Aristotle's Demonstrative Logic
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The Philosophy of Physics
The Philosophy of Physics ROBERTO TORRETTI University of Chile PUBLISHED BY THE PRESS SYNDICATE OF THE UNIVERSITY OF CAMBRIDGE The Pitt Building, Trumpington Street, Cambridge, United Kingdom CAMBRIDGE UNIVERSITY PRESS The Edinburgh Building, Cambridge CB2 2RU, UK www.cup.cam.ac.uk 40 West 20th Street, New York, NY 10011-4211, USA www.cup.org 10 Stamford Road, Oakleigh, Melbourne 3166, Australia Ruiz de Alarcón 13, 28014, Madrid, Spain © Roberto Torretti 1999 This book is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published 1999 Printed in the United States of America Typeface Sabon 10.25/13 pt. System QuarkXPress [BTS] A catalog record for this book is available from the British Library. Library of Congress Cataloging-in-Publication Data is available. 0 521 56259 7 hardback 0 521 56571 5 paperback Contents Preface xiii 1 The Transformation of Natural Philosophy in the Seventeenth Century 1 1.1 Mathematics and Experiment 2 1.2 Aristotelian Principles 8 1.3 Modern Matter 13 1.4 Galileo on Motion 20 1.5 Modeling and Measuring 30 1.5.1 Huygens and the Laws of Collision 30 1.5.2 Leibniz and the Conservation of “Force” 33 1.5.3 Rømer and the Speed of Light 36 2 Newton 41 2.1 Mass and Force 42 2.2 Space and Time 50 2.3 Universal Gravitation 57 2.4 Rules of Philosophy 69 2.5 Newtonian Science 75 2.5.1 The Cause of Gravity 75 2.5.2 Central Forces 80 2.5.3 Analytical -
UNDERSTANDING MATHEMATICS to UNDERSTAND PLATO -THEAETEUS (147D-148B Salomon Ofman
UNDERSTANDING MATHEMATICS TO UNDERSTAND PLATO -THEAETEUS (147d-148b Salomon Ofman To cite this version: Salomon Ofman. UNDERSTANDING MATHEMATICS TO UNDERSTAND PLATO -THEAETEUS (147d-148b. Lato Sensu, revue de la Société de philosophie des sciences, Société de philosophie des sciences, 2014, 1 (1). hal-01305361 HAL Id: hal-01305361 https://hal.archives-ouvertes.fr/hal-01305361 Submitted on 20 Apr 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNDERSTANDING MATHEMATICS TO UNDERSTAND PLATO - THEAETEUS (147d-148b) COMPRENDRE LES MATHÉMATIQUES POUR COMPRENDRE PLATON - THÉÉTÈTE (147d-148b) Salomon OFMAN Institut mathématique de Jussieu-PRG Histoire des Sciences mathématiques 4 Place Jussieu 75005 Paris [email protected] Abstract. This paper is an updated translation of an article published in French in the Journal Lato Sensu (I, 2014, p. 70-80). We study here the so- called ‘Mathematical part’ of Plato’s Theaetetus. Its subject concerns the incommensurability of certain magnitudes, in modern terms the question of the rationality or irrationality of the square roots of integers. As the most ancient text on the subject, and on Greek mathematics and mathematicians as well, its historical importance is enormous. -
Mapping the Meaning of Knowledge in Design Research Kristina Niedderer University of Hertfordshire
V.2:2 April 2007 www.designresearchsociety.org Design Research Society ISSN 1752-8445 Mapping the Meaning of Knowledge in Design Research Kristina Niedderer University of Hertfordshire Knowledge plays a vital role in our life This question has arisen for design in Table of Contents: in that it reflects how we understand the UK, as well as more generally for the world around us and thus deter- creative and practice-led disciplines Articles: 1 Mapping the Meaning of Knowledge mines how we act upon it. In this sense, (CPDs), because research regulations in Design Research knowledge is of particular importance and requirements in the UK remain Kristina Niedderer for designers because they act to shape silent about what knowledge and our world. Conventionally, knowledge understanding mean in the context of 3 Call for Papers: Design Research creation has been assumed by (design) their specifications while implicitly pri- Quarterly research. However developments of oritising propositional knowledge over Case Studies in Research: Knowledge using practice within research have knowledge that cannot be expressed in and Inquiry pointed to knowledge creation within that form (Niedderer 2007). and through practice. This has raised This has led to a number of prob- Listings: the question of the meaning, role and lems concerning the role and format 14 Current Research in Design: format of knowledge in both research of knowledge in research and practice ToCs from Leading Design Journals and practice, and about the compatibil- in the UK. For example, because of the ity between knowledge of research and language-based mode of proposition- 21 Upcoming Events Worldwide practice. -
Marko Malink (NYU)
Demonstration by reductio ad impossibile in Posterior Analytics 1.26 Marko Malink (New York University) Contents 1. Aristotle’s thesis in Posterior Analytics 1. 26 ................................................................................. 1 2. Direct negative demonstration vs. demonstration by reductio ................................................. 14 3. Aristotle’s argument from priority in nature .............................................................................. 25 4. Priority in nature for a-propositions ............................................................................................ 38 5. Priority in nature for e-, i-, and o-propositions .......................................................................... 55 6. Accounting for Aristotle’s thesis in Posterior Analytics 1. 26 ................................................... 65 7. Parts and wholes ............................................................................................................................. 77 References ............................................................................................................................................ 89 1. Aristotle’s thesis in Posterior Analytics 1. 26 At the beginning of the Analytics, Aristotle states that the subject of the treatise is demonstration (ἀπόδειξις). A demonstration, for Aristotle, is a kind of deductive argument. It is a deduction through which, when we possess it, we have scientific knowledge (ἐπιστήμη). While the Prior Analytics deals with deduction in -
Phenomenal Concepts and the Problem of Acquaintance
Paul Livingston Phenomenal Concepts and the Problem of Acquaintance Abstract: Some contemporary discussion about the explanation of consciousness substantially recapitulates a decisive debate about ref- erence, knowledge, and justification from an earlier stage of the ana- lytic tradition. In particular, I argue that proponents of a recently popular strategy for accounting for an explanatory gap between phys- ical and phenomenal facts — the so-called ‘phenomenal concept strategy’ — face a problem that was originally fiercely debated by Schlick, Carnap, and Neurath. The question that is common to both the older and the contemporary discussion is that of how the presence or presentation of phenomenal experiences can play a role in justify- ing beliefs or judgments about them. This problem is, moreover, the same as what was classically discussed as the problem of acquain- tance. Interestingly, both physicalist and non-physicalist proponents of the phenomenal concept strategy today face this problem. I con- sider briefly some recent attempts to solve it and conclude that, although it is prima facie very plausible that acquaintance exists, we have, as yet, no good account of it. My aim in this paper is to demonstrate that proponents of a recently popular physicalist strategy for explaining consciousness — what has been called the phenomenal concept strategy — share with certain anti-physicalist phenomenal realists a common problem, which was also a problem for Schlick, Carnap, and Neurath in the days of the Vienna Circle. Though it has implications for ontology and metaphys- ics, this problem is essentially one about justification: how can judg- ments, claims, or beliefs about phenomenal experience be justified, at Correspondence: Email: [email protected] Journal of Consciousness Studies, 20, No. -
Types of Science Fair Projects: the Good and the Bad Demonstrations, Experiments, Engineering Projects, and Computer Science Projects Science Fair Projects
Types of Science Fair Projects: The Good and the Bad Demonstrations, experiments, engineering projects, and computer science projects Science Fair Projects Experiments Math projects Engineering Computer Science Demonstrations What is a demonstration? • Demonstration projects are not permitted. • A demonstration shows how something works. • An experiment involves an independent and dependent variable. Demo → Experiment • The difference between a demonstration and an experiment is the manipulation of variables. • To change a demonstration to an experiment, modify the project to include an independent and a dependent variable. • Examples: Volcano, Motor Science Fair Projects Experiments Math projects Engineering Computer Science The Process is the Key • Science, engineering, and mathematics each have their own process for coming to new knowledge. • No matter what kind of project you are doing you must follow the process appropriate to your discipline. Image from http://sciencebuddies.org/science-fair-projects/project_scientific_method.shtml Computer Programming Math Projects Engineering Scientific Mathematical Process Method Reasoning/Proof Define a need State your question Define what is known Do background research Do background research Research & define all terminology Establish design criteria Formulate your hypothesis, Make a conjecture/assumption identify variables based on what you know Prepare preliminary designs Design experiment, establish Perform calculations procedure Build & test prototype Test your hypothesis by doing Look for counter examples an experiment Test & redesign as necessary Analyze your results and draw Recalculate and write up steps conclusions to the conclusion Present results Present results Present Results Scientific Method & Engineering Process Comparison used with permission from Science Buddies. Computer Science Projects • Computer science projects are a special type of engineering projects and therefore follow the engineering design process. -
Space-Based Space Surveillance Operational and Demonstration Missions
SPACE-BASED SPACE SURVEILLANCE OPERATIONAL AND DEMONSTRATION MISSIONS Diego Escorial Olmos(1), Fernando E. Alemán Roda(2), Kevin Middleton(3), Joris.Naudet(4) (1)GMV, Isaac Newton 11, Tres Cantos 28760, Madrid, Spain, Email: [email protected] (2)GMV, Isaac Newton 11, Tres Cantos 28760, Madrid, Spain, Email: [email protected] (3) RAL Space, STFC Rutherford Appleton Laboratory, Harwell, Oxford Didcot, Oxon, OX11 0QX, United Kingdom, Email: [email protected] (4)QinetiQ Space, Hogenakkerhoekstraat 9, 9150 Kruibeke, Belgium, Email: [email protected] ABSTRACT objects. In order to include a detected object in the catalogue, the accuracy envelope shall be better than GMV is currently leading, under ESA contract, an 2.5km. These requirements shall be achieved by the assessment study to define a demonstration mission for SBSS operational system in conjunction with the space-based space surveillance. The project team ground based segment of the SST (Space Surveillance includes QinetiQ Space as responsible for the platform and Tracking) system that would be also available in the and RAL Space for the payload activities. future. During the first phase of the study a high-level In terms of reactiveness, the system shall be able to definition of a future operational mission has been fulfil a tracking request for any GEO “catalogued” or carried out including the definition of user requirements “pre-catalogued” object before 48 hours after the for a future Space Based Space Surveillance (SBSS) request is issued. This requires that the space segment service. shall be able to be re-planned or re-programmed in less During the second phase of the study a precursor than 24 hours to accommodate the active tracking mission to demonstrate the SBSS operational needs has request. -
ARISTOTLE's FOUNDATIONALISM Breno Andrade Zuppolini Aristotle
ARISTOTLE’S FOUNDATIONALISM Breno Andrade Zuppolini UNICAMP Resumo: Para Aristóteles, conhecimento demonstrativo é o resultado do que ele denomina 'aprendizado intelectual', processo em que o conhecimento da conclusão depende de um conhecimento prévio das premissas. Dado que demonstrações são, em última instância, baseadas em princípios indemonstráveis (cujo conhecimento é denominado 'νοῦς'), Aristóteles é frequentemente retratado como promovendo uma doutrina fundacionista. Sem contestar a nomenclatura, tentarei mostrar que o 'fundacionismo' de Aristóteles não deve ser entendido como uma teoria racionalista da justificação epistêmica, como se os primeiros princípios da ciência pudessem ser conhecidos enquanto tais independentemente de suas conexões explanatórias com proposições demonstráveis. Argumentarei que conhecer os primeiros princípios enquanto tais envolve conhecê-los como explicações de outras proposições científicas. Explicarei, então, de que modo conhecimento noético e conhecimento demonstrativo são, em certo sentido, estados cognitivos interdependentes – ainda que o conceito de νοῦς se mantenha distinto de (e, nas palavras de Aristóteles, mais 'preciso' do que) conhecimento demonstrativo. Palavras-chave: Aristóteles; fundacionismo; ciência; demonstração. Abstract: For Aristotle, demonstrative knowledge is the result of what he calls ‘intellectual learning’, a process in which the knowledge of a conclusion depends on previous knowledge of the premises. Since demonstrations are ultimately based on indemonstrable principles (the knowledge of which is called ‘νοῦς’), Aristotle is often described as advancing a foundationalist doctrine. Without disputing the nomenclature, I shall attempt to show that Aristotle’s ‘foundationalism’ should not be taken as a rationalist theory of epistemic justification, as if the first principles of science could be known as such independently of their explanatory connections to demonstrable propositions. -
Can Science Advance Effectively Through Philosophical Criticism and Reflection?
Can science advance effectively through philosophical criticism and reflection? ROBERTO TORRETTI Universidad de Puerto Rico ABSTRACT Prompted by Hasok Chang’s conception of the history and philosophy of science (HPS) as the continuation of science by other means, I examine the possibility of obtaining scientific knowledge through philosophical criticism and reflection, in the light of four historical cases, concerning (i) the role of absolute space in Newtonian dynamics, (ii) the purported contraction of rods and retardation of clocks in Special Relativity, (iii) the reality of the electromagnetic ether, and (iv) the so-called problem of time’s arrow. In all four cases it is clear that a better understanding of such matters can be achieved —and has been achieved— through conceptual analysis. On the other hand, however, it would seem that this kind of advance has more to do with philosophical questions in science than with narrowly scientific questions. Hence, if HPS in effect continues the work of science by other means, it could well be doing it for other ends than those that working scientists ordinarily have in mind. Keywords: Absolute space – Inertial frames – Length contraction – Clock retardation – Special relativity – Ether – Time – Time directedness – Entropy – Boltzmann entropy Philosophical criticism and the advancement of science 2 The mind will not readily give up the attempt to apprehend the exact formal character of the latent connexions between different physical agencies: and the history of discovery may be held perhaps to supply the strongest reason for estimating effort towards clearness of thought as of not less importance in its own sphere than exploration of phenomena. -
Hasok Chang Department of History and Philosophy of Science, University of Cambridge
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Apollo 1 Operational Coherence as the Source of Truth1 (version for publication, 14 February 2017) Hasok Chang Department of History and Philosophy of Science, University of Cambridge Abstract In this paper I seek to defend an epistemology that does not confine itself to the knowledge of propositions. The first section motivates this move, especially from the standpoint of the philosophy of science. The second section presents the notion of operational coherence as the key to understanding how knowledge resides in activities. The third section presents a proposal for making sense of truth on the basis of operational coherence. The final section briefly re- considers the relation between knowledge-as-ability and knowledge-as- information. 1. Knowledge beyond propositions The overall direction of this paper is to move beyond the propositional conception of knowledge. What I mean by that phrase is the widespread notion that knowledge (or at least the kind of knowledge that deserves the attention of epistemologists) consists in possessing the right sort of belief in the right sort of propositions.2 Without denying the importance of propositional knowledge, I want to pay attention to other aspects of what we commonly call knowledge, which cannot comfortably be fitted into a propositional framework. I will not pretend that the move I am making is a novel one, especially in this journal. 1 I would like to thank various members of the audience at the Aristotelian Society meeting of 9 January 2017 for helpful objections and suggestions, as well as encouragement. -
Pragmatic Realism†
Revista de Humanidades de Valparaíso Año 4 / 2016 / 2do semestre / N° 8 Págs. 107 - 122 ISSN 0719-4234 / eISSN 0719-4242 Pragmatic Realism† Hasok Chang* Abstract In this paper I seek to articulate and develop Roberto Torretti’s advocacy of pragmatic realism. At the core of Torrietti’s view is a rejection of the notion that the truth of scientific theories consists in their correspondence to the world. I propose to understand correspondence in that sense as a metaphorical notion. I articulate a notion of pragmatist coherence, on the basis of which I make new coherence theories of truth and reality. Then it becomes possible to say that pragmatic realism consists in the pursuit of true knowledge of reality, in a way that is also consonant with Torretti’s pluralism. Keywords: pragmatism, realism, pluralism, coherence, truth, reality Realismo Pragmático Resumen En este trabajo intento articular y desarrollar la defensa que Roberto Torretti hace del realismo pragmático. En el núcleo de la visión de Torretti existe un rechazo a la idea de que la verdad de las teorías científicas consista en su correspondencia con el mundo. Propongo entonces entender la correspondencia como una noción metafórica. Articularé una noción de coherencia pragmática sobre la cual establezco una nueva teoría de la coherencia entre verdad y realidad. __________________En consecuencia, resultará posible afirmar que el realismo pragmático † Recibido: octubre 2016. This paper is partly based on a presentation entitled “Pragmatist Coherence as the Source of Truth and Reality,” given at the sixth biennial conference of the Society for Philosophy of Science in Practice (SPSP) on 17 June 2016 at Rowan University. -
Publications of John Corcoran OCT 04
OCTOBER 2004 PUBLICATIONS OF JOHN CORCORAN I. Articles. MR indicates review in Mathematical Reviews. J indicates available at JSTOR. G indicates available at Google by entering John Corcoran plus the complete title. 1.J Three Logical Theories, Philosophy of Science 36 (1969) 153-77. 2. Logical Consequence in Modal Logic: Natural Deduction in S5 (co-author G. Weaver), Notre Dame Journal of Formal Logic 10 (1969) 370-84. 3. Discourse Grammars and the Structure of Mathematical Reasoning I: Mathematical Reasoning and the Stratification of Language, Journal of Structural Learning 3 (1971) #1, 55-74. 4. Discourse Grammars and the Structure of Mathematical Reasoning II: The Nature of a Correct Theory of Proof and Its Value, Journal of Structural Learning 3 (1971) #2, 1-16. 5. Discourse Grammars and the Structure of Mathematical Reasoning III: Two Theories of Proof, Journal of Structural Learning 3 (1971) #3, 1-24. 6. Notes on a Semantic Analysis of Variable Binding Term Operators (co-author John Herring), Logique et Analyse 55 (1971) 646-57. MR46#6989. 7. Variable Binding Term Operators, (co-authors Wm. Hatcher, John Herring) Zeitschrift fu"r mathematische Logik und Grundlagen der Mathematik 18 (1972) 177-82. MR46#5098. 8.J Conceptual Structure of Classical Logic, Philosophy & Phenomenological Research 33 (1972) 25-47. 9. Logical Consequence in Modal Logic: Some Semantic Systems for S4 (co-author G. Weaver), Notre Dame Journal of Formal Logic 15 (1974) 370-78. MR50#4253. 10, 11, and 12. Revisions of 3, 4 and 5 in Structural Learning II Issues and Approaches, ed. J. Scandura, Gordon and Breach Science Publishers, New York (1976).