Why Advocate Pancritical Rationalism?
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Truth, Rationality, and the Growth of Scientific Knowledge
....... CONJECTURES sense similar to that in which processes or things may be said to be parts of the world; that the world consists of facts in a sense in which it may be said to consist of (four dimensional) processes or of (three dimensional) things. They believe that, just as certain nouns are names of things, sentences are names of facts. And they sometimes even believe that sentences are some- thing like pictures of facts, or that they are projections of facts.7 But all this is mistaken. The fact that there is no elephant in this room is not one of the processes or parts ofthe world; nor is the fact that a hailstorm in Newfound- 10 land occurred exactIy I I I years after a tree collapsed in the New Zealand bush. Facts are something like a common product oflanguage and reality; they are reality pinned down by descriptive statements. They are like abstracts from TRUTH, RATIONALITY, AND THE a book, made in a language which is different from that of the original, and determined not only by the original book but nearly as much by the principles GROWTH OF SCIENTIFIC KNOWLEDGE of selection and by other methods of abstracting, and by the means of which the new language disposes. New linguistic means not only help us to describe 1. THE GROWTH OF KNOWLEDGE: THEORIES AND PROBLEMS new kinds of facts; in a way, they even create new kinds of facts. In a certain sense, these facts obviously existed before the new means were created which I were indispensable for their description; I say, 'obviously' because a calcula- tion, for example, ofthe movements of the planet Mercury of 100 years ago, MY aim in this lecture is to stress the significance of one particular aspect of carried out today with the help of the calculus of the theory of relativity, may science-its need to grow, or, if you like, its need to progress. -
Study Questions Philosophy of Science Spring 2011 Exam 1
Study Questions Philosophy of Science Spring 2011 Exam 1 1. Explain the affinities and contrasts between science and philosophy and between science and metaphysics. 2. What is the principle of verification? How was the logical positivist‟s view of verification influenced by Hume‟s fork? Explain. 3. Explain Hume‟s distinction between impressions and ideas. What is the relevance of this distinction for the empiricist‟s view of how knowledge is acquired? 4. Why was Hume skeptical about “metaphysical knowledge”? Does the logical positivist, such as A. J. Ayer, agree or disagree? Why or why not? 5. Explain Ayer‟s distinction between weak and strong verification. Is this distinction tenable? 6. How did Rudolf Carnap attempt to separate science from metaphysics? Explain the role of what Carnap called „C-Rules‟ for this attempt. Was he successful? 7. Explain one criticism of the logical positivist‟s principle of verification? Do you agree or disagree? Why or why not? 8. Explain the affinities and contrasts between A. J. Ayer‟s logical positivism and Karl Popper‟s criterion of falsifiability. Why does Popper think that scientific progress depends on falsifiability rather than verifiability? What are Popper‟s arguments against verifiability? Do you think Popper is correct? 9. Kuhn argued that Popper neglected what Kuhn calls “normal science.” Does Popper have a reply to Kuhn in his distinction between science and ideology? Explain. 10. Is Popper‟s criterion of falsifiability a solution to the problem of demarcation? Why or why not? Why would Gierre or Kuhn disagree? Explain 11. Kuhn, in his “Logic of Discovery or Psychology of Research?” disagrees with Popper‟s criterion of falsifiability as defining the essence of science. -
Machine Guessing – I
Machine Guessing { I David Miller Department of Philosophy University of Warwick COVENTRY CV4 7AL UK e-mail: [email protected] ⃝c copyright D. W. Miller 2011{2018 Abstract According to Karl Popper, the evolution of science, logically, methodologically, and even psy- chologically, is an involved interplay of acute conjectures and blunt refutations. Like biological evolution, it is an endless round of blind variation and selective retention. But unlike biological evolution, it incorporates, at the stage of selection, the use of reason. Part I of this two-part paper begins by repudiating the common beliefs that Hume's problem of induction, which com- pellingly confutes the thesis that science is rational in the way that most people think that it is rational, can be solved by assuming that science is rational, or by assuming that Hume was irrational (that is, by ignoring his argument). The problem of induction can be solved only by a non-authoritarian theory of rationality. It is shown also that because hypotheses cannot be distilled directly from experience, all knowledge is eventually dependent on blind conjecture, and therefore itself conjectural. In particular, the use of rules of inference, or of good or bad rules for generating conjectures, is conjectural. Part II of the paper expounds a form of Popper's critical rationalism that locates the rationality of science entirely in the deductive processes by which conjectures are criticized and improved. But extreme forms of deductivism are rejected. The paper concludes with a sharp dismissal of the view that work in artificial intelligence, including the JSM method cultivated extensively by Victor Finn, does anything to upset critical rationalism. -
Understanding the Progress of Science
Understanding the Progress of Science C. D. McCoy 30 May 2018 The central problem of epistemology has always been and still is the problem of the growth of knowledge. And the growth of knowledge can be studied best by studying the growth of scientific knowledge. —(Popper, 2002b, xix) Merely fact-minded sciences make merely fact-minded people. —(Husserl, 1970, 6) The growth of human knowledge is realized most dramatically in the growth of scientific knowledge. What we have come to know through science about the workings of our human bodies and the workings of heavenly bodies, among much else, astounds, especially in comparison to our accumulating knowledge of the commonplace and everyday. Impressed by the evident epistemic progress made by science, many philosophers during the 20th century thought that studying how scientific knowledge increases is a crucial task of epistemological inquiry, and, indeed, the progress of science has been a topic of considerable interest. Yet, eventually, late in the century, attention waned and for the most part shifted to other tasks. Recently, however, a provocative article by Bird has re-ignited philosophical interest in the topic of scientific progress (Bird, 2007). Bird criticizes what he takes to have been the most prominent accounts advanced in the 20th century and presses for what he views as a venerable but lately overlooked one. He claims that realist philosophers of science have often presumed that truth is the goal of science and progress to be properly characterized by an accu- mulation of truth or truths, and notes that anti-realists have often rejected truth as a goal of science and characterized progress in terms of, among other things, “problem-solving effectiveness.”1 He criticizes the former for overlooking the relevance of justification to progress and the latter for giving up on truth. -
The P–T Probability Framework for Semantic Communication, Falsification, Confirmation, and Bayesian Reasoning
philosophies Article The P–T Probability Framework for Semantic Communication, Falsification, Confirmation, and Bayesian Reasoning Chenguang Lu School of Computer Engineering and Applied Mathematics, Changsha University, Changsha 410003, China; [email protected] Received: 8 July 2020; Accepted: 16 September 2020; Published: 2 October 2020 Abstract: Many researchers want to unify probability and logic by defining logical probability or probabilistic logic reasonably. This paper tries to unify statistics and logic so that we can use both statistical probability and logical probability at the same time. For this purpose, this paper proposes the P–T probability framework, which is assembled with Shannon’s statistical probability framework for communication, Kolmogorov’s probability axioms for logical probability, and Zadeh’s membership functions used as truth functions. Two kinds of probabilities are connected by an extended Bayes’ theorem, with which we can convert a likelihood function and a truth function from one to another. Hence, we can train truth functions (in logic) by sampling distributions (in statistics). This probability framework was developed in the author’s long-term studies on semantic information, statistical learning, and color vision. This paper first proposes the P–T probability framework and explains different probabilities in it by its applications to semantic information theory. Then, this framework and the semantic information methods are applied to statistical learning, statistical mechanics, hypothesis evaluation (including falsification), confirmation, and Bayesian reasoning. Theoretical applications illustrate the reasonability and practicability of this framework. This framework is helpful for interpretable AI. To interpret neural networks, we need further study. Keywords: statistical probability; logical probability; semantic information; rate-distortion; Boltzmann distribution; falsification; verisimilitude; confirmation measure; Raven Paradox; Bayesian reasoning 1. -
Degrees of Riskiness, Falsifiability, and Truthlikeness. a Neo-Popperian
Degrees of riskiness, falsifiability, and truthlikeness. A neo-Popperian account applicable to probabilistic theories. Leander Vignero Sylvia Wenmackers [email protected] [email protected] KU Leuven, Institute of Philosophy, Centre for Logic and Philosophy of Science, Kardinaal Mercierplein 2 { bus 3200, 3000 Leuven, Belgium. July 7, 2021 (Forthcoming in Synthese.) Abstract In this paper, we take a fresh look at three Popperian concepts: riskiness, falsifiability, and truthlikeness (or verisimilitude) of scien- tific hypotheses or theories. First, we make explicit the dimensions that underlie the notion of riskiness. Secondly, we examine if and how degrees of falsifiability can be defined, and how they are related to var- ious dimensions of the concept of riskiness as well as the experimental context. Thirdly, we consider the relation of riskiness to (expected degrees of) truthlikeness. Throughout, we pay special attention to probabilistic theories and we offer a tentative, quantitative account of verisimilitude for probabilistic theories. \Modern logic, as I hope is now evident, has the effect of enlarging our abstract imagination, and providing an infinite number of possible hypotheses to be applied in the analysis of any complex fact." { Russell (1914, p. 58). A theory is falsifiable if it allows us to deduce predictions that can be compared to evidence, which according to our background knowledge could arXiv:2107.03772v1 [physics.hist-ph] 8 Jul 2021 show the prediction | and hence the theory | to be false. In his defense of falsifiability as a demarcation criterion, Popper has stressed the importance of bold, risky claims that can be tested, for they allow science to make progress. -
What Is Scientific Progress?
What is Scientific Progress? 1 Introduction What is scientific progress? The answer is simple. Science (or some particular scientific field or theory) makes progress precisely when it shows the accumulation of scientific knowledge; an episode in science is progressive when at the end of the episode there is more knowledge than at the beginning. This simple, cumulative conception of scientific progress is not original; indeed it has a venerable history.1 Yet philosophers of science have almost entirely ignored this conception, at least since it was condemned by Kuhn and others in the 1960s. Even in the realist reaction against positivism and relativism the cumulative conception has not been rehabilitated. Realists have typically sought an account of progress in terms of increasing verisimilitude (truth-likeness, approximate truth) rather than increasing knowledge. In this paper I will be comparing three approaches to characterising scientific progress: (i) the epistemic approach, (ii) the semantic approach, and (iii) the functional-internalist approach. The epistemic approach takes knowledge to be the concept we need in order to understand what progress is. (The only version of the epistemic approach I shall consider is the cumulative knowledge account I have already advertised.) The semantic approach takes truth (or verisimilitude) to be the central concept is defining progress. And the functional-internalist holds that progress is made when a scientific development succeeds in fulfilling a certain function (such as solving a scientific problem), where that function is understood in such a way that the scientific practitioners are themselves in a position to judge whether the function has been fulfilled. -
“Discovering Neptune” – Critical Rationalism And
“DISCOVERING NEPTUNE” – CRITICAL RATIONALISM AND EDUCATIONAL PRACTICE Heidi K¨onig Institute ViennaCircle c/o Moritz Schlick Project Museumstraße 5/2/19 A-1070 VIENNA Austria e-mail: [email protected] Critical rationalism as well as Popper’s ideas on education have been the inspiration for an independent learning-cooperative, dedicated to evoking and deepening children’s interest and curiosity in learning science, which is being carried out by the present author in cooperation with a Viennese parental association. Departing from historical problems in astronomy (e.g. eclipses, the retrograde motion of planets, irregularities of the motion of planets), transferred to an imaginary solar system, children from 9 - 12 are being encouraged to present as many different ideas or models of explanation as possible. In a second step, and in group work, situations have to be found which would allow their models to be tested and could reveal them to be erroneous (models which cannot be exposed to criticism leave the game at that stage); the surviving models being held as possible candidates for truth. In a third step, children are being made familiar with several historical approaches to the solution of some of the problems in question, and are finally presented with problems that Kepler, Adams, Leverrier, et al were dealing with. In that “[w]e do not discover new facts or new effects by copying them, or by inferring them inductively from observation, or by any other method of instruction by the environment” but by “[using]rather, the method -
128 What Social Scientists Don't Understand
In D. W. Fiske and R. A. Shweder (Eds.) Metatheory in social science: Pluralisms and subjectivities. Chicago: University of 128 Chicago Press, 1986. (Chapter 14, pp.315-338) What Social Scientists Don’t Understand P. E. Meehl In the papers prepared for the conference on which this book is based and in the discussion, there were some matters almost universally agreed upon but repeated unnecessarily. Then there were some things that should have been agreed upon but were not. Finally, there were matters that were not agreed upon that needed more intensive examination—matters playing a central role in the philosophy of the social sciences and in the present intellectual gloominess that seems to prevail in all of the disciplines represented. THINGS GENERALLY AGREED ON FROM THE BEGINNING It was agreed that logical positivism and strict operationism won’t wash. Logical positivism, in anything like the sense of Vienna in the late twenties turned out not to be logically defensible, or even rigorously formulatable, by its adherents. It is epistemologically unsound from a variety of viewpoints (including ordinary-language analysis), it is not an accurate picture of the structure of advanced sciences such as physics, and it is grossly inadequate as a reconstruction of empirical history of science. So it is dead. All old surviving logical positivists agree, including my friend and teacher Feigl, who invented the phrase “logical positivism” and was the first to introduce the approach in the United States in 1931. The last remaining defender of anything like logical positivism was Gustav Bergmann, who ceased to do so by the late 1940s. -
Critical Rationalism Is Sir Karl Popper's Basic Position
Annals of the Japan Associationfor Philosophyof Science,March 1994 25 On Sir Karl Popper's Critical Rationalism Keiichiro. KAMINO I Critical Rationalism is Sir Karl Popper's basic position. The word "rational ism', however, is equivocal. Sir Karl's position, for instance, is not that rationalism propounded by Descartes, or Leibniz, at the beginning of modern times. We can say that in modern times, not only rationalists, but also empiricists, tried to build their philosophy along the line of rationalism, which might be called justificationism. By rejecting justificationism, however, Sir Karl has solved many philosophical problems. We should first make clear in what sense his position is a kind of rationalism. Though rationalism has various forms, it is at any rate one of the pillars of Western thought. We should remind ourselves that rationalism was initiated by the ancient Greek philosophers. We can see its beautiful florescence in the activ ities of the early Greek natural philosophers. According to Sir Karl, however, the decisive point in their intellectual tradition is the critical attitude developed in the Ionian school (C.R,, chap. 5). The questions which the Ionian school tried to answer, Sir Karl Popper says, were primarily cosmological, but they were also questions about a theory of knowl edge. In view of this, Popper contends that we should return to cosmology and to a simple theory of knowledge. By saying 'simple', he probably means that we should not bother with trivial questions, or questions merely for the sake of questions. That is, he is concerned with the problem of understanding the world in which we live. -
The Critical Rationalist
The Critical Rationalist ISSN 1393-3809 Volume 02 Number 02 05-Jun-1997 Editor-in-Chief: Dr. Ray Scott Percival E-mail: [email protected] Web: http://www.eeng.dcu.ie/~tkpw/tcr/tcr-home The Critical Rationalist Vol. 02 No. 02 ISSN: 1393-3809 05-Jun-1997 Popp erian Ideas on Progress and Rationalityin Science John Watkins c 1997 1 The Critical Rationalist Vol. 02 No. 02 ISSN: 1393-3809 05-Jun-1997 Popp erian Ideas on Progress and Rationalityin Science (First presented at the American Philosophical Association East- ern Division Meeting 1996, at the Symposium on Scientific Ra- tionality and Progress in Memory of Paul Feyerabend and Karl Popper.) 1 I got to know Paul Feyerabend well in 1961, when I was in Berkeley. (I also met Tom Kuhn then.) I loved his racy, carefree, and often surpris- ingly erudite talk and letters. But after Against Method we got rather stuck into confrontational postures (see for instance our argy-bargy in Progress and Rationality in Science, Radnitzky & Andersson 1978). Karl Popper I first encountered back in 1947. He had a decisive formative influence on my intellectual life. I remain a tremendous admirer of the ideas about science, especially about the growth and progress of science, which he published dur- ing his heyday, from 1934 down to about 1960. But I am critical of certain tendencies in his later philosophy, one of which I turn to now. 2 For Popper, science is like music or poetry in that it requires inventive- ness, there being no recipe or method for creating it, and also unlike music and poetry in that there are criteria of progress for it but not for them. -
The Distinction Between Falsification and Rejection in the Demarcation
Support and trend of falsifiability Nicolae Sfetcu 25.02.2019 Sfetcu, Nicolae, "Support and trend of falsifiability", SetThings (February 29, 2019), MultiMedia Publishing (ed.), URL = https://www.telework.ro/en/support-and-trend-of-falsifiability/ Email: [email protected] This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International. To view a copy of this license, visit http://creativecommons.org/licenses/by-nd/4.0/. This is a partial translation of: Sfetcu, Nicolae, "Distincția dintre falsificare și respingere în problema demarcației la Karl Popper", SetThings (3 iunie 2018), MultiMedia Publishing (ed.), DOI: 10.13140/RG.2.2.10444.72329, ISBN 978-606-033-139-1, URL = https://www.telework.ro/ro/e- books/distinctia-dintre-falsificare-si-respingere-in-problema-demarcatiei-la-karl-popper/ Support and trend of falsifiability Popper's supporters argued that most criticism is based on an incomprehensible interpretation of his ideas. They argue that Popper should not be interpreted as meaning that falsifiability is a sufficient condition for the demarcation of science. Some passages seem to suggest that he considers it is only a necessary condition. (Feleppa 1990, 142) Other passages would suggest that for a theory to be scientific, Popper requires (besides falsifiability) other tests, and that negative test results are accepted. (Cioffi 1985, 14–16) A demarcation criterion based on falsifiability that includes these elements will avoid the most obvious counter-arguments of a criterion based on falsifiability alone. (Hansson 2017) David Miller believes that the demarcation problem and the problem of induction at Popper are sometimes " lamentably misunderstood... The problem of demarcation is solved much as Popper solved it." (Miller 2009b) Many critics misunderstand Popper's philosophy in the demarcation problem.