Neofregeanism and Quantifier Variance∗
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Aristotle's Illicit Quantifier Shift: Is He Guilty Or Innocent
Aristos Volume 1 Issue 2 Article 2 9-2015 Aristotle's Illicit Quantifier Shift: Is He Guilty or Innocent Jack Green The University of Notre Dame Australia Follow this and additional works at: https://researchonline.nd.edu.au/aristos Part of the Philosophy Commons, and the Religious Thought, Theology and Philosophy of Religion Commons Recommended Citation Green, J. (2015). "Aristotle's Illicit Quantifier Shift: Is He Guilty or Innocent," Aristos 1(2),, 1-18. https://doi.org/10.32613/aristos/ 2015.1.2.2 Retrieved from https://researchonline.nd.edu.au/aristos/vol1/iss2/2 This Article is brought to you by ResearchOnline@ND. It has been accepted for inclusion in Aristos by an authorized administrator of ResearchOnline@ND. For more information, please contact [email protected]. Green: Aristotle's Illicit Quantifier Shift: Is He Guilty or Innocent ARISTOTLE’S ILLICIT QUANTIFIER SHIFT: IS HE GUILTY OR INNOCENT? Jack Green 1. Introduction Aristotle’s Nicomachean Ethics (from hereon NE) falters at its very beginning. That is the claim of logicians and philosophers who believe that in the first book of the NE Aristotle mistakenly moves from ‘every action and pursuit aims at some good’ to ‘there is some one good at which all actions and pursuits aim.’1 Yet not everyone is convinced of Aristotle’s seeming blunder.2 In lieu of that, this paper has two purposes. Firstly, it is an attempt to bring some clarity to that debate in the face of divergent opinions of the location of the fallacy; some proposing it lies at I.i.1094a1-3, others at I.ii.1094a18-22, making it difficult to wade through the literature. -
Forcopy-Editing Only
i i “Abstractionism_OUP_for_copyediting” — 2016/4/20 — 11:40 — page 1 — #10 i i 1 Introduction to Abstractionism Philip A. Ebert and Marcus Rossberg 1.1 WHAT IS ABSTRACTIONISM? Abstractionism in philosophy of mathematics has its origins in Gottlob Frege’s logicism—a position Frege developed in the late nineteenth and early twenti- eth century. Frege’s main aim wasfor to reduce copy-editing arithmetic and analysis to only logic in order to provide a secure foundation for mathematical knowledge. As is well known, Frege’s development of logicism failed. The infamous Basic Law V— one of the six basic laws of logic— Frege proposed in his magnum opus Grund- gesetze der Arithmetik—is subject to Russell’s Paradox. The striking feature of Frege’s Basic Law V is that it takes the form of an abstraction principle. The general form of an abstraction principle can by symbolised like this:1 ↵ = β ↵ β §( ) §( ) $ ⇠ where ‘ ’ is a term-forming operator applicable to expression of the type of ↵ § and β, and is an equivalence relation on entities denoted by expressions of ⇠ that type. Accordingly, abstraction principles are biconditionals that feature an equivalence relation on the right-hand side and an identity statement on the left-hand side. The abstracta denoted by the terms featuring in the identity statement on the left are taken to be introduced, in some sense, by the ab- straction principle, giving the equivalence on the right-hand side conceptual priority over them. More on this below. Frege’s ill-fated Basic Law V, involves co-extentionality (of functions) as the relevant equivalence relation on the right-hand side, introducing, what Frege – termed value-ranges, "' " , on the left:2 ( ) 1Here and below, we will omit prefixed universal quantifiers in abstraction principles. -
Scope Ambiguity in Syntax and Semantics
Scope Ambiguity in Syntax and Semantics Ling324 Reading: Meaning and Grammar, pg. 142-157 Is Scope Ambiguity Semantically Real? (1) Everyone loves someone. a. Wide scope reading of universal quantifier: ∀x[person(x) →∃y[person(y) ∧ love(x,y)]] b. Wide scope reading of existential quantifier: ∃y[person(y) ∧∀x[person(x) → love(x,y)]] 1 Could one semantic representation handle both the readings? • ∃y∀x reading entails ∀x∃y reading. ∀x∃y describes a more general situation where everyone has someone who s/he loves, and ∃y∀x describes a more specific situation where everyone loves the same person. • Then, couldn’t we say that Everyone loves someone is associated with the semantic representation that describes the more general reading, and the more specific reading obtains under an appropriate context? That is, couldn’t we say that Everyone loves someone is not semantically ambiguous, and its only semantic representation is the following? ∀x[person(x) →∃y[person(y) ∧ love(x,y)]] • After all, this semantic representation reflects the syntax: In syntax, everyone c-commands someone. In semantics, everyone scopes over someone. 2 Arguments for Real Scope Ambiguity • The semantic representation with the scope of quantifiers reflecting the order in which quantifiers occur in a sentence does not always represent the most general reading. (2) a. There was a name tag near every plate. b. A guard is standing in front of every gate. c. A student guide took every visitor to two museums. • Could we stipulate that when interpreting a sentence, no matter which order the quantifiers occur, always assign wide scope to every and narrow scope to some, two, etc.? 3 Arguments for Real Scope Ambiguity (cont.) • But in a negative sentence, ¬∀x∃y reading entails ¬∃y∀x reading. -
The Logic of Provability
The Logic of Provability Notes by R.J. Buehler Based on The Logic of Provability by George Boolos September 16, 2014 ii Contents Preface v 1 GL and Modal Logic1 1.1 Introduction..........................................1 1.2 Natural Deduction......................................2 1.2.1 ...........................................2 1.2.2 3 ...........................................2 1.3 Definitions and Terms....................................3 1.4 Normality...........................................4 1.5 Refining The System.....................................6 2 Peano Arithmetic 9 2.1 Introduction..........................................9 2.2 Basic Model Theory..................................... 10 2.3 The Theorems of PA..................................... 10 2.3.1 P-Terms........................................ 10 2.3.2Σ,Π, and∆ Formulas................................ 11 2.3.3 G¨odelNumbering................................... 12 2.3.4 Bew(x)........................................ 12 2.4 On the Choice of PA..................................... 13 3 The Box as Bew(x) 15 3.1 Realizations and Translations................................ 15 3.2 The Generalized Diagonal Lemma............................. 16 3.3 L¨ob'sTheorem........................................ 17 3.4 K4LR............................................. 19 3.5 The Box as Provability.................................... 20 3.6 GLS.............................................. 21 4 Model Theory for GL 23 5 Completeness & Decidability of GL 25 6 Canonical Models 27 7 On -
Yesterday's Algorithm: Penrose on the Gödel Argument
Yesterday’s Algorithm: Penrose and the Gödel Argument §1. The Gödel Argument. Roger Penrose is justly famous for his work in physics and mathematics but he is notorious for his endorsement of the Gödel argument (see his 1989, 1994, 1997). This argument, first advanced by J. R. Lucas (in 1961), attempts to show that Gödel’s (first) incompleteness theorem can be seen to reveal that the human mind transcends all algorithmic models of it1. Penrose's version of the argument has been seen to fall victim to the original objections raised against Lucas (see Boolos (1990) and for a particularly intemperate review, Putnam (1994)). Yet I believe that more can and should be said about the argument. Only a brief review is necessary here although I wish to present the argument in a somewhat peculiar form. Let us suppose that the human cognitive abilities that underlie our propensities to acquire mathematical beliefs on the basis of what we call proofs can be given a classical cognitive psychological or computational explanation (henceforth I will often use ‘belief’ as short for ‘belief on the basis of proof’). These propensities are of at least two types: the ability to appreciate chains of logical reasoning but also the ability to recognise ‘elementary proofs’ or, it would perhaps be better to say, elementary truths, such as if a = b and b = c then a = c, without any need or, often, any possibility of proof in the first sense. On this supposition, these propensities are the realization of a certain definite algorithm or program somehow implemented by the neural hardware of the brain. -
Discrete Mathematics, Chapter 1.4-1.5: Predicate Logic
Discrete Mathematics, Chapter 1.4-1.5: Predicate Logic Richard Mayr University of Edinburgh, UK Richard Mayr (University of Edinburgh, UK) Discrete Mathematics. Chapter 1.4-1.5 1 / 23 Outline 1 Predicates 2 Quantifiers 3 Equivalences 4 Nested Quantifiers Richard Mayr (University of Edinburgh, UK) Discrete Mathematics. Chapter 1.4-1.5 2 / 23 Propositional Logic is not enough Suppose we have: “All men are mortal.” “Socrates is a man”. Does it follow that “Socrates is mortal” ? This cannot be expressed in propositional logic. We need a language to talk about objects, their properties and their relations. Richard Mayr (University of Edinburgh, UK) Discrete Mathematics. Chapter 1.4-1.5 3 / 23 Predicate Logic Extend propositional logic by the following new features. Variables: x; y; z;::: Predicates (i.e., propositional functions): P(x); Q(x); R(y); M(x; y);::: . Quantifiers: 8; 9. Propositional functions are a generalization of propositions. Can contain variables and predicates, e.g., P(x). Variables stand for (and can be replaced by) elements from their domain. Richard Mayr (University of Edinburgh, UK) Discrete Mathematics. Chapter 1.4-1.5 4 / 23 Propositional Functions Propositional functions become propositions (and thus have truth values) when all their variables are either I replaced by a value from their domain, or I bound by a quantifier P(x) denotes the value of propositional function P at x. The domain is often denoted by U (the universe). Example: Let P(x) denote “x > 5” and U be the integers. Then I P(8) is true. I P(5) is false. -
The Comparative Predictive Validity of Vague Quantifiers and Numeric
c European Survey Research Association Survey Research Methods (2014) ISSN 1864-3361 Vol.8, No. 3, pp. 169-179 http://www.surveymethods.org Is Vague Valid? The Comparative Predictive Validity of Vague Quantifiers and Numeric Response Options Tarek Al Baghal Institute of Social and Economic Research, University of Essex A number of surveys, including many student surveys, rely on vague quantifiers to measure behaviors important in evaluation. The ability of vague quantifiers to provide valid information, particularly compared to other measures of behaviors, has been questioned within both survey research generally and educational research specifically. Still, there is a dearth of research on whether vague quantifiers or numeric responses perform better in regards to validity. This study examines measurement properties of frequency estimation questions through the assessment of predictive validity, which has been shown to indicate performance of competing question for- mats. Data from the National Survey of Student Engagement (NSSE), a preeminent survey of university students, is analyzed in which two psychometrically tested benchmark scales, active and collaborative learning and student-faculty interaction, are measured through both vague quantifier and numeric responses. Predictive validity is assessed through correlations and re- gression models relating both vague and numeric scales to grades in school and two education experience satisfaction measures. Results support the view that the predictive validity is higher for vague quantifier scales, and hence better measurement properties, compared to numeric responses. These results are discussed in light of other findings on measurement properties of vague quantifiers and numeric responses, suggesting that vague quantifiers may be a useful measurement tool for behavioral data, particularly when it is the relationship between variables that are of interest. -
Propositional Logic, Truth Tables, and Predicate Logic (Rosen, Sections 1.1, 1.2, 1.3) TOPICS
Propositional Logic, Truth Tables, and Predicate Logic (Rosen, Sections 1.1, 1.2, 1.3) TOPICS • Propositional Logic • Logical Operations • Equivalences • Predicate Logic Logic? What is logic? Logic is a truth-preserving system of inference Truth-preserving: System: a set of If the initial mechanistic statements are transformations, based true, the inferred on syntax alone statements will be true Inference: the process of deriving (inferring) new statements from old statements Proposi0onal Logic n A proposion is a statement that is either true or false n Examples: n This class is CS122 (true) n Today is Sunday (false) n It is currently raining in Singapore (???) n Every proposi0on is true or false, but its truth value (true or false) may be unknown Proposi0onal Logic (II) n A proposi0onal statement is one of: n A simple proposi0on n denoted by a capital leJer, e.g. ‘A’. n A negaon of a proposi0onal statement n e.g. ¬A : “not A” n Two proposi0onal statements joined by a connecve n e.g. A ∧ B : “A and B” n e.g. A ∨ B : “A or B” n If a connec0ve joins complex statements, parenthesis are added n e.g. A ∧ (B∨C) Truth Tables n The truth value of a compound proposi0onal statement is determined by its truth table n Truth tables define the truth value of a connec0ve for every possible truth value of its terms Logical negaon n Negaon of proposi0on A is ¬A n A: It is snowing. n ¬A: It is not snowing n A: Newton knew Einstein. n ¬A: Newton did not know Einstein. -
Formal Logic: Quantifiers, Predicates, and Validity
Formal Logic: Quantifiers, Predicates, and Validity CS 130 – Discrete Structures Variables and Statements • Variables: A variable is a symbol that stands for an individual in a collection or set. For example, the variable x may stand for one of the days. We may let x = Monday, x = Tuesday, etc. • We normally use letters at the end of the alphabet as variables, such as x, y, z. • A collection of objects is called the domain of objects. For the above example, the days in the week is the domain of variable x. CS 130 – Discrete Structures 55 Quantifiers • Propositional wffs have rather limited expressive power. E.g., “For every x, x > 0”. • Quantifiers: Quantifiers are phrases that refer to given quantities, such as "for some" or "for all" or "for every", indicating how many objects have a certain property. • Two kinds of quantifiers: – Universal Quantifier: represented by , “for all”, “for every”, “for each”, or “for any”. – Existential Quantifier: represented by , “for some”, “there exists”, “there is a”, or “for at least one”. CS 130 – Discrete Structures 56 Predicates • Predicate: It is the verbal statement which describes the property of a variable. Usually represented by the letter P, the notation P(x) is used to represent some unspecified property or predicate that x may have. – P(x) = x has 30 days. – P(April) = April has 30 days. – What is the truth value of (x)P(x) where x is all the months and P(x) = x has less than 32 days • Combining the quantifier and the predicate, we get a complete statement of the form (x)P(x) or (x)P(x) • The collection of objects is called the domain of interpretation, and it must contain at least one object. -
Quantifiers and Dependent Types
Quantifiers and dependent types Constructive Logic (15-317) Instructor: Giselle Reis Lecture 05 We have largely ignored the quantifiers so far. It is time to give them the proper attention, and: (1) design its rules, (2) show that they are locally sound and complete and (3) give them a computational interpretation. Quantifiers are statements about some formula parametrized by a term. Since we are working with a first-order logic, this term will have a simple type τ, different from the type o of formulas. A second-order logic allows terms to be of type τ ! ι, for simple types τ and ι, and higher-order logics allow terms to have arbitrary types. In particular, one can quantify over formulas in second- and higher-order logics, but not on first-order logics. As a consequence, the principle of induction (in its general form) can be expressed on those logics as: 8P:8n:(P (z) ^ (8x:P (x) ⊃ P (s(x))) ⊃ P (n)) But this comes with a toll, so we will restrict ourselves to first-order in this course. Also, we could have multiple types for terms (many-sorted logic), but since a logic with finitely many types can be reduced to a single-sorted logic, we work with a single type for simplicity, called τ. 1 Rules in natural deduction To design the natural deduction rules for the quantifiers, we will follow the same procedure as for the other connectives and look at their meanings. Some examples will also help on the way. Since we now have a new ele- ment in our language, namely, terms, we will have a new judgment a : τ denoting that the term a has type τ. -
Vagueness and Quantification
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Institutional Research Information System University of Turin Vagueness and Quantification (postprint version) Journal of Philosophical Logic first online, 2015 Andrea Iacona This paper deals with the question of what it is for a quantifier expression to be vague. First it draws a distinction between two senses in which quantifier expressions may be said to be vague, and provides an account of the distinc- tion which rests on independently grounded assumptions. Then it suggests that, if some further assumptions are granted, the difference between the two senses considered can be represented at the formal level. Finally, it out- lines some implications of the account provided which bear on three debated issues concerning quantification. 1 Preliminary clarifications Let us start with some terminology. First of all, the term `quantifier expres- sion' will designate expressions such as `all', `some' or `more than half of', which occurs in noun phrases as determiners. For example, in `all philoso- phers', `all' occurs as a determiner of `philosophers', and the same position can be occupied by `some' or `more than half of'. This paper focuses on simple quantified sentences containing quantifier expressions so understood, such as the following: (1) All philosophers are rich (2) Some philosophers are rich (3) More than half of philosophers are rich Although this is a very restricted class of sentences, it is sufficiently repre- sentative to deserve consideration on its own. In the second place, the term `domain' will designate the totality of things over which a quantifier expression is taken to range. -
Modal Realism and Metaphysical Nihilism Gonzalo Rodriguez-Pereyra
Mind, 2004, 113 (452), pp. 683-704. Modal Realism and Metaphysical Nihilism Gonzalo Rodriguez-Pereyra 1. Modal Realism is an ontological doctrine whose most characteristic thesis is that there exist non-actual possible individuals which are of a kind with actual individuals. That is, there are non-actual chairs, tables, donkeys, people and stars. As developed by David Lewis, Modal Realism is accompanied by a cluster of theses, for instance that all possible worlds (i.e. actual and non-actual possible worlds) exist, that all possible worlds are of a kind, that possible worlds are maximal sums of spatiotemporally related objects, and that a sentence like ‘it is possible that p’ is true just in case there is a possible world where p. Modal Realism has, among its theoretical benefits, a reductive account, within limits, of modality. Among its costs, it counts clashing with several intuitive views. One of these is the view that it is possible that nothing exists, that is, that there could have been nothing. Lewis saw that his Modal Realism is incompatible with this view (Lewis 1986, p. 73 and Lewis 1991, p. 13, footnote 6). Another closely related intuitive view with which Lewis’s Modal Realism is incompatible is what has recently been called Metaphysical Nihilism, namely that it is possible that nothing concrete exists, that is, that there could have been nothing concrete. Metaphysical Nihilism is not only intuitive, there are persuasive arguments in its favour. So, other things being equal, to be compatible with Metaphysical Nihilism is a theoretical virtue. In this paper I shall argue that Modal Realism can be modified so as to be compatible with Metaphysical Nihilism.