Does Informal Logic Have Anything to Learn from Fuzzy Logic?
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Simple Logic for Comparisons and Vagueness
THEODORE J. EVERETT A SIMPLE LOGIC FOR COMPARISONS AND VAGUENESS ABSTRACT. I provide an intuitive, semantic account of a new logic for comparisons (CL), in which atomic statements are assigned both a classical truth-value and a “how much” value or extension in the range [0, 1]. The truth-value of each comparison is determined by the extensions of its component sentences; the truth-value of each atomic depends on whether its extension matches a separate standard for its predicate; everything else is computed classically. CL is less radical than Casari’s comparative logics, in that it does not allow for the formation of comparative statements out of truth-functional molecules. I argue that CL provides a better analysis of comparisons and predicate vagueness than classical logic, fuzzy logic or supervaluation theory. CL provides a model for descriptions of the world in terms of comparisons only. The sorites paradox can be solved by the elimination of atomic sentences. In his recent book on vagueness, Timothy Williamson (1994) attacks accounts of vagueness arising from either fuzzy logic or supervaluation theory, both of which have well-known problems, stemming in part from their denial of classical bivalence. He then gives his own, epistemic ac- count of vagueness, according to which the vagueness of a predicate is fundamentally a matter of our not knowing whether or not it applies in every case. My main purpose in this paper is not to criticize William- son’s positive view, but to provide an alternative, non-epistemic account of predicate vagueness, based on a very simple logic for comparisons (CL), which preserves bivalence. -
Intransitivity and Vagueness
Intransitivity and Vagueness Joseph Y. Halpern∗ Cornell University Computer Science Department Ithaca, NY 14853 [email protected] http://www.cs.cornell.edu/home/halpern Abstract preferences. Moreover, it is this intuition that forms the ba- sis of the partitional model for knowledge used in game the- There are many examples in the literature that suggest that indistinguishability is intransitive, despite the fact that the in- ory (see, e.g., [Aumann 1976]) and in the distributed sys- distinguishability relation is typically taken to be an equiv- tems community [Fagin, Halpern, Moses, and Vardi 1995]. alence relation (and thus transitive). It is shown that if the On the other hand, besides the obvious experimental obser- uncertainty perception and the question of when an agent vations, there have been arguments going back to at least reports that two things are indistinguishable are both care- Poincare´ [1902] that the physical world is not transitive in fully modeled, the problems disappear, and indistinguishabil- this sense. In this paper, I try to reconcile our intuitions ity can indeed be taken to be an equivalence relation. More- about indistinguishability with the experimental observa- over, this model also suggests a logic of vagueness that seems tions, in a way that seems (at least to me) both intuitively to solve many of the problems related to vagueness discussed appealing and psychologically plausible. I then go on to ap- in the philosophical literature. In particular, it is shown here ply the ideas developed to the problem of vagueness. how the logic can handle the Sorites Paradox. To understand the vagueness problem, consider the well- n+1 1 Introduction known Sorites Paradox: If grains of sand make a heap, then so do n. -
Decision Making: Fuzzy Logic
First, a bit of history, my 1965 paper on fuzzy sets was motivated by my feeling that the then existing theories provided no means of dealing with a pervasive aspect of reality—unsharpness (fuzziness) of class boundaries. Without such means, realistic models of human-centered and biological systems are hard to construct. My expectation was that fuzzy set theory would be welcomed by the scientific communities in these and related fields. Contrary to my expectation, in these fields, fuzzy set theory was met with skepticism and, in some instances, with hostility. What I did not anticipate was that, for many years after the debut of fuzzy set theory, its Decision Making: main applications would be in the realms of engineering systems and consumer products. Fuzzy Logic … Underlying the concept of a linguistic variable is a fact which is widely unrecognized—a fact which relates to the 2018-03-15 concept of precision. Precision has two distinct meanings—precision in value and precision in meaning. The first meaning is traditional. The second meaning is not. The second meaning is rooted in fuzzy logic. -- Lotfi Zadeh, 2013 Questions (N-2) 1. What are the 2 most “complex” decision making techniques we’ve seen? 2. What are their strengths? Weaknesses? 3. What is the key (insight) to their success? 4. What does Planning have that (forward chaining) RBS do not? 5. When do we need a communication mechanism? 2 Questions (N-1) 1. Cooperative problem solving / distributed expertise is using h___ to d__ problems into smaller parts. 2. R__ experts rarely communicate/collaborate. -
Fuzzy Logic Control for Stand-Alone Photovoltaic Energy Conversion
Fuzzy Logic Control for Stand-alone Photovoltaic Energy Conversion System, and Innovation in Renewable Energy By Zainab Almukhtar A Thesis Submitted to Saint Mary’s University, Halifax, Nova Scotia in Partial Fulfillment of the Requirements for the Degree of Master of Technology Entrepreneurship and Innovation June 29, 2016, Halifax, Nova Scotia Copyright Zainab Almukhtar, 2016 Approved: Dr. Adel Merabet Supervisor Division of Engineering Approved: Dr. Claudia De Fuentes Supervisory Committee Member Management Department, Sobey School of Business Approved: Dr. Rasheed Beguenane External Examiner ECE, Royal Military College Date: June 29th, 2016 Fuzzy Logic Control for Stand-alone Photovoltaic Energy Conversion System, and Innovation in Renewable Energy. by Zainab Almukhtar Abstract In this dissertation, simulation and hardware emulation was implemented to experiment the operation of a power regulation system for stand-alone PV system with DC loads using Fuzzy Logic Control (FLC). The system encompasses the functions of Maximum Power Point Tracking (MPPT) to bring the power to the maximum value, load power regulation and control of battery operation. An algorithm that tracks the maximum power, and the corresponding fuzzy logic controller were developed. An improved method for the battery operation regulation including a fuzzy logic controller was applied. Load voltage regulation was achieved by a modified cascaded PI controller. The power regulation system managed to stabilize the load power, proved fast MPPT tracking and regulation of the battery operation in the presence of fluctuations and fast input variations. The work included a study of the importance of university-industry collaboration to innovation in renewable energy. The current collaboration channels and the contribution of the current work was analysed through a questionnaire directed to the supervisor. -
On the Relationship Between Fuzzy Autoepistemic Logic and Fuzzy Modal Logics of Belief
JID:FSS AID:6759 /FLA [m3SC+; v1.204; Prn:31/03/2015; 9:42] P.1(1-26) Available online at www.sciencedirect.com ScienceDirect Fuzzy Sets and Systems ••• (••••) •••–••• www.elsevier.com/locate/fss On the relationship between fuzzy autoepistemic logic and fuzzy modal logics of belief ∗ Marjon Blondeel d, ,1, Tommaso Flaminio a,2, Steven Schockaert b, Lluís Godo c,3, Martine De Cock d,e a Università dell’Insubria, Department of Theorical and Applied Science, Via Mazzini 5, 21100 Varese, Italy b Cardiff University, School of Computer Science and Informatics, 5The Parade, Cardiff, CF24 3AA, UK c Artficial Intelligence Research Institute (IIIA) – CSIC, Campus UAB, 08193 Bellaterra, Spain d Ghent University, Department of Applied Mathematics, Computer Science and Statistics, Krijgslaan 281 (S9), 9000 Gent, Belgium e University of Washington Tacoma – Center for Web and Data Science, 1900 Commerce Street, Tacoma, WA 98402-3100, USA Received 12 February 2014; received in revised form 30 September 2014; accepted 26 February 2015 Abstract Autoepistemic logic is an important formalism for nonmonotonic reasoning originally intended to model an ideal rational agent reflecting upon his own beliefs. Fuzzy autoepistemic logic is a generalization of autoepistemic logic that allows to represent an agent’s rational beliefs on gradable propositions. It has recently been shown that, in the same way as autoepistemic logic generalizes answer set programming, fuzzy autoepistemic logic generalizes fuzzy answer set programming as well. Besides being related to answer set programming, autoepistemic logic is also closely related to several modal logics. To investigate whether a similar relationship holds in a fuzzy logical setting, we firstly generalize the main modal logics for belief to the setting of finitely-valued c Łukasiewicz logic with truth constants Łk, and secondly we relate them with fuzzy autoepistemic logics. -
The Use of Fuzzy Logic for Artificial Intelligence in Games
The use of Fuzzy Logic for Artificial Intelligence in Games Michele Pirovano1;2 1Department of Computer Science, University of Milano, Milano, Italy 2Dipartimento di Ingegneria Elettronica e Informazione, Politecnico di Milano, Italy December 7, 2012 Abstract Game AI, like all other aspects of a videogame, exists to pro- pel the higher goal of a videogame: to be fun and entertain. In Game artificial intelligence (game AI) is the branch of other words, the motto of the game AI society is often thought videogame development that is concerned with empowering to be If the player cannot see it, why do it? [21]. The context games with the illusion of intelligence. Game AI borrows is however not so simple nowadays, as partly due to successful many techniques from the broader field of AI, from simple fi- products that have brought forward advanced AI, partly due to nite state machines to state-of-the-art evolutionary algorithms. the ubiquitous online multi-player options that have changed Among these techniques, fuzzy logic is one of the tools that the habits of players, players are now more demanding in re- must be present in the arsenal of a good videogame AI de- gards to AI and more and more game developers have turned veloper, due to the simplicity of its formulation coupled with their attention from scripted and predictable agents to more its expressive power. In this paper, we introduce the field of human-like agents, capable of learning and thus, in the clas- game AI and review the use of fuzzy logic in games, looking sical AI definition, intelligent. -
Consequence and Degrees of Truth in Many-Valued Logic
Consequence and degrees of truth in many-valued logic Josep Maria Font Published as Chapter 6 (pp. 117–142) of: Peter Hájek on Mathematical Fuzzy Logic (F. Montagna, ed.) vol. 6 of Outstanding Contributions to Logic, Springer-Verlag, 2015 Abstract I argue that the definition of a logic by preservation of all degrees of truth is a better rendering of Bolzano’s idea of consequence as truth- preserving when “truth comes in degrees”, as is often said in many-valued contexts, than the usual scheme that preserves only one truth value. I review some results recently obtained in the investigation of this proposal by applying techniques of abstract algebraic logic in the framework of Łukasiewicz logics and in the broader framework of substructural logics, that is, logics defined by varieties of (commutative and integral) residuated lattices. I also review some scattered, early results, which have appeared since the 1970’s, and make some proposals for further research. Keywords: many-valued logic, mathematical fuzzy logic, truth val- ues, truth degrees, logics preserving degrees of truth, residuated lattices, substructural logics, abstract algebraic logic, Leibniz hierarchy, Frege hierarchy. Contents 6.1 Introduction .............................2 6.2 Some motivation and some history ...............3 6.3 The Łukasiewicz case ........................8 6.4 Widening the scope: fuzzy and substructural logics ....9 6.5 Abstract algebraic logic classification ............. 12 6.6 The Deduction Theorem ..................... 16 6.7 Axiomatizations ........................... 18 6.7.1 In the Gentzen style . 18 6.7.2 In the Hilbert style . 19 6.8 Conclusions .............................. 21 References .................................. 23 1 6.1 Introduction Let me begin by calling your attention to one of the main points made by Petr Hájek in the introductory, vindicating section of his influential book [34] (the italics are his): «Logic studies the notion(s) of consequence. -
A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability and Statistics
FLORENTIN SMARANDACHE A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS (fourth edition) NL(A1 A2) = ( T1 ({1}T2) T2 ({1}T1) T1T2 ({1}T1) ({1}T2), I1 ({1}I2) I2 ({1}I1) I1 I2 ({1}I1) ({1} I2), F1 ({1}F2) F2 ({1} F1) F1 F2 ({1}F1) ({1}F2) ). NL(A1 A2) = ( {1}T1T1T2, {1}I1I1I2, {1}F1F1F2 ). NL(A1 A2) = ( ({1}T1T1T2) ({1}T2T1T2), ({1} I1 I1 I2) ({1}I2 I1 I2), ({1}F1F1 F2) ({1}F2F1 F2) ). ISBN 978-1-59973-080-6 American Research Press Rehoboth 1998, 2000, 2003, 2005 FLORENTIN SMARANDACHE A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS (fourth edition) NL(A1 A2) = ( T1 ({1}T2) T2 ({1}T1) T1T2 ({1}T1) ({1}T2), I1 ({1}I2) I2 ({1}I1) I1 I2 ({1}I1) ({1} I2), F1 ({1}F2) F2 ({1} F1) F1 F2 ({1}F1) ({1}F2) ). NL(A1 A2) = ( {1}T1T1T2, {1}I1I1I2, {1}F1F1F2 ). NL(A1 A2) = ( ({1}T1T1T2) ({1}T2T1T2), ({1} I1 I1 I2) ({1}I2 I1 I2), ({1}F1F1 F2) ({1}F2F1 F2) ). ISBN 978-1-59973-080-6 American Research Press Rehoboth 1998, 2000, 2003, 2005 1 Contents: Preface by C. Le: 3 0. Introduction: 9 1. Neutrosophy - a new branch of philosophy: 15 2. Neutrosophic Logic - a unifying field in logics: 90 3. Neutrosophic Set - a unifying field in sets: 125 4. Neutrosophic Probability - a generalization of classical and imprecise probabilities - and Neutrosophic Statistics: 129 5. Addenda: Definitions derived from Neutrosophics: 133 2 Preface to Neutrosophy and Neutrosophic Logic by C. -
Reading T. S. Eliot Reading Spinoza
READING T. S. ELIOT READING SPINOZA A Dissertation Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Yoshiaki Mihara January 2013 © 2013 Yoshiaki Mihara READING T. S. ELIOT READING SPINOZA Yoshiaki Mihara, Ph. D. Cornell University 2013 “[The ordinary man] falls in love, or reads Spinoza, and these two experiences have nothing to do with each other” – a good reader of T. S. Eliot’s criticism probably knows this famous passage; a good researcher on Eliot’s apprenticeship in philosophy perhaps knows that he did actually read Spinoza; and yet, in the current Eliot studies, reading Eliot and reading Spinoza seem to have nothing to do with each other. In this dissertation, I attempt to reconstruct Eliot’s reading of Spinoza as faithfully and comprehensively as possible, by closely analyzing the marginalia in Eliot’s copy of Spinoza’s Opera, housed in the Archive Centre of King’s College, Cambridge. At the same time, the Spinozist context for Eliot’s apprenticeship at Harvard and Oxford (with the intermission of “a romantic year” in Paris) is also to be presented, which is, in fact, a glaring absence in the philosophical branch of Eliot studies. In addition to these positivistic contributions, I also take a theoretical approach so as to demonstrate how illuminative Eliot’s reading of Spinoza can be for understanding the characteristic style (or “ethology”) of Eliot’s reading in general (i.e., Theory), by way of extensively analyzing the unpublished as well as published materials of Eliot’s “academic philosophizing” that culminated in his doctoral dissertation on F. -
Applications of Fuzzy Sets Theory
Francesco Masulli Sushmita Mitra Gabriella Pasi (Eds.) Applications of Fuzzy Sets Theory 7th International Workshop on Fuzzy Logic and Applications, WILF 2007 Camogli, Italy, July 7-10, 2007 Proceedings 4u Springer Table of Contents Advances in Fuzzy Set Theory From Fuzzy Beliefs to Goals 1 Cilia da Costa Pereira and Andrea G.B. Tettamanzi Information Entropy and Co-entropy of Crisp and Fuzzy Granulations 9 Daniela Bianucci, Gianpiero Cattaneo, and Davide Ciucd Possibilistic Linear Programming in Blending and Transportation Planning Problem 20 Bilge Bilgen Measuring the Interpretive Cost in Fuzzy Logic Computations 28 Pascual Julian, Gines Moreno, and Jaime Penabad A Fixed-Point Theorem for Multi-valued Functions with an Application to Multilattice-Based Logic Programming 37 Jesus Medina, Manuel Ojeda-Aciego, and Jorge Ruiz-Calvino Contextualized Possibilistic Networks with Temporal Framework for Knowledge Base Reliability Improvement 45 Marco Grasso, Michele Lavagna, and Guido Sangiovanni Reconstruction of the Matrix of Causal Dependencies for the Fuzzy Inductive Reasoning Method . 53 Guido Sangiovanni and Michele Lavagna Derivative Information from Fuzzy Models 61 Paulo Salgado and Fernando Gouveia The Genetic Development of Uninorm-Based Neurons 69 Angelo Ciaramella, Witold Pedrycz, and Robertfi Tagliaferri Using Visualization Tools to Guide Consensus in Group Decision Making 77 Sergio Alonso, Enrique Herrera- Viedma, Francisco Javier Cabrerizo, Carlos Porcel, and A.G. Lopez-Herrera Reconstruction Methods for Incomplete Fuzzy Preference -
Modality and Factivity: One Perspective on the Meaning of the English Modal Auxiliaries
MODALITY AND FACTIVITY: ONE PERSPECTIVE ON THE MEANING OF THE ENGLISH MODAL AUXILIARIES by NICOLA M,BREWER Submitted in accordance with the requirements for the degree of PhD The University of Leeds Department of Linguistics and Phonetics December 1987 ii ABSTRACT This study concentrates on modality as expressed by the set of modal auxiliaries and seeks to establish that these verbs share semantic as well as syntactic properties by identifying a single core meaning which they share. The relationship between modality and factivity is examined with the aim of gaining an insight into the former, more complex concept. When viewed from this perspective, the defining characteristic of all the modal auxiliary verbs in almost all of their uses is found to be nonfactivity. The meanings expressed by this set of verbs are classified according to a framework derived from modal logic consisting of three basic types of modality each of which relates to a different set of laws or principles; the relative factivity associated with the modal auxiliaries is seen to vary with the nature of modality as defined and classified by this framework. Within each of the three types of modality, a semantic scale is identified and modality is described as a gradable concept for which scalar analysis is appropriate, both within and beyond these three scales. Relative factivity is also shown to vary according to the degree of modality expressed by each of the modal verbs. The nature and degree of modality expressed interact with features of the linguistic (and pragmatic) context to determine the particular factive or a contrafactive interpretation conveyed by a given modal auxiliary token. -
A Thesis Entitled Kidney Compatibility Score Generation for a Donor – Recipient Pair Using Fuzzy Logic by Sampath Kumar Yella
A Thesis entitled Kidney Compatibility Score Generation for a Donor – Recipient pair Using Fuzzy Logic by Sampath Kumar Yellanki Submitted to Graduate Faculty as partial fulfillment of the requirements for The Master of Science Degree in Engineering ___ _______________________________________ Dr. Devinder Kaur, Committee Chair __________________________________________ Dr. Michael Rees, M.D., Committee Member __________________________________________ Dr. Ezzatollah Salari, Committee Member __________________________________________ Dr. Patricia R. Komuniecki, Dean College of Graduate Studies The University of Toledo December 2012 Copyright 2012, Sampath Kumar Yellanki This document is copyrighted material. Under copyright law, no parts of this document may be reproduced without the expressed permission of the author. An Abstract of Kidney Compatibility Score Generation for a Donor – Recipient pair Using Fuzzy Logic by Sampath Kumar Yellanki Submitted to Graduate School as a partial fulfillment of the requirements for The Master of Science Degree in Engineering The University of Toledo December 2012 This thesis, proposes and implements a Fuzzy Logic based Hierarchical model to address the problem of filtering the donor recipient pairs by predicting a kidney compatibility score. Donor – Recipient pair incompatibility is one of the major problems encountered in Renal Transplantation. Kidney Paired Donation is a barter system where the pairs exchange the donor organs to overcome the disadvantage of incompatibility. Identification of such pairs requires a Kidney Transplant Surgeon to evaluate the compatibility of swapped pairs. Unfortunately, such incompatible pairs run into huge numbers which is a herculean task for a surgeon and can prone to human fatigue. This work presents a Hierarchical System developed based on Fuzzy Logic to determine the quality of a Kidney Transplant based on various input parameters.