Models and Theories of Lambda Calculus Giulio Manzonetto
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Russell's 1903 – 1905 Anticipation of the Lambda Calculus
HISTORY AND PHILOSOPHY OF LOGIC, 24 (2003), 15–37 Russell’s 1903 – 1905 Anticipation of the Lambda Calculus KEVIN C. KLEMENT Philosophy Dept, Univ. of Massachusetts, 352 Bartlett Hall, 130 Hicks Way, Amherst, MA 01003, USA Received 22 July 2002 It is well known that the circumflex notation used by Russell and Whitehead to form complex function names in Principia Mathematica played a role in inspiring Alonzo Church’s ‘Lambda Calculus’ for functional logic developed in the 1920s and 1930s. Interestingly, earlier unpublished manuscripts written by Russell between 1903 and 1905—surely unknown to Church—contain a more extensive anticipation of the essential details of the Lambda Calculus. Russell also anticipated Scho¨ nfinkel’s Combinatory Logic approach of treating multi- argument functions as functions having other functions as value. Russell’s work in this regard seems to have been largely inspired by Frege’s theory of functions and ‘value-ranges’. This system was discarded by Russell due to his abandonment of propositional functions as genuine entities as part of a new tack for solving Rus- sell’s paradox. In this article, I explore the genesis and demise of Russell’s early anticipation of the Lambda Calculus. 1. Introduction The Lambda Calculus, as we know it today, was initially developed by Alonzo Church in the late 1920s and 1930s (see, e.g. Church 1932, 1940, 1941, Church and Rosser 1936), although it built heavily on work done by others, perhaps most notably, the early works on Combinatory Logic by Moses Scho¨ nfinkel (see, e.g. his 1924) and Haskell Curry (see, e.g. -
Lecture Notes on the Lambda Calculus 2.4 Introduction to Β-Reduction
2.2 Free and bound variables, α-equivalence. 8 2.3 Substitution ............................. 10 Lecture Notes on the Lambda Calculus 2.4 Introduction to β-reduction..................... 12 2.5 Formal definitions of β-reduction and β-equivalence . 13 Peter Selinger 3 Programming in the untyped lambda calculus 14 3.1 Booleans .............................. 14 Department of Mathematics and Statistics 3.2 Naturalnumbers........................... 15 Dalhousie University, Halifax, Canada 3.3 Fixedpointsandrecursivefunctions . 17 3.4 Other data types: pairs, tuples, lists, trees, etc. ....... 20 Abstract This is a set of lecture notes that developed out of courses on the lambda 4 The Church-Rosser Theorem 22 calculus that I taught at the University of Ottawa in 2001 and at Dalhousie 4.1 Extensionality, η-equivalence, and η-reduction. 22 University in 2007 and 2013. Topics covered in these notes include the un- typed lambda calculus, the Church-Rosser theorem, combinatory algebras, 4.2 Statement of the Church-Rosser Theorem, and some consequences 23 the simply-typed lambda calculus, the Curry-Howard isomorphism, weak 4.3 Preliminary remarks on the proof of the Church-Rosser Theorem . 25 and strong normalization, polymorphism, type inference, denotational se- mantics, complete partial orders, and the language PCF. 4.4 ProofoftheChurch-RosserTheorem. 27 4.5 Exercises .............................. 32 Contents 5 Combinatory algebras 34 5.1 Applicativestructures. 34 1 Introduction 1 5.2 Combinatorycompleteness . 35 1.1 Extensionalvs. intensionalviewoffunctions . ... 1 5.3 Combinatoryalgebras. 37 1.2 Thelambdacalculus ........................ 2 5.4 The failure of soundnessforcombinatoryalgebras . .... 38 1.3 Untypedvs.typedlambda-calculi . 3 5.5 Lambdaalgebras .......................... 40 1.4 Lambdacalculusandcomputability . 4 5.6 Extensionalcombinatoryalgebras . 44 1.5 Connectionstocomputerscience . -
Haskell Before Haskell. an Alternative Lesson in Practical Logics of the ENIAC.∗
Haskell before Haskell. An alternative lesson in practical logics of the ENIAC.∗ Liesbeth De Mol† Martin Carl´e‡ Maarten Bullynck§ January 21, 2011 Abstract This article expands on Curry’s work on how to implement the prob- lem of inverse interpolation on the ENIAC (1946) and his subsequent work on developing a theory of program composition (1948-1950). It is shown that Curry’s hands-on experience with the ENIAC on the one side and his acquaintance with systems of formal logic on the other, were conduc- tive to conceive a compact “notation for program construction” which in turn would be instrumental to a mechanical synthesis of programs. Since Curry’s systematic programming technique pronounces a critique of the Goldstine-von Neumann style of coding, his “calculus of program com- position”not only anticipates automatic programming but also proposes explicit hardware optimisations largely unperceived by computer history until Backus famous ACM Turing Award lecture (1977). This article frames Haskell B. Curry’s development of a general approach to programming. Curry’s work grew out of his experience with the ENIAC in 1946, took shape by his background as a logician and finally materialised into two lengthy reports (1948 and 1949) that describe what Curry called the ‘composition of programs’. Following up to the concise exposition of Curry’s approach that we gave in [28], we now elaborate on technical details, such as diagrams, tables and compiler-like procedures described in Curry’s reports. We also give a more in-depth discussion of the transition from Curry’s concrete, ‘hands-on’ experience with the ENIAC to a general theory of combining pro- grams in contrast to the Goldstine-von Neumann method of tackling the “coding and planning of problems” [18] for computers with the help of ‘flow-charts’. -
Category Theory and Lambda Calculus
Category Theory and Lambda Calculus Mario Román García Trabajo Fin de Grado Doble Grado en Ingeniería Informática y Matemáticas Tutores Pedro A. García-Sánchez Manuel Bullejos Lorenzo Facultad de Ciencias E.T.S. Ingenierías Informática y de Telecomunicación Granada, a 18 de junio de 2018 Contents 1 Lambda calculus 13 1.1 Untyped λ-calculus . 13 1.1.1 Untyped λ-calculus . 14 1.1.2 Free and bound variables, substitution . 14 1.1.3 Alpha equivalence . 16 1.1.4 Beta reduction . 16 1.1.5 Eta reduction . 17 1.1.6 Confluence . 17 1.1.7 The Church-Rosser theorem . 18 1.1.8 Normalization . 20 1.1.9 Standardization and evaluation strategies . 21 1.1.10 SKI combinators . 22 1.1.11 Turing completeness . 24 1.2 Simply typed λ-calculus . 24 1.2.1 Simple types . 25 1.2.2 Typing rules for simply typed λ-calculus . 25 1.2.3 Curry-style types . 26 1.2.4 Unification and type inference . 27 1.2.5 Subject reduction and normalization . 29 1.3 The Curry-Howard correspondence . 31 1.3.1 Extending the simply typed λ-calculus . 31 1.3.2 Natural deduction . 32 1.3.3 Propositions as types . 34 1.4 Other type systems . 35 1.4.1 λ-cube..................................... 35 2 Mikrokosmos 38 2.1 Implementation of λ-expressions . 38 2.1.1 The Haskell programming language . 38 2.1.2 De Bruijn indexes . 40 2.1.3 Substitution . 41 2.1.4 De Bruijn-terms and λ-terms . 42 2.1.5 Evaluation . -
Plurals and Mereology
Journal of Philosophical Logic (2021) 50:415–445 https://doi.org/10.1007/s10992-020-09570-9 Plurals and Mereology Salvatore Florio1 · David Nicolas2 Received: 2 August 2019 / Accepted: 5 August 2020 / Published online: 26 October 2020 © The Author(s) 2020 Abstract In linguistics, the dominant approach to the semantics of plurals appeals to mere- ology. However, this approach has received strong criticisms from philosophical logicians who subscribe to an alternative framework based on plural logic. In the first part of the article, we offer a precise characterization of the mereological approach and the semantic background in which the debate can be meaningfully reconstructed. In the second part, we deal with the criticisms and assess their logical, linguistic, and philosophical significance. We identify four main objections and show how each can be addressed. Finally, we compare the strengths and shortcomings of the mereologi- cal approach and plural logic. Our conclusion is that the former remains a viable and well-motivated framework for the analysis of plurals. Keywords Mass nouns · Mereology · Model theory · Natural language semantics · Ontological commitment · Plural logic · Plurals · Russell’s paradox · Truth theory 1 Introduction A prominent tradition in linguistic semantics analyzes plurals by appealing to mere- ology (e.g. Link [40, 41], Landman [32, 34], Gillon [20], Moltmann [50], Krifka [30], Bale and Barner [2], Chierchia [12], Sutton and Filip [76], and Champollion [9]).1 1The historical roots of this tradition include Leonard and Goodman [38], Goodman and Quine [22], Massey [46], and Sharvy [74]. Salvatore Florio [email protected] David Nicolas [email protected] 1 Department of Philosophy, University of Birmingham, Birmingham, United Kingdom 2 Institut Jean Nicod, Departement´ d’etudes´ cognitives, ENS, EHESS, CNRS, PSL University, Paris, France 416 S. -
Computational Lambda-Calculus and Monads
Computational lambda-calculus and monads Eugenio Moggi∗ LFCS Dept. of Comp. Sci. University of Edinburgh EH9 3JZ Edinburgh, UK [email protected] October 1988 Abstract The λ-calculus is considered an useful mathematical tool in the study of programming languages, since programs can be identified with λ-terms. However, if one goes further and uses βη-conversion to prove equivalence of programs, then a gross simplification1 is introduced, that may jeopardise the applicability of theoretical results to real situations. In this paper we introduce a new calculus based on a categorical semantics for computations. This calculus provides a correct basis for proving equivalence of programs, independent from any specific computational model. 1 Introduction This paper is about logics for reasoning about programs, in particular for proving equivalence of programs. Following a consolidated tradition in theoretical computer science we identify programs with the closed λ-terms, possibly containing extra constants, corresponding to some features of the programming language under con- sideration. There are three approaches to proving equivalence of programs: • The operational approach starts from an operational semantics, e.g. a par- tial function mapping every program (i.e. closed term) to its resulting value (if any), which induces a congruence relation on open terms called operational equivalence (see e.g. [Plo75]). Then the problem is to prove that two terms are operationally equivalent. ∗On leave from Universit`a di Pisa. Research partially supported by the Joint Collaboration Contract # ST2J-0374-C(EDB) of the EEC 1programs are identified with total functions from values to values 1 • The denotational approach gives an interpretation of the (programming) lan- guage in a mathematical structure, the intended model. -
Continuation Calculus
Eindhoven University of Technology MASTER Continuation calculus Geron, B. Award date: 2013 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain Continuation calculus Master’s thesis Bram Geron Supervised by Herman Geuvers Assessment committee: Herman Geuvers, Hans Zantema, Alexander Serebrenik Final version Contents 1 Introduction 3 1.1 Foreword . 3 1.2 The virtues of continuation calculus . 4 1.2.1 Modeling programs . 4 1.2.2 Ease of implementation . 5 1.2.3 Simplicity . 5 1.3 Acknowledgements . 6 2 The calculus 7 2.1 Introduction . 7 2.2 Definition of continuation calculus . 9 2.3 Categorization of terms . 10 2.4 Reasoning with CC terms . -
Strategic Maneuvering in Mathematical Proofs
CORE Metadata, citation and similar papers at core.ac.uk Provided by Springer - Publisher Connector Argumentation (2008) 22:453–468 DOI 10.1007/s10503-008-9098-7 Strategic Maneuvering in Mathematical Proofs Erik C. W. Krabbe Published online: 6 May 2008 Ó The Author(s) 2008 Abstract This paper explores applications of concepts from argumentation theory to mathematical proofs. Note is taken of the various contexts in which proofs occur and of the various objectives they may serve. Examples of strategic maneuvering are discussed when surveying, in proofs, the four stages of argumentation distin- guished by pragma-dialectics. Derailments of strategies (fallacies) are seen to encompass more than logical fallacies and to occur both in alleged proofs that are completely out of bounds and in alleged proofs that are at least mathematical arguments. These considerations lead to a dialectical and rhetorical view of proofs. Keywords Argumentation Á Blunder Á Fallacy Á False proof Á Mathematics Á Meno Á Pragma-dialectics Á Proof Á Saccheri Á Strategic maneuvering Á Tarski 1 Introduction The purport of this paper1 is to show that concepts from argumentation theory can be fruitfully applied to contexts of mathematical proof. As a source for concepts to be tested I turn to pragma-dialectics: both to the Standard Theory and to the Integrated Theory. The Standard Theory has been around for a long time and achieved its final formulation in 2004 (Van Eemeren and Grootendorst 1984, 1992, 2004). According to the Standard Theory argumentation is a communication process aiming at 1 The paper was first presented at the NWO-conference on ‘‘Strategic Manoeuvring in Institutionalised Contexts’’, University of Amsterdam, 26 October 2007. -
Semantic Theory Week 4 – Lambda Calculus
Semantic Theory Week 4 – Lambda Calculus Noortje Venhuizen University of Groningen/Universität des Saarlandes Summer 2015 1 Compositionality The principle of compositionality: “The meaning of a complex expression is a function of the meanings of its parts and of the syntactic rules by which they are combined” (Partee et al.,1993) Compositional semantics construction: • compute meaning representations for sub-expressions • combine them to obtain a meaning representation for a complex expression. Problematic case: “Not smoking⟨e,t⟩ is healthy⟨⟨e,t⟩,t⟩” ! 2 Lambda abstraction λ-abstraction is an operation that takes an expression and “opens” specific argument positions. Syntactic definition: If α is in WEτ, and x is in VARσ then λx(α) is in WE⟨σ, τ⟩ • The scope of the λ-operator is the smallest WE to its right. Wider scope must be indicated by brackets. • We often use the “dot notation” λx.φ indicating that the λ-operator takes widest possible scope (over φ). 3 Interpretation of Lambda-expressions M,g If α ∈ WEτ and v ∈ VARσ, then ⟦λvα⟧ is that function f : Dσ → Dτ M,g[v/a] such that for all a ∈ Dσ, f(a) = ⟦α⟧ If the λ-expression is applied to some argument, we can simplify the interpretation: • ⟦λvα⟧M,g(A) = ⟦α⟧M,g[v/A] Example: “Bill is a non-smoker” ⟦λx(¬S(x))(b’)⟧M,g = 1 iff ⟦λx(¬S(x))⟧M,g(⟦b’⟧M,g) = 1 iff ⟦¬S(x)⟧M,g[x/⟦b’⟧M,g] = 1 iff ⟦S(x)⟧M,g[x/⟦b’⟧M,g] = 0 iff ⟦S⟧M,g[x/⟦b’⟧M,g](⟦x⟧M,g[x/⟦b’⟧M,g]) = 0 iff VM(S)(VM(b’)) = 0 4 β-Reduction ⟦λv(α)(β)⟧M,g = ⟦α⟧M,g[v/⟦β⟧M,g] ⇒ all (free) occurrences of the λ-variable in α get the interpretation of β as value. -
Labelled Λ-Calculi with Explicit Copy and Erase
Labelled λ-calculi with Explicit Copy and Erase Maribel Fern´andez, Nikolaos Siafakas King’s College London, Dept. Computer Science, Strand, London WC2R 2LS, UK [maribel.fernandez, nikolaos.siafakas]@kcl.ac.uk We present two rewriting systems that define labelled explicit substitution λ-calculi. Our work is motivated by the close correspondence between L´evy’s labelled λ-calculus and paths in proof-nets, which played an important role in the understanding of the Geometry of Interaction. The structure of the labels in L´evy’s labelled λ-calculus relates to the multiplicative information of paths; the novelty of our work is that we design labelled explicit substitution calculi that also keep track of exponential information present in call-by-value and call-by-name translations of the λ-calculus into linear logic proof-nets. 1 Introduction Labelled λ-calculi have been used for a variety of applications, for instance, as a technology to keep track of residuals of redexes [6], and in the context of optimal reduction, using L´evy’s labels [14]. In L´evy’s work, labels give information about the history of redex creation, which allows the identification and classification of copied β-redexes. A different point of view is proposed in [4], where it is shown that a label is actually encoding a path in the syntax tree of a λ-term. This established a tight correspondence between the labelled λ-calculus and the Geometry of Interaction interpretation of cut elimination in linear logic proof-nets [13]. Inspired by L´evy’s labelled λ-calculus, we define labelled λ-calculi where the labels attached to terms capture reduction traces. -
Lambda Λ Calculus
Lambda λ Calculus Maria Raynor, Katie Kessler, Michael von der Lippe December 5th, 2016 COSC 440 General Intro ❏ 1930s - Alonzo Church ❏ 1935 - Kleene and Rosser say inconsistent ❏ 1936 - published lambda calculus relevant to computation, untyped ❏ 1940 - published typed lambda calculus ❏ Language that expresses function abstraction and application Definition “A formal system in mathematical logic for expressing computation based on abstraction and application using variable binding and substitution” ∈ ● Variables v1, v2, v3, ... , vn Var ● Parenthesis () ● Functions-take 1 argument,return 1 value Syntax Everything is an expression 1. E ID 2. E λ ID. E 3. E E E 4. E (E) Examples and Non-Examples ❏ x ❏ λ x . x ❏ x y ❏ λ λ x . y ❏ λ x . y z What about ambiguous syntax? There is a set of disambiguation rules: ❏ E E E is left associative ❏ x y z becomes (x y) z ❏ w x y z becomes ((w x) y) z ❏ λ ID . E extends as far right as possible ❏ λ x . x y becomes λ x . (x y) ❏ λ x . λ x . x becomes λ x . (λ x . x) ❏ λ a . λ b . λ c . a b c becomes λ a . (λ b . (λ c . ((a b) c))) Simple Examples Church Booleans: if p then x, else y ❏ TRUE = λ x . λ y . x ❏ FALSE = λ x . λ y . y Identity function λ x . x Constant function λ x . k What about λ x . + x 1? How it relates to theoretical computer science Mathematical Composition vs Machine Composition a. Lambda calculus is mathematical by nature. b. Turing Machines are difficult to applied to programming because there is no natural notation for machines Curry-Howard Correspondence This foundation in math allows us to establish functional programming proofs of formal logic. -
Hunting the Story of Moses Schönfinkel
Where Did Combinators Come From? Hunting the Story of Moses Schönfinkel Stephen Wolfram* Combinators were a key idea in the development of mathematical logic and the emergence of the concept of universal computation. They were introduced on December 7, 1920, by Moses Schönfinkel. This is an exploration of the personal story and intellectual context of Moses Schönfinkel, including extensive new research based on primary sources. December 7, 1920 On Tuesday, December 7, 1920, the Göttingen Mathematics Society held its regular weekly meeting—at which a 32-year-old local mathematician named Moses Schönfinkel with no known previous mathematical publications gave a talk entitled “Elemente der Logik” (“Elements of Logic”). This piece is included in S. Wolfram (2021), Combinators: A Centennial View, Wolfram Media. (wolframmedia.com/products/combinators-a-centennial-view.html) and accompanies arXiv:2103.12811 and arXiv:2102.09658. Originally published December 7, 2020 *Email: [email protected] 2 | Stephen Wolfram A hundred years later what was presented in that talk still seems in many ways alien and futuristic—and for most people almost irreducibly abstract. But we now realize that that talk gave the first complete formalism for what is probably the single most important idea of this past century: the idea of universal computation. Sixteen years later would come Turing machines (and lambda calculus). But in 1920 Moses Schönfinkel presented what he called “building blocks of logic”—or what we now call “combinators”—and then proceeded to show that by appropriately combining them one could effectively define any function, or, in modern terms, that they could be used to do universal computation.