dissertation. -
Urban Myths Mythical Cryptids
Ziptales Advanced Library Worksheet 2 Urban Myths Mythical Cryptids ‘What is a myth? It is a story that pretends to be real, but is in fact unbelievable. Like many urban myths it has been passed around (usually by word of mouth), acquiring variations and embellishments as it goes. It is a close cousin of the tall tale. There are mythical stories about almost any aspect of life’. What do we get when urban myths meet the animal kingdom? We find a branch of pseudoscience called cryptozoology. Cryptozoology refers to the study of and search for creatures whose existence has not been proven. These creatures (or crytpids as they are known) appear in myths and legends or alleged sightings. Some examples include: sea serpents, phantom cats, unicorns, bunyips, giant anacondas, yowies and thunderbirds. Some have even been given actual names you may have heard of – do Yeti, Owlman, Mothman, Cyclops, Bigfoot and the Loch Ness Monster sound familiar? Task 1: Choose one of the cryptids from the list above (or perhaps one that you may already know of) and write an informative text identifying the following aspects of this mythical creature: ◊ Description ◊ Features ◊ Location ◊ First Sighting ◊ Subsequent Sightings ◊ Interesting Facts (e.g. how is it used in popular culture? Has it been featured in written or visual texts?) Task 2: Cryptozoologists claim there have been cases where species now accepted by the scientific community were initially considered urban myths. Can you locate any examples of creatures whose existence has now been proven but formerly thought to be cryptids? Extension Activities: • Cryptozoology is called a ‘pseudoscience’ because it relies solely on anecdotes and reported sightings rather than actual evidence. -
The Demarcation Problem
Part I The Demarcation Problem 25 Chapter 1 Popper’s Falsifiability Criterion 1.1 Popper’s Falsifiability Popper’s Problem : To distinguish between science and pseudo-science (astronomy vs astrology) - Important distinction: truth is not the issue – some theories are sci- entific and false, and some may be unscientific but true. - Traditional but unsatisfactory answers: empirical method - Popper’s targets: Marx, Freud, Adler Popper’s thesis : Falsifiability – the theory contains claims which could be proved to be false. Characteristics of Pseudo-Science : unfalsifiable - Any phenomenon can be interpreted in terms of the pseudo-scientific theory “Whatever happened always confirmed it” (5) - Example: man drowning vs saving a child Characteristics of Science : falsifiability - A scientific theory is always takes risks concerning the empirical ob- servations. It contains the possibility of being falsified. There is con- firmation only when there is failure to refute. 27 28 CHAPTER 1. POPPER’S FALSIFIABILITY CRITERION “The theory is incompatible with certain possible results of observation” (6) - Example: Einstein 1919 1.2 Kuhn’s criticism of Popper Kuhn’s Criticism of Popper : Popper’s falsifiability criterion fails to char- acterize science as it is actually practiced. His criticism at best applies to revolutionary periods of the history of science. Another criterion must be given for normal science. Kuhn’s argument : - Kuhn’s distinction between normal science and revolutionary science - A lesson from the history of science: most science is normal science. Accordingly, philosophy of science should focus on normal science. And any satisfactory demarcation criterion must apply to normal science. - Popper’s falsifiability criterion at best only applies to revolutionary science, not to normal science. -
Mill's Conversion: the Herschel Connection
volume 18, no. 23 Introduction november 2018 John Stuart Mill’s A System of Logic, Ratiocinative and Inductive, being a connected view of the principles of evidence, and the methods of scientific investigation was the most popular and influential treatment of sci- entific method throughout the second half of the 19th century. As is well-known, there was a radical change in the view of probability en- dorsed between the first and second editions. There are three differ- Mill’s Conversion: ent conceptions of probability interacting throughout the history of probability: (1) Chance, or Propensity — for example, the bias of a bi- The Herschel Connection ased coin. (2) Judgmental Degree of Belief — for example, the de- gree of belief one should have that the bias is between .6 and .7 after 100 trials that produce 81 heads. (3) Long-Run Relative Frequency — for example, propor- tion of heads in a very large, or even infinite, number of flips of a given coin. It has been a matter of controversy, and continues to be to this day, which conceptions are basic. Strong advocates of one kind of prob- ability may deny that the others are important, or even that they make Brian Skyrms sense at all. University of California, Irvine, and Stanford University In the first edition of 1843, Mill espouses a frequency view of prob- ability that aligns well with his general material view of logic: Conclusions respecting the probability of a fact rest, not upon a different, but upon the very same basis, as conclu- sions respecting its certainly; namely, not our ignorance, © 2018 Brian Skyrms but our knowledge: knowledge obtained by experience, This work is licensed under a Creative Commons of the proportion between the cases in which the fact oc- Attribution-NonCommercial-NoDerivatives 3.0 License. -
Machine Learning in Scientometrics
DEPARTAMENTO DE INTELIGENCIA ARTIFICIAL Escuela Tecnica´ Superior de Ingenieros Informaticos´ Universidad Politecnica´ de Madrid PhD THESIS Machine Learning in Scientometrics Author Alfonso Iba´nez˜ MS Computer Science MS Artificial Intelligence PhD supervisors Concha Bielza PhD Computer Science Pedro Larranaga˜ PhD Computer Science 2015 Thesis Committee President: C´esarHerv´as Member: Jos´eRam´onDorronsoro Member: Enrique Herrera Member: Irene Rodr´ıguez Secretary: Florian Leitner There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Acknowledgements Ph.D. research often appears a solitary undertaking. However, it is impossible to maintain the degree of focus and dedication required for its completion without the help and support of many people. It has been a difficult long journey to finish my Ph.D. research and it is of justice to cite here all of them. First and foremost, I would like to thank Concha Bielza and Pedro Larra~nagafor being my supervisors and mentors. Without your unfailing support, recommendations and patient, this thesis would not have been the same. You have been role models who not only guided my research but also demonstrated your enthusiastic research attitudes. I owe you so much. Whatever research path I do take, I will be prepared because of you. I would also like to express my thanks to all my friends and colleagues at the Computa- tional Intelligence Group who provided me with not only an excellent working atmosphere and stimulating discussions but also friendships, care and assistance when I needed. My special thank-you goes to Rub´enArma~nanzas,Roberto Santana, Diego Vidaurre, Hanen Borchani, Pedro L. -
Application of Fuzzy Query Based on Relation Database Dongmei Wei Liangzhong Yi Zheng Pei
Application of Fuzzy Query Based on Relation Database Dongmei Wei Liangzhong Yi Zheng Pei School of Mathematics & Computer Engineering, Xihua University, Chengdu 610039, China Abstract SELECT <list of ¯elds> FROM <list of tables> ; The traditional query in relation database is unable WHERE <attribute> in <multi-valued attribute> to satisfy the needs for dealing with fuzzy linguis- tic values. In this paper, a new data query tech- SELECT <list of ¯elds> FROM <list of tables>; nique combined fuzzy theory and SQL is provided, WHERE NOT <condition> and the query can be implemented for fuzzy linguis- tic values query via a interface to Microsoft Visual SELECT <list of ¯elds> FROM <list of tables>; Foxpro. Here, we applied it to an realism instance, WHERE <subcondition> AND <subcondition> questions could be expressed by fuzzy linguistic val- ues such as young, high salary, etc, in Employee SELECT <list of ¯elds> FROM <list of tables>; relation database. This could be widely used to WHERE <subcondition> OR <subcondition> realize the other fuzzy query based on database. However, the Complexity is limited in precise data processing and is unable to directly express Keywords: Fuzzy query, Relation database, Fuzzy fuzzy concepts of natural language. For instance, theory, SQL, Microsoft visual foxpro in employees relation database, to deal with a query statement like "younger, well quali¯ed or better 1. Introduction performance ", it is di±cult to construct SQL be- cause the query words are fuzzy expressions. In Database management systems(DBMS) are ex- order to obtain query results, there are two basic tremely useful software products which have been methods of research in the use of SQL Combined used in many kinds of systems [1]-[3]. -
”What Is It Like to Be a Robot?” Review of David Mcfarland's Guilty Robots, Happy Dogs
:KDW,V,W/LNHWR%HD5RERW" *XLOW\5RERWV+DSS\'RJV7KH4XHVWLRQRI$OLHQ0LQGVE\'DYLG0F)DUODQG 5HYLHZE\'DQLHO&'HQQHWW %LR6FLHQFH9RO1R 6HSWHPEHU SS 3XEOLVKHGE\University of California PressRQEHKDOIRIWKHAmerican Institute of Biological Sciences 6WDEOH85/http://www.jstor.org/stable/10.1525/bio.2009.59.8.14 . $FFHVVHG Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp 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]. University of California Press and American Institute of Biological Sciences are collaborating with JSTOR to digitize, preserve and extend access to BioScience. http://www.jstor.org Fall Focus on Books learn to appreciate some of the advances respect, that they go back to Harvard out the terrain using what you already and controversies in evolutionary de- Press and propose to use the current know to interpret what you find. For- velopmental biology while reading Greg version of their book as the seed for a tunately, David McFarland has chosen Wray. Then again, there is no essay on community-wide, online, open-ended the second option in Guilty Robots, the role of phenotypic plasticity in evo- effort. Of course, it would also be nice if Happy Dogs: The Question of Alien lution, a topic that has acquired central it were open access, but that’s another Minds, and there is much food for status during the past two decades; after story.