PLC type system. if (x : t) 2 G. G ` x : t. G, x : t 1 ` M : t 2 G ` lx : t 1 (M) : t 1 t 2. if x /2 dom(g)
|
|
- Melanie Shelton
- 5 years ago
- Views:
Transcription
1 PLC type system (var) G ` x : t if (x : t) 2 G (fn) G, x : t 1 ` M : t 2 G ` lx : t 1 (M) : t 1 t 2 if x /2 dom(g) (app) G ` M : t 1 t 2 G ` M 0 : t 1 G ` MM 0 : t 2 (gen) G ` M : t G ` La (M) : 8a (t) if a /2 ftv(g) (spec) G ` M : 8a (t 1 ) G ` M t 2 : t 1 [t 2 /a]
2
3 Functions on types In PLC, La (M) is an anonymous notation for the function F mapping each type t to the value of M[t/a] (of some particular type).
4 Functions on types In PLC, La (M) is an anonymous notation for the function F mapping each type t to the value of M[t/a] (of some particular type). F t denotes the result of applying such a function to a type.
5 Functions on types In PLC, La (M) is an anonymous notation for the function F mapping each type t to the value of M[t/a] (of some particular type). F t denotes the result of applying such a function to a type. Computation in PLC involves beta-reduction for such functions on types (La (M)) t! M[t/a]
6 Functions on types In PLC, La (M) is an anonymous notation for the function F mapping each type t to the value of M[t/a] (of some particular type). F t denotes the result of applying such a function to a type. Computation in PLC involves beta-reduction for such functions on types (La (M)) t! M[t/a] as well as the usual form of beta-reduction from l-calculus (lx : t (M 1 )) M 2! M 1 [M 2 /x]
7 Beta-reduction of PLC expressions M beta-reduces to M 0 in one step, M! M 0 means M 0 can be obtained from M (up to alpha-conversion, of course) by replacing a subexpression which is a redex by its corresponding reduct. The redex-reduct pairs are of two forms: (lx : t (M 1 )) M 2! M 1 [M 2 /x] (La (M)) t! M[t/a]
8
9
10
11
12
13
14
15 Beta-reduction of PLC expressions M beta-reduces to M 0 in one step, M! M 0 means M 0 can be obtained from M (up to alpha-conversion, of course) by replacing a subexpression which is a redex by its corresponding reduct. The redex-reduct pairs are of two forms: (lx : t (M 1 )) M 2! M 1 [M 2 /x] (La (M)) t! M[t/a] M! M 0 indicates a chain of finitely many beta-reductions.
16 Beta-reduction of PLC expressions M beta-reduces to M 0 in one step, M! M 0 means M 0 can be obtained from M (up to alpha-conversion, of course) by replacing a subexpression which is a redex by its corresponding reduct. The redex-reduct pairs are of two forms: (lx : t (M 1 )) M 2! M 1 [M 2 /x] (La (M)) t! M[t/a] M! M 0 indicates a chain of finitely many beta-reductions. ( possibly zero which just means M and M 0 are alpha-convertible).
17 Beta-reduction of PLC expressions M beta-reduces to M 0 in one step, M! M 0 means M 0 can be obtained from M (up to alpha-conversion, of course) by replacing a subexpression which is a redex by its corresponding reduct. The redex-reduct pairs are of two forms: (lx : t (M 1 )) M 2! M 1 [M 2 /x] (La (M)) t! M[t/a] M! M 0 indicates a chain of finitely many beta-reductions. ( possibly zero which just means M and M 0 are alpha-convertible). M is in beta-normal form if it contains no redexes.
18 Properties of PLC beta-reduction on typeable expressions Suppose G ` M : t is provable in the PLC type system. Then the following properties hold: Subject Reduction. provable typing. If M! M 0,thenG ` M 0 : t is also a
19
20
21
22
23
24
25
26 Properties of PLC beta-reduction on typeable expressions Suppose G ` M : t is provable in the PLC type system. Then the following properties hold: Subject Reduction. provable typing. If M! M 0,thenG ` M 0 : t is also a Church Rosser Property. If M! M 1 and M! M 2,then there is M 0 with M 1! M 0 and M 2! M 0.
27
28 Properties of PLC beta-reduction on typeable expressions Suppose G ` M : t is provable in the PLC type system. Then the following properties hold: Subject Reduction. provable typing. If M! M 0,thenG ` M 0 : t is also a Church Rosser Property. If M! M 1 and M! M 2,then there is M 0 with M 1! M 0 and M 2! M 0. Strong Normalisation Property. There is no infinite chain M! M 1! M 2!... of beta-reductions starting from M.
29 Properties of PLC beta-reduction on typeable expressions Suppose G ` M : t is provable in the PLC type system. Then the following properties hold: Subject Reduction. provable typing. If M! M 0,thenG ` M 0 : t is also a Church Rosser Property. If M! M 1 and M! M 2,then there is M 0 with M 1! M 0 and M 2! M 0. Strong Normalisation Property. There is no infinite chain M! M 1! M 2!... of beta-reductions starting from M.
30
31
32
33 PLC beta-conversion, = b By definition, M = b M 0 holds if there is a finite chain
34 PLC beta-conversion, = b By definition, M = b M 0 holds if there is a finite chain M M 0 where each is either! or, i.e. a beta-reduction in one direction or the other.
35 PLC beta-conversion, = b By definition, M = b M 0 holds if there is a finite chain M M 0 where each is either! or, i.e. a beta-reduction in one direction or the other. (A chain of length zero is allowed in which case M and M 0 are equal, up to alpha-conversion, of course.)
36 PLC beta-conversion, = b By definition, M = b M 0 holds if there is a finite chain M M 0 where each is either! or, i.e. a beta-reduction in one direction or the other. (A chain of length zero is allowed in which case M and M 0 are equal, up to alpha-conversion, of course.) Church Rosser + Strong Normalisation properties imply that, for typeable PLC expressions, M = b M 0 holds if and only if there is some beta-normal form N with M! N M 0
37
38 Polymorphic booleans bool, 8a (a (a a))
39
40 Polymorphic booleans bool, 8a (a (a a)) True, La (lx 1 : a, x 2 : a (x 1 )) False, La (lx 1 : a, x 2 : a (x 2 ))
41 Polymorphic booleans bool, 8a (a (a a)) True, La (lx 1 : a, x 2 : a (x 1 )) False, La (lx 1 : a, x 2 : a (x 2 )) if, La (lb : bool, x 1 : a, x 2 : a (b a x 1 x 2 ))
42
43
44
45
46
47
48
M ::= x M M x = M M :: M x :: x
Mini-ML expressions M ::= x variable true boolean values false if M then M else M conditional lx (M) function abstraction MM function application let x = M in M local declaration nil nil list M :: M list
More informationLambda-Calculus (cont): Fixpoints, Naming. Lecture 10 CS 565 2/10/08
Lambda-Calculus (cont): Fixpoints, Naming Lecture 10 CS 565 2/10/08 Recursion and Divergence Consider the application: Ω ((λ x. (x x)) (λ x. (x x))) Ω evaluates to itself in one step. It has no normal
More informationSimply Typed Lambda Calculus
Simply Typed Lambda Calculus Language (ver1) Lambda calculus with boolean values t ::= x variable x : T.t abstraction tt application true false boolean values if ttt conditional expression Values v ::=
More informationCOMP6463: λ-calculus
COMP6463: λ-calculus 1. Basics Michael Norrish Michael.Norrish@nicta.com.au Canberra Research Lab., NICTA Semester 2, 2015 Outline Introduction Lambda Calculus Terms Alpha Equivalence Substitution Dynamics
More informationThe Lambda Calculus. Stephen A. Edwards. Fall Columbia University
The Lambda Calculus Stephen A. Edwards Columbia University Fall 2014 Lambda Expressions Function application written in prefix form. Add four and five is (+ 4 5) Evaluation: select a redex and evaluate
More information1. Object Calculus. Object calculus is to OO languages what lambda calculus is to functional languages
1. Object Calculus In this section we will introduce a calculus of objects that gives a simple but powerful mathematical model to study object based languages. Object calculus is to OO languages what lambda
More informationCS 4110 Programming Languages & Logics. Lecture 16 Programming in the λ-calculus
CS 4110 Programming Languages & Logics Lecture 16 Programming in the λ-calculus 30 September 2016 Review: Church Booleans 2 We can encode TRUE, FALSE, and IF, as: TRUE λx. λy. x FALSE λx. λy. y IF λb.
More informationTyped Arithmetic Expressions
Typed Arithmetic Expressions CS 550 Programming Languages Jeremy Johnson TAPL Chapters 3 and 5 1 Types and Safety Evaluation rules provide operational semantics for programming languages. The rules provide
More informationType Systems. Today. 1. What is the Lambda Calculus. 1. What is the Lambda Calculus. Lecture 2 Oct. 27th, 2004 Sebastian Maneth
Today 1. What is the Lambda Calculus? Type Systems 2. Its Syntax and Semantics 3. Church Booleans and Church Numerals 4. Lazy vs. Eager Evaluation (call-by-name vs. call-by-value) Lecture 2 Oct. 27th,
More informationFunctional Database Query Languages as. Typed Lambda Calculi of Fixed Order. Gerd G. Hillebrand and Paris C. Kanellakis
Functional Database Query Languages as Typed Lambda Calculi of Fixed Order Gerd G. Hillebrand and Paris C. Kanellakis Department of Computer Science Brown University Providence, Rhode Island 02912 CS-94-26
More informationSmall families. (at INRIA with Gérard and in the historical λ-calculus) Jean-Jacques Lévy
Small families (at INRIA with Gérard and in the historical λ-calculus) Jean-Jacques Lévy INRIA Rocquencourt and Microsoft Research-INRIA Joint Centre June 22, 2007 caml years coq sixty years is 31,557,600
More informationType Systems. Lecture 2 Oct. 27th, 2004 Sebastian Maneth.
Type Systems Lecture 2 Oct. 27th, 2004 Sebastian Maneth http://lampwww.epfl.ch/teaching/typesystems/2004 Today 1. What is the Lambda Calculus? 2. Its Syntax and Semantics 3. Church Booleans and Church
More information3.2 Equivalence, Evaluation and Reduction Strategies
3.2 Equivalence, Evaluation and Reduction Strategies The λ-calculus can be seen as an equational theory. More precisely, we have rules i.e., α and reductions, for proving that two terms are intensionally
More informationReview. Principles of Programming Languages. Equality. The Diamond Property. The Church-Rosser Theorem. Corollaries. CSE 230: Winter 2007
CSE 230: Winter 2007 Principles of Programming Languages Lecture 12: The λ-calculus Ranjit Jhala UC San Diego Review The lambda calculus is a calculus of functions: e := x λx. e e 1 e 2 Several evaluation
More informationFIXED POINTS AND EXTENSIONALITY IN TYPED FUNCTIONAL PROGRAMMING LANGUAGES
FIXED POINTS AND EXTENSIONALITY IN TYPED FUNCTIONAL PROGRAMMING LANGUAGES a dissertation submitted to the department of computer science and the committee on graduate studies of stanford university in
More informationTHE UNIVERSITY OF CALGARY FACULTY OF SCIENCE FINAL EXAMINATION COMPUTER SCIENCE 521
P. 1 of 7 THE UNIVERSITY OF CALGARY FACULTY OF SCIENCE FINAL EXAMINATION COMPUTER SCIENCE 521 December, 2014 Time: 2 hrs. Instructions The exam contains questions totaling 100 points. Answer all questions.
More informationProgramming Languages
CSE 230: Winter 2010 Principles of Programming Languages Lecture 10: Programming in λ-calculusc l l Ranjit Jhala UC San Diego Review The lambda calculus is a calculus of functions: e := x λx. e e 1 e 2
More informationA Recursion Combinator for Nominal Datatypes Implemented in Isabelle/HOL
A Recursion Combinator for Nominal Datatypes Implemented in Isabelle/HOL Christian Urban and Stefan Berghofer Technische Universität München {urbanc,berghofe}@in.tum.de Abstract. The nominal datatype package
More informationCMSC 336: Type Systems for Programming Languages Lecture 10: Polymorphism Acar & Ahmed 19 February 2008
CMSC 336: Type Systems for Programming Languages Lecture 10: Polymorphism Acar & Ahmed 19 February 2008 Contents 1 Polymorphism 1 2 Polymorphic λ-calculus: Syntax 1 3 Static Semantics 2 4 Dynamic Semantics
More informationOperationally-Based Theories of Program Equivalence
Operationally-Based Theories of Program Equivalence Andrew Pitts Contents 1 Introduction : : : : : : : : : : : : : : : : : : : : : : : : : : : : 241 2 Contextual Equivalence : : : : : : : : : : : : : :
More informationCOSE312: Compilers. Lecture 14 Semantic Analysis (4)
COSE312: Compilers Lecture 14 Semantic Analysis (4) Hakjoo Oh 2017 Spring Hakjoo Oh COSE312 2017 Spring, Lecture 14 May 8, 2017 1 / 30 Denotational Semantics In denotational semantics, we are interested
More informationHenk Barendregt and Freek Wiedijk assisted by Andrew Polonsky. Radboud University Nijmegen. March 5, 2012
1 λ Henk Barendregt and Freek Wiedijk assisted by Andrew Polonsky Radboud University Nijmegen March 5, 2012 2 reading Femke van Raamsdonk Logical Verification Course Notes Herman Geuvers Introduction to
More informationLecture 3. Lambda calculus. Iztok Savnik, FAMNIT. October, 2015.
Lecture 3 Lambda calculus Iztok Savnik, FAMNIT October, 2015. 1 Literature Henk Barendregt, Erik Barendsen, Introduction to Lambda Calculus, March 2000. Lambda calculus Leibniz had as ideal the following
More informationSimply Typed λ-calculus
Simply Typed λ-calculus Lecture 2 Jeremy Dawson The Australian National University Semester 2, 2017 Jeremy Dawson (ANU) COMP4630,Lecture 2 Semester 2, 2017 1 / 19 Outline Properties of Curry type system:
More informationSimply Typed Lambda-Calculi (II)
THEORY AND PRACTICE OF FUNCTIONAL PROGRAMMING Simply Typed Lambda-Calculi (II) Dr. ZHANG Yu Institute of Software, Chinese Academy of Sciences Fall term, 2011 GUCAS, Beijing Introduction PCF Programming
More informationFirst Order Predicate Logic (FOL) Formulas
1 First Order Predicate Logic (FOL) Formulas Let Σ = (S, Ω) be a signature. P L(Σ) is the smallest set with (i) t = u P L(Σ), (ii) (iii) (iv) if X set of variables for Σ, s S, t, u T Σ(X),s (ϕ 1 ϕ 2 )
More informationPolymorphism, Subtyping, and Type Inference in MLsub
Polymorphism, Subtyping, and Type Inference in MLsub Stephen Dolan and Alan Mycroft November 8, 2016 Computer Laboratory University of Cambridge The select function select p v d = if (p v) then v else
More informationTrust in the λ-calculus
J. Functional Programming, 3(2):75-85, 1997. c Cambridge University Press 1 Trust in the λ-calculus P. ØRBÆK AND J. PALSBERG BRICS, Centre of the Danish National Research Foundation, Dept. of Computer
More informationContents Propositional Logic: Proofs from Axioms and Inference Rules
Contents 1 Propositional Logic: Proofs from Axioms and Inference Rules... 1 1.1 Introduction... 1 1.1.1 An Example Demonstrating the Use of Logic in Real Life... 2 1.2 The Pure Propositional Calculus...
More informationPrinciples of Programming Languages
Principles of Programming Languages Lecture 03 Theoretical Foundations 1 Domains Semantic model of a data type: semantic domain! Examples: Integer, Natural, Truth-Value Domains D are more than a set of
More informationTutorial on Semantics Part I
Tutorial on Semantics Part I Basic Concepts Prakash Panangaden 1 1 School of Computer Science McGill University on sabbatical leave at Department of Computer Science Oxford University Fields Institute,
More informationAutomated Equational Reasoning in Nondeterministic λ-calculi Modulo Theories H
1 Automated Equational Reasoning in Nondeterministic λ-calculi Modulo Theories H Fritz Obermeyer Department of Mathematics Carnegie Mellon University 2009:03:22 Motivation 2 to semi-automatically build
More informationTraditional and Non Traditional lambda calculi
Strategies July 2009 Strategies Syntax Semantics Manipulating Expressions Variables and substitutions Free and bound variables Subterms and substitution Grafting and substitution Ordered list of variables
More informationProgramming Languages and Types
Programming Languages and Types Klaus Ostermann based on slides by Benjamin C. Pierce Subtyping Motivation With our usual typing rule for applications the term is not well typed. ` t 1 : T 11!T 12 ` t
More informationIntroduction to Probabilistic Programming Language (with Church as an example) Presenter: Enrique Rosales, Xing Zeng
Introduction to Probabilistic Programming Language (with Church as an example) Presenter: Enrique Rosales, Xing Zeng 1 Knowledge How can we infer knowledge from observations? 2 Ron s box Bob has a box
More informationExplicit Substitutions
Explicit Substitutions M. Abadi L. Cardelli P.-L. Curien J.-J. Lévy September 18, 1996 Abstract The λσ-calculus is a refinement of the λ-calculus where substitutions are manipulated explicitly. The λσ-calculus
More informationComputation and Logic Definitions
Computation and Logic Definitions True and False Also called Boolean truth values, True and False represent the two values or states an atom can assume. We can use any two distinct objects to represent
More informationSolutions to Exercises. Solution to Exercise 2.4. Solution to Exercise 2.5. D. Sabel and M. Schmidt-Schauß 1
D. Sabel and M. Schmidt-Schauß 1 A Solutions to Exercises Solution to Exercise 2.4 We calculate the sets of free and bound variables: FV ((λy.(y x)) (λx.(x y)) (λz.(z x y))) = FV ((λy.(y x)) (λx.(x y)))
More informationIntroduction to Type Theory
Introduction to Type Theory Herman Geuvers Radboud University Nijmegen & Technical University Eindhoven, The Netherlands July 8, 2008 1 Overview These notes comprise the lecture Introduction to Type Theory
More informationOrigin in Mathematical Logic
Lambda Calculus Origin in Mathematical Logic Foundation of mathematics was very much an issue in the early decades of 20th century. Cantor, Frege, Russel s Paradox, Principia Mathematica, NBG/ZF Origin
More informationThe Church-Rosser Property for -reduction in Typed -Calculi. Herman Geuvers. University of Nijmegen
The Church-Rosser Property for -reduction in Typed -Calculi Herman Geuvers Faculty of Mathematics and Computer Science University of Nijmegen Nijmegen, The Netherlands Abstract In this paper we investigate
More informationLecture Notes on Certifying Theorem Provers
Lecture Notes on Certifying Theorem Provers 15-317: Constructive Logic Frank Pfenning Lecture 13 October 17, 2017 1 Introduction How do we trust a theorem prover or decision procedure for a logic? Ideally,
More informationCMSC 631 Program Analysis and Understanding Fall Type Systems
Program Analysis and Understanding Fall 2017 Type Systems Type Systems A type system is a tractable syntactic method for proving the absence of certain program behaviors by classifying phrases according
More informationProgramming Language Concepts: Lecture 18
Programming Language Concepts: Lecture 18 Madhavan Mukund Chennai Mathematical Institute madhavan@cmi.ac.in http://www.cmi.ac.in/~madhavan/courses/pl2009 PLC 2009, Lecture 18, 30 March 2009 One step reduction
More informationImplicit Computational Complexity
Implicit Computational Complexity Simone Martini Dipartimento di Scienze dell Informazione Università di Bologna Italy Bertinoro International Spring School for Graduate Studies in Computer Science, 6
More informationLambda Calculus. Andrés Sicard-Ramírez. Semester Universidad EAFIT
Lambda Calculus Andrés Sicard-Ramírez Universidad EAFIT Semester 2010-2 Bibliography Textbook: Hindley, J. R. and Seldin, J. (2008). Lambda-Calculus and Combinators. An Introduction. Cambridge University
More informationTyping λ-terms. Types. Typed λ-terms. Base Types. The Typing Relation. Advanced Formal Methods. Lecture 3: Simply Typed Lambda calculus
Course 2D1453, 200607 Advanced Formal Methods Lecture 3: Simply Typed Lambda calculus Mads Dam KTH/CSC Some material from B. Pierce: TAPL + some from G. Klein, NICTA Typing λterms The uptyped λcalculus
More informationAAA616: Program Analysis. Lecture 3 Denotational Semantics
AAA616: Program Analysis Lecture 3 Denotational Semantics Hakjoo Oh 2018 Spring Hakjoo Oh AAA616 2018 Spring, Lecture 3 March 28, 2018 1 / 33 Denotational Semantics In denotational semantics, we are interested
More informationin Linear Logic Denis Bechet LIPN - Institut Galilee Universite Paris 13 Avenue Jean-Baptiste Clement Villetaneuse, France Abstract
Second Order Connectives and roof Transformations in Linear Logic Denis Bechet LIN - Institut Galilee Universite aris 1 Avenue Jean-Baptiste Clement 90 Villetaneuse, France e-mail: dbe@lipnuniv-paris1fr
More informationBridging Curry and Church s typing style
Bridging Curry and Church s typing style Fairouz Kamareddine a,, Jonathan P. Seldin b,, J.B. Wells a a School of Maths and Computer Sc., Heriot-Watt Univ., Edinburgh, UK b Maths and Computer Sc., Univ.
More informationInteractive Realizability for Second-Order Heyting Arithmetic with EM1 and SK1
Under consideration for publication in Math. Struct. in Comp. Science Interactive Realizability for Second-Order Heyting Arithmetic with EM1 and SK1 F e d e r i c o A s c h i e r i Laboratoire de l Informatique
More informationThe Curry-Howard Isomorphism
The Curry-Howard Isomorphism Software Formal Verification Maria João Frade Departmento de Informática Universidade do Minho 2008/2009 Maria João Frade (DI-UM) The Curry-Howard Isomorphism MFES 2008/09
More informationIntroduction to lambda calculus Part 2
Introduction to lambda calculus Part 2 Antti-Juhani Kaijanaho 2017-01-24... 1 Untyped lambda calculus 1.1 Syntax... x, y, z Var t, u Term t, u ::= x t u λx t... In this document, I will be using the following
More informationExtending Abramsky s Lazy Lambda Calculus: (Non)-Conservativity of Embeddings
Extending Abramsky s Lazy Lambda Calculus: (Non)-Conservativity of Embeddings Manfred Schmidt-Schauß 1, Elena Machkasova 2, and David Sabel 1 1 Goethe-Universität, Frankfurt, Germany schauss,sabel@ki.informatik.uni-frankfurt.de
More informationDependent Types and Explicit Substitutions
NASA/CR-1999-209722 ICASE Report No. 99-43 Dependent Types and Explicit Substitutions César Muñoz ICASE, Hampton, Virginia Institute for Computer Applications in Science and Engineering NASA Langley Research
More informationPropositional Dynamic Logic
Propositional Dynamic Logic Contents 1 Introduction 1 2 Syntax and Semantics 2 2.1 Syntax................................. 2 2.2 Semantics............................... 2 3 Hilbert-style axiom system
More informationSemantics with Intersection Types
Semantics with Intersection Types Steffen van Bakel Department of Computing, Imperial College of Science, Technology and Medicine, 180 Queen s Gate, London SW7 2BZ, U.K., E-mail: svb@doc.ic.ac.uk (Sections
More informationFORMAL SYSTEMS: COMBINATORY LOGIC
FORMAL SYSTEMS: COMBINATORY LOGIC AND λ-calculus Andrew R. Plummer Department of Linguistics The Ohio State University 30 Sept., 2009 OUTLINE 1 INTRODUCTION 2 APPLICATIVE SYSTEMS 3 USEFUL INFORMATION COMBINATORY
More informationJacques Fleuriot. Automated Reasoning Rewrite Rules
Automated Reasoning Rewrite Rules Jacques Fleuriot Lecture 8, page 1 Term Rewriting Rewriting is a technique for replacing terms in an expression with equivalent terms useful for simplification, e.g. given
More informationTHE UNIVERSITY OF CALGARY FACULTY OF SCIENCE FINAL EXAMINATION COMPUTER SCIENCE 521
P. 1 of 7 THE UNIVERSITY OF CALGARY FACULTY OF SCIENCE FINAL EXAMINATION COMPUTER SCIENCE 521 December, 2016 Time: 2 hrs. Instructions The exam contains questions totaling 100 points. Answer all questions.
More informationSome Results on Classical Semantics and Polymorphic Types
Carnegie Mellon University Department of Mathematical Sciences Doctoral Dissertation Some Results on Classical Semantics and Polymorphic Types William J. Gunther August 2015 Submitted to the Department
More informationComputational Soundness of a Call by Name Calculus of Recursively-scoped Records. UMM Working Papers Series, Volume 2, Num. 3.
Computational Soundness of a Call by Name Calculus of Recursively-scoped Records. UMM Working Papers Series, Volume 2, Num. 3. Elena Machkasova Contents 1 Introduction and Related Work 1 1.1 Introduction..............................
More informationReducibility proofs in λ-calculi with intersection types
Reducibility proofs in λ-calculi with intersection types Fairouz Kamareddine, Vincent Rahli, and J. B. Wells ULTRA group, Heriot-Watt University, http://www.macs.hw.ac.uk/ultra/ March 14, 2008 Abstract
More informationType Systems Winter Semester 2006
Type Systems Winter Semester 2006 Week 7 November 29 November 29, 2006 - version 1.0 Plan PREVIOUSLY: 1. type safety as progress and preservation 2. typed arithmetic expressions 3. simply typed lambda
More informationWell Founded Relations and Recursion
Well Founded Relations and Recursion Roger Bishop Jones Abstract Fixed points, well founded relations and a recursion theorem. http://www.rbjones.com/rbjpub/pp/doc/t005.pdf Created 2004/07/15 Last Modified
More informationSimply Typed λ-calculus
Simply Typed λ-calculus Lecture 1 Jeremy Dawson The Australian National University Semester 2, 2017 Jeremy Dawson (ANU) COMP4630,Lecture 1 Semester 2, 2017 1 / 23 A Brief History of Type Theory First developed
More informationOperational Semantics
Operational Semantics Semantics and applications to verification Xavier Rival École Normale Supérieure Xavier Rival Operational Semantics 1 / 50 Program of this first lecture Operational semantics Mathematical
More informationComplexity. Complexity Theory Lecture 3. Decidability and Complexity. Complexity Classes
Complexity Theory 1 Complexity Theory 2 Complexity Theory Lecture 3 Complexity For any function f : IN IN, we say that a language L is in TIME(f(n)) if there is a machine M = (Q, Σ, s, δ), such that: L
More informationMP 5 Program Transition Systems and Linear Temporal Logic
MP 5 Program Transition Systems and Linear Temporal Logic CS 477 Spring 2018 Revision 1.0 Assigned April 10, 2018 Due April 17, 2018, 9:00 PM Extension extend48 hours (penalty 20% of total points possible)
More informationThe Greek Alphabet. (a) The Untyped λ-calculus
3. The λ-calculus and Implication Greek Letters (a) The untyped λ-calculus. (b) The typed λ-calculus. (c) The λ-calculus in Agda. (d) Logic with Implication (e) Implicational Logic in Agda. (f) More on
More information3. The λ-calculus and Implication
3. The λ-calculus and Implication (a) (b) (c) (d) (e) (f) The untyped λ-calculus. The typed λ-calculus. The λ-calculus in Agda. Logic with Implication Implicational Logic in Agda. More on the typed λ-calculus.
More informationinvolving the dynamic creation of mutable locations (such as ML-style references). See [17, 2, 7, 3, 18, 12, 13, 6, 4]. Our interest in this subject s
Observable Properties of Higher Order Functions that Dynamically Create Local Names, or: What's new? Andrew M. Pitts? and Ian D. B. Stark?? University of Cambridge Computer Laboratory, Pembroke Street,
More informationTruth and Logic. Brief Introduction to Boolean Variables. INFO-1301, Quantitative Reasoning 1 University of Colorado Boulder
Truth and Logic Brief Introduction to Boolean Variables INFO-1301, Quantitative Reasoning 1 University of Colorado Boulder February 13, 2017 Prof. Michael Paul Prof. William Aspray Overview This lecture
More informationλ-terms, M Some random examples of λ-terms: L9 105
λ-terms, M are built up from a given, countable collection of variables x, y, z,... by two operations for forming λ-terms: λ-abstraction: (λx.m) (where x is a variable and M is a λ-term) application: (M
More informationType Inference. For the Simply-Typed Lambda Calculus. Peter Thiemann, Manuel Geffken. Albert-Ludwigs-Universität Freiburg. University of Freiburg
Type Inference For the Simply-Typed Lambda Calculus Albert-Ludwigs-Universität Freiburg Peter Thiemann, Manuel Geffken University of Freiburg 24. Januar 2013 Outline 1 Introduction 2 Applied Lambda Calculus
More informationCIS 500: Software Foundations
CIS 500: Software Foundations Solutions Final Exam December 15, 2017 1. Inductive relations (11 points) Complete the definition at the bottom of the page of an Inductive relation count that relates a list
More informationLocal Representations of Binding
Local Representations of Binding Randy Pollack LFCS, University of Edinburgh Joint work with James McKinna, Christian Urban, Arthur Charguéraud, Brian Aydemir, Benjamin Pierce, Stephanie Weirich Version
More informationFormal Methods Lecture 6. (B. Pierce's slides for the book Types and Programming Languages )
Formal Methods Lecture 6 (B. Pierce's slides for the book Types and Programming Languages ) Programming in the Lambda-Calculus, Continued Testing booleans Recall: tru = λt. λf. t fls = λt. λf. f We showed
More informationFunctional Programming with Coq. Yuxin Deng East China Normal University
Functional Programming with Coq Yuxin Deng East China Normal University http://basics.sjtu.edu.cn/ yuxin/ September 10, 2017 Functional Programming Y. Deng@ECNU 1 Reading materials 1. The Coq proof assistant.
More informationEDA045F: Program Analysis LECTURE 10: TYPES 1. Christoph Reichenbach
EDA045F: Program Analysis LECTURE 10: TYPES 1 Christoph Reichenbach In the last lecture... Performance Counters Challenges in Dynamic Performance Analysis Taint Analysis Binary Instrumentation 2 / 44 Types
More informationFundamentals of Session Types
Fundamentals of Session Types Vasco T. Vasconcelos LaSIGE, Faculty of Sciences, University of Lisbon, Portugal Abstract We present a reconstruction of session types in a linear pi calculus where types
More information1 Propositional Logic
1 Propositional Logic Required reading: Foundations of Computation. Sections 1.1 and 1.2. 1. Introduction to Logic a. Logical consequences. If you know all humans are mortal, and you know that you are
More informationOrigin in Mathematical Logic
Lambda Calculus Origin in Mathematical Logic Foundation of mathematics was very much an issue in the early decades of 20th century. Cantor, Frege, Russel s Paradox, Principia Mathematica, NBG/ZF The Combinatory
More informationThe Lambda-Calculus Reduction System
2 The Lambda-Calculus Reduction System 2.1 Reduction Systems In this section we present basic notions on reduction systems. For a more detailed study see [Klop, 1992, Dershowitz and Jouannaud, 1990]. Definition
More informationλ-terms, M Some random examples of λ-terms: L9 105
λ-terms, M L9 105 are built up from a given, countable collection of variables x, y, z,... by two operations for forming λ-terms: λ-abstraction: (λx.m) (where x is a variable and M is a λ-term) application:
More informationLecture 2. Lambda calculus. Iztok Savnik, FAMNIT. March, 2018.
Lecture 2 Lambda calculus Iztok Savnik, FAMNIT March, 2018. 1 Literature Henk Barendregt, Erik Barendsen, Introduction to Lambda Calculus, March 2000. Lambda calculus Leibniz had as ideal the following
More informationIntroduction to Type Theory February 2008 Alpha Lernet Summer School Piriapolis, Uruguay. Herman Geuvers Nijmegen & Eindhoven, NL
Introduction to Type Theory February 2008 Alpha Lernet Summer School Piriapolis, Uruguay Herman Geuvers Nijmegen & Eindhoven, NL Lecture 5: Higher Order Logic and the Calculus of Constructions 1 Church
More informationλ-calculus and types
λ-calculus and types Lecture notes Midland Graduate School / APPSEM Spring School 2004 Thorsten Altenkirch School of Computer Science and Information Technology, Nottingham University txa@cs.nott.ac.uk
More informationRealisability methods of proof and semantics with application to expansion
Realisability methods of proof and semantics with application to expansion First Year Examination Supervisors : Professor Fairouz Kamareddine and Doctor Joe B. Wells Student : Vincent Rahli ULTRA group,
More informationProbabilistic Applicative Bisimulation and Call-by-Value Lam
Probabilistic Applicative and Call-by-Value Lambda Calculi Joint work with Ugo Dal Lago ENS Lyon February 9, 2014 Probabilistic Applicative and Call-by-Value Lam Introduction Fundamental question: when
More informationBoolean Expression Checkers
Boolean Expression Checkers Tobias Nipkow May 27, 2015 Abstract This entry provides executable checkers for the following properties of boolean expressions: satisfiability, tautology and equivalence. Internally,
More information2. Associative Law: A binary operator * on a set S is said to be associated whenever (A*B)*C = A*(B*C) for all A,B,C S.
BOOLEAN ALGEBRA 2.1 Introduction Binary logic deals with variables that have two discrete values: 1 for TRUE and 0 for FALSE. A simple switching circuit containing active elements such as a diode and transistor
More informationIntroduction to λ-calculus
p.1/65 Introduction to λ-calculus Ken-etsu FUJITA fujita@cs.gunma-u.ac.jp http://www.comp.cs.gunma-u.ac.jp/ fujita/ Department of Computer Science Gunma University :Church 32, 36, 40; Curry 34 1. Universal
More informationA call-by-name lambda-calculus machine
A call-by-name lambda-calculus machine Jean-Louis Krivine University Paris VII, C.N.R.S. 2 place Jussieu 75251 Paris cedex 05 (krivine@pps.jussieu.fr) Introduction We present, in this paper, a particularly
More informationChapter 1 A computational interpretation of forcing in Type Theory
Chapter 1 A computational interpretation of forcing in Type Theory Thierry Coquand and Guilhem Jaber Abstract In a previous work, we showed the uniform continuity of definable functionals in intuitionistic
More informationStratifications and complexity in linear logic. Daniel Murfet
Stratifications and complexity in linear logic Daniel Murfet Curry-Howard correspondence logic programming categories formula type objects sequent input/output spec proof program morphisms cut-elimination
More informationTermherschrijfsystemen 2003
Termherschrijfsystemen 2003 Docent: Op basis van het boek Term Rewriting Systems van Terese voorjaar 2003 1 School arithmetic (3 + 5) (1 + 2) 8 (1 + 2) 8 3 24 Elementary steps: 3 + 5 8 1 + 2 3 8 3 24 Elementary
More informationIST 4 Information and Logic
IST 4 Information and Logic HW2 will be returned today Average is 53/6~=88% T = today x= hw#x out x= hw#x due mon tue wed thr fri 3 M 6 oh M oh 3 oh oh 2M2M 2 oh oh 2 Mx= MQx out 27 oh M2 oh oh = office
More informationBRNO UNIVERSITY OF TECHNOLOGY. Specifying and reasoning in the calculus of objects
BRNO UNIVERSITY OF TECHNOLOGY Faculty of Information Technology Department of Information Systems Ondrej Rysavy Specifying and reasoning in the calculus of objects Short Version of Ph.D. Thesis Study Field:
More informationNotes on Inductive Sets and Induction
Notes on Inductive Sets and Induction Finite Automata Theory and Formal Languages TMV027/DIT21 Ana Bove, March 15th 2018 Contents 1 Induction over the Natural Numbers 2 1.1 Mathematical (Simple) Induction........................
More information