Many-Valued Logic Through Its History
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Poznań Studies in the Philosophy of the Sciences and the Humanities), 21Pp
Forthcoming in: Uncovering Facts and Values, ed. A. Kuzniar and J. Odrowąż-Sypniewska (Poznań Studies in the Philosophy of the Sciences and the Humanities), 21pp. Abstract Alfred Tarski seems to endorse a partial conception of truth, the T-schema, which he believes might be clarified by the application of empirical methods, specifically citing the experimental results of Arne Næss (1938a). The aim of this paper is to argue that Næss’ empirical work confirmed Tarski’s semantic conception of truth, among others. In the first part, I lay out the case for believing that Tarski’s T-schema, while not the formal and generalizable Convention-T, provides a partial account of truth that may be buttressed by an examination of the ordinary person’s views of truth. Then, I address a concern raised by Tarski’s contemporaries who saw Næss’ results as refuting Tarski’s semantic conception. Following that, I summarize Næss’ results. Finally, I will contend with a few objections that suggest a strict interpretation of Næss’ results might recommend an overturning of Tarski’s theory. Keywords: truth, Alfred Tarski, Arne Næss, Vienna Circle, experimental philosophy Joseph Ulatowski ORDINARY TRUTH IN TARSKI AND NÆSS 1. Introduction Many of Alfred Tarski's better known papers on truth (e.g. 1944; 1983b), logical consequence (1983c), semantic concepts in general (1983a), or definability (1948) identify two conditions that successful definitions of “truth,” “logical consequence,” or “definition” require: formal correctness and material (or intuitive) adequacy.1 The first condition Tarski calls “formal correctness” because a definition of truth (for a given formal language) is formally correct when it is constructed in a manner that allows us to avoid both circular definition and semantic paradoxes. -
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. -
The Metamathematics of Putnam's Model-Theoretic Arguments
The Metamathematics of Putnam's Model-Theoretic Arguments Tim Button Abstract. Putnam famously attempted to use model theory to draw metaphysical conclusions. His Skolemisation argument sought to show metaphysical realists that their favourite theories have countable models. His permutation argument sought to show that they have permuted mod- els. His constructivisation argument sought to show that any empirical evidence is compatible with the Axiom of Constructibility. Here, I exam- ine the metamathematics of all three model-theoretic arguments, and I argue against Bays (2001, 2007) that Putnam is largely immune to meta- mathematical challenges. Copyright notice. This paper is due to appear in Erkenntnis. This is a pre-print, and may be subject to minor changes. The authoritative version should be obtained from Erkenntnis, once it has been published. Hilary Putnam famously attempted to use model theory to draw metaphys- ical conclusions. Specifically, he attacked metaphysical realism, a position characterised by the following credo: [T]he world consists of a fixed totality of mind-independent objects. (Putnam 1981, p. 49; cf. 1978, p. 125). Truth involves some sort of correspondence relation between words or thought-signs and external things and sets of things. (1981, p. 49; cf. 1989, p. 214) [W]hat is epistemically most justifiable to believe may nonetheless be false. (1980, p. 473; cf. 1978, p. 125) To sum up these claims, Putnam characterised metaphysical realism as an \externalist perspective" whose \favorite point of view is a God's Eye point of view" (1981, p. 49). Putnam sought to show that this externalist perspective is deeply untenable. To this end, he treated correspondence in terms of model-theoretic satisfaction. -
Set-Theoretic Geology, the Ultimate Inner Model, and New Axioms
Set-theoretic Geology, the Ultimate Inner Model, and New Axioms Justin William Henry Cavitt (860) 949-5686 [email protected] Advisor: W. Hugh Woodin Harvard University March 20, 2017 Submitted in partial fulfillment of the requirements for the degree of Bachelor of Arts in Mathematics and Philosophy Contents 1 Introduction 2 1.1 Author’s Note . .4 1.2 Acknowledgements . .4 2 The Independence Problem 5 2.1 Gödelian Independence and Consistency Strength . .5 2.2 Forcing and Natural Independence . .7 2.2.1 Basics of Forcing . .8 2.2.2 Forcing Facts . 11 2.2.3 The Space of All Forcing Extensions: The Generic Multiverse 15 2.3 Recap . 16 3 Approaches to New Axioms 17 3.1 Large Cardinals . 17 3.2 Inner Model Theory . 25 3.2.1 Basic Facts . 26 3.2.2 The Constructible Universe . 30 3.2.3 Other Inner Models . 35 3.2.4 Relative Constructibility . 38 3.3 Recap . 39 4 Ultimate L 40 4.1 The Axiom V = Ultimate L ..................... 41 4.2 Central Features of Ultimate L .................... 42 4.3 Further Philosophical Considerations . 47 4.4 Recap . 51 1 5 Set-theoretic Geology 52 5.1 Preliminaries . 52 5.2 The Downward Directed Grounds Hypothesis . 54 5.2.1 Bukovský’s Theorem . 54 5.2.2 The Main Argument . 61 5.3 Main Results . 65 5.4 Recap . 74 6 Conclusion 74 7 Appendix 75 7.1 Notation . 75 7.2 The ZFC Axioms . 76 7.3 The Ordinals . 77 7.4 The Universe of Sets . 77 7.5 Transitive Models and Absoluteness . -
Alfred Tarski His:Bio:Tar: Sec Alfred Tarski Was Born on January 14, 1901 in Warsaw, Poland (Then Part of the Russian Empire)
bio.1 Alfred Tarski his:bio:tar: sec Alfred Tarski was born on January 14, 1901 in Warsaw, Poland (then part of the Russian Empire). Described as \Napoleonic," Tarski was boisterous, talkative, and intense. His energy was often reflected in his lectures|he once set fire to a wastebasket while disposing of a cigarette during a lecture, and was forbidden from lecturing in that building again. Tarski had a thirst for knowledge from a young age. Although later in life he would tell students that he stud- ied logic because it was the only class in which he got a B, his high school records show that he got A's across the board| even in logic. He studied at the Univer- sity of Warsaw from 1918 to 1924. Tarski Figure 1: Alfred Tarski first intended to study biology, but be- came interested in mathematics, philosophy, and logic, as the university was the center of the Warsaw School of Logic and Philosophy. Tarski earned his doctorate in 1924 under the supervision of Stanislaw Le´sniewski. Before emigrating to the United States in 1939, Tarski completed some of his most important work while working as a secondary school teacher in Warsaw. His work on logical consequence and logical truth were written during this time. In 1939, Tarski was visiting the United States for a lecture tour. During his visit, Germany invaded Poland, and because of his Jewish heritage, Tarski could not return. His wife and children remained in Poland until the end of the war, but were then able to emigrate to the United States as well. -
Alfred Tarski and a Watershed Meeting in Logic: Cornell, 1957 Solomon Feferman1
Alfred Tarski and a watershed meeting in logic: Cornell, 1957 Solomon Feferman1 For Jan Wolenski, on the occasion of his 60th birthday2 In the summer of 1957 at Cornell University the first of a cavalcade of large-scale meetings partially or completely devoted to logic took place--the five-week long Summer Institute for Symbolic Logic. That meeting turned out to be a watershed event in the development of logic: it was unique in bringing together for such an extended period researchers at every level in all parts of the subject, and the synergetic connections established there would thenceforth change the face of mathematical logic both qualitatively and quantitatively. Prior to the Cornell meeting there had been nothing remotely like it for logicians. Previously, with the growing importance in the twentieth century of their subject both in mathematics and philosophy, it had been natural for many of the broadly representative meetings of mathematicians and of philosophers to include lectures by logicians or even have special sections devoted to logic. Only with the establishment of the Association for Symbolic Logic in 1936 did logicians begin to meet regularly by themselves, but until the 1950s these occasions were usually relatively short in duration, never more than a day or two. Alfred Tarski was one of the principal organizers of the Cornell institute and of some of the major meetings to follow on its heels. Before the outbreak of World War II, outside of Poland Tarski had primarily been involved in several Unity of Science Congresses, including the first, in Paris in 1935, and the fifth, at Harvard in September, 1939. -
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]. -
On Fuzzy and Rough Sets Approaches to Vagueness Modeling⋆ Extended Abstract
From Free Will Debate to Embodiment of Fuzzy Logic into Washing Machines: On Fuzzy and Rough Sets Approaches to Vagueness Modeling⋆ Extended Abstract Piotr Wasilewski Faculty of Mathematics, Informatics and Mechanics University of Warsaw Banacha 2, 02-097 Warsaw, Poland [email protected] Deep scientific ideas have at least one distinctive property: they can be applied both by philosophers in abstract fundamental debates and by engineers in concrete practi- cal applications. Mathematical approaches to modeling of vagueness also possess this property. Problems connected with vagueness have been discussed at the beginning of XXth century by philosophers, logicians and mathematicians in developing foundations of mathematics leading to clarification of logical semantics and establishing of math- ematical logic and set theory. Those investigations led also to big step in the history of logic: introduction of three-valued logic. In the second half of XXth century some mathematical theories based on vagueness idea and suitable for modeling vague con- cepts were introduced, including fuzzy set theory proposed by Lotfi Zadeh in 1965 [16] and rough set theory proposed by Zdzis¸saw Pawlak in 1982 [4] having many practical applications in various areas from engineering and computer science such as control theory, data mining, machine learning, knowledge discovery, artificial intelligence. Concepts in classical philosophy and in mathematics are not vague. Classical the- ory of concepts requires that definition of concept C hast to provide exact rules of the following form: if object x belongs to concept C, then x possess properties P1,P2,...,Pn; if object x possess properties P1,P2,...,Pn, then x belongs to concept C. -
Research Hotspots and Frontiers of Product R&D Management
applied sciences Article Research Hotspots and Frontiers of Product R&D Management under the Background of the Digital Intelligence Era—Bibliometrics Based on Citespace and Histcite Hongda Liu 1,2, Yuxi Luo 2, Jiejun Geng 3 and Pinbo Yao 2,* 1 School of Economics & Management, Tongji University, Shanghai 200092, China; [email protected] or [email protected] 2 School of Management, Shanghai University, Shanghai 200444, China; [email protected] 3 School of Management, Shanghai International Studies University, Shanghai 200333, China; [email protected] * Correspondence: [email protected] Abstract: The rise of “cloud-computing, mobile-Internet, Internet of things, big-data, and smart-data” digital technology has brought a subversive revolution to enterprises and consumers’ traditional patterns. Product research and development has become the main battlefield of enterprise compe- Citation: Liu, H.; Luo, Y.; Geng, J.; tition, facing an environment where challenges and opportunities coexist. Regarding the concepts Yao, P. Research Hotspots and and methods of product R&D projects, the domestic start was later than the international ones, and Frontiers of Product R&D many domestic companies have also used successful foreign cases as benchmarks to innovate their Management under the Background management methods in practice. “Workers must first sharpen their tools if they want to do their of the Digital Intelligence jobs well”. This article will start from the relevant concepts of product R&D projects and summarize Era—Bibliometrics Based on current R&D management ideas and methods. We combined the bibliometric analysis software Citespace and Histcite. Appl. Sci. Histcite and Citespace to sort out the content of domestic and foreign literature and explore the 2021, 11, 6759. -
Alfred Tarski, Friend and Daemon Benjamin Wells
Alfred Tarski, Friend and Daemon Benjamin Wells Engaging Tarski When I had passed doctoral exams in 1963 and Alfred Tarski’s name stayed with me after I read sounded Bob Vaught and John Addison on their about the Banach-Tarski paradox in [3] during availability for supervising my research, both said high school. I then discovered logic (and Tarski’s that the department recognized me as Tarski’s definition of truth) in the last year of college but student. News to me, despite the second opinion. still considered myself to be a topologist, not from So I called him to learn more about my fate. He love but from intimate contact in four courses as acknowledged the claim, “Good,” and invited me an undergraduate. So before arriving at UC Berke- for the first serious nighttime talk. ley in fall 1962 for graduate work, I thought only Source of the Title vaguely about taking a course with him. But my inclinations were shifting: dutifully registering Throughout cooperation and separation, Alfred for fall classes in topological groups and algebraic and I were friends, cordial and personable, but geometry, I added metamathematics and Tarski’s not really personal. He also established another general algebraic systems. The next fall, Tarski of- role, that of daemon in the sense of [4]: a leonine fered set theory. These two courses were my only externalized conscience, at least. The scope of Tarski lectures, but there were numerous seminars. this conscience was foremost mathematical, with a hope for political, a goal of cultural, a reserva- Visitors to Berkeley constantly identified Tarski tion on philosophical and moral, and a hint of with whatever topic occupied him so fruitfully and spiritual. -
On the Psychological Motives in Leopold Blaustein's Method
GESTALT THEORY, DOI 10.2478/gth-2020-0015 © 2020 (ISSN 2519-5808); Vol. 42, No. 2, 181–194 Original Contributions - Originalbeiträge Witold Płotka Approaching the Variety of Lived Experiences: On the Psychological Motives in Leopold Blaustein’s Method 1. Introduction The basic aim of this article is to present selected elements of the method developed by Leopold Blaustein (1905–1942 [or 1944]) as a part of his philosophical investigations into the structure of lived experiences. To make this general aim more specific it is worthwhile to briefly outline the biography of this philosopher. Blaustein read philosophy and German at the John Casimir University in Lvov and completed his education during study visits to Freiburg im Breisgau (in 1925) and Berlin (1927–1928). In Lvov, he attended lectures on logic delivered by Kazimierz Ajdukiewicz (1890–1963) as well as classes conducted by Roman Ingarden (1893–1970) who, at that time, was only partially related to the university although he already tried to obtain the title of professor. Blaustein’s most important influence, however, was Kazimierz Twardowski (1866–1938), the founder of the Lvov-Warsaw School. It was under the supervision of Twardowski that he wrote his doctoral thesis published in 1928 under the title Husserlowska nauka o akcie, treści i przedmiocie przedstawienia [Husserl’s Theory of the Act, Content and the Object of Presentation] (Blaustein, 1928; Płotka, 2017, pp. 85–86). The thesis shows that Blaustein favoured phenomenological methods as formulated by Edmund Husserl (1859–1938) in the first edition ofLogical Investigations from 1900 and 1901. Phenomenology is understood there in the spirit of Franz Brentano (1838–1917), Husserl’s and Twardowski’s teacher from Vienna, as a form of descriptive psychology.