Discrete Mathematics (VI) Yijia Chen Fudan University
|
|
- Barry Berry
- 5 years ago
- Views:
Transcription
1 Discrete Mathematics (VI) Yijia Chen Fudan University
2 Review
3 Truth Assignments Definition A truth assignment A is a function that assigns to each propositional letter A a unique truth value A(A) {T, F}.
4 Truth Valuations Example A truth assignment of A and B and the corresponding valuation of (A B). A B (A B) T T T T F T F T T F F F
5 Assignments and Valuations Definition A truth valuation V is a function that assigns to each proposition α a unique truth value V(α) so that its value on a compound proposition is determined in accordance with the appropriate truth tables. More precisely: V(α β) = T iff V(α) = T or V(β) = T. V(α β) = T iff V(α) = T and V(β) = T. V( α) = T iff V(α) = F. V(α β) = T iff V(α) = F or V(β) = T. V(α β) = T iff ( V(α) = T and V(β) = T ), or ( V(α) = F and V(β) = F ).
6 Assignments and Valuations Theorem Given a truth assignment A there is a unique truth valuation V such that V(α) = A(α) for every propositional letter α. Proof. By induction on the structure of α: 1. If α is a propositional letter A, then 2. If α = α 1 α 2, then where {,,, }. V(α) = V(A) = A(A). V(α) = (the truth value of) V(α 1) V(α 2), 3. If α = α 1, then V(α) = V(α 1).
7 Assignments and Valuations Corollary If V 1 and V 2 are two valuations that agree on the support of α, the finite set of propositional letters used in the construction of α, then V 1(α) = V 2(α). Proof. V 1(α) is uniquely determined by V 1(A) for those A in the support of α. V 2(α) is uniquely determined by V 2(A) for those A in the support of α. V 1(A) = V 2(A) for those A in the support of α.
8 Tautologies Definition A proposition σ is said to be valid if for any valuation V we have V(σ) = T. Such a proposition is also called a tautology.
9 Tautologies Example α α is a tautology. α α α α T F T F T T It could happen that V(α) T for any valuation V, e.g., α = A A.
10 Logical Equivalence Definition Two proposition α and β such that, for every valuation V, V(α) = V(β) are called logically equivalent. We denote this by α β.
11 Logical Equivalence Example α β α β. α β α β T T T T F F F T T F F T α β α α β T T F T T F F F F T T T F F T T
12 Consequences Definition Let Σ be a (possibly infinite) set of propositions. We say that σ is a consequence of Σ (and write Σ = σ) if, for any valuation V, V(τ) = T for all τ Σ implies V(σ) = T.
13 Consequences Example 1. Let Σ = { A, A B }, we have Σ = B. 2. Let Σ = { A, A B, C }, we have Σ = B. 3. Let Σ = { A B}, we have Σ = B.
14 Models Definition We say that a valuation V is a model of Σ if V(σ) = T for every σ Σ. We denote by M(Σ) the set of all models of Σ. Example Let Σ = {A, A B}, we have models: 1. A(A) = T and A(B) = T. 2. A(A) = T, A(B) = T, and A(C) = T. 3. A(A) = T, A(B) = T, A(C) = F, and A(D) = F,.
15 Models Definition We say that propositions Σ is satisfiable if it has some model. Otherwise it is unsatisfiable. In case Σ = {α}, then α is invalid. Example 1. { A, A B } is satisfiable. 2. { A, A B, B C, C A } is unsatisfiable. 3. A A is invalid.
16 Proposition Let Σ, Σ 1, Σ 2 be sets of propositions. Let Cn(Σ) denote the set of consequences of Σ and Taut the set of tautologies. 1. Σ 1 Σ 2 implies Cn(Σ 1) Cn(Σ 2). 2. Σ Cn(Σ). 3. Taut Cn(Σ) = Cn(Cn(Σ)). 4. Σ 1 Σ 2 implies M(Σ 2) M(Σ 1). 5. Cn(Σ) = { σ V(σ) = T for all V M(Σ) }. 6. σ Cn({σ 1,..., σ n}) if and only if σ 1 (σ 2... (σ n σ)...) Taut.
17 Deduction Theorem Theorem For any propositions φ and ψ, Σ {ψ} = φ if and only if Σ = ψ φ holds.
18 Tableau Proofs
19 Terminologies Signed propositions. Entries of the tableau. Atomic tableaux.
20 Atomic Tableaux T A F A T (α β) T α T β F (α β) F α F β
21 Atomic Tableaux T (α β) T α T β T ( α) F α F (α β) F α F β F ( α) T α
22 Atomic Tableaux T (α β) F α T β T (α β) F (α β) T α F β F (α β) T α F α T α F α T β F β F β T β
23 An example F (((α β) (γ δ)) (α β)) F ((α β) (γ δ)) F (α β) F (α β) F (γ δ) F α F β F γ F δ F (α β) T α F β
24 Tableaux Definition A finite tableau is a binary tree, labeled with signed propositions called entries, such that: 1. All atomic tableaux are finite tableaux. 2. If τ is a finite tableau, P a path on τ, E an entry of τ occurring on P, and τ is obtained from τ by adjoining the unique atomic tableau with root entry E to τ at the end of the path P, then τ is also a finite tableau. If τ 0, τ 1,..., τ n,... is a (finite or infinite) sequence of finite tableaux such that, for each n 0, τ n+1 is constructed from τ n by an application of (2), then τ = τ n is a tableau.
25 Definition Let τ be a tableau, P a path on τ, and E an entry occurring on P. 1. E has been reduced on P if all the entries on one path through the atomic tableau with root E occur on P. 2. P is contradictory if, for some proposition α, T α and F α are both entries on P. P is finished if it is contradictory or every entry on P is reduced on P. 3. τ is finished if every path through τ is finished. 4. τ is contradictory if every path through τ is contradictory.
26 Tableau Proofs Definition 1. A tableau proof of a proposition α is a contradictory tableau with root entry F α. A proposition is tableau provable, written if it has a tableau proof. α, 2. A tableau refutation for a proposition α is a contradictory tableau starting with T α. A proposition is tableau refutable if it has a tableau refutation.
27 A tableau proof of F ((α β) ( α β)). F ((α β) ( α β)) T (α β) F ( α β) F α F β T α T (α β) F α T β
28 Complete Systematic Tableaux Definition Let R be a signed proposition. We define the complete systematic tableau (CST) with root entry R by induction. 1. Let τ 0 be the unique atomic tableau with R at its root. 2. Assume that τ m has been defined. Let n be the smallest level of τ m containing an entry which is unreduced on some noncontradictory path in τ m and let E be the leftmost such entry of level n. 3. Let τ m+1 be the tableau constructed by adjoining the unique atomic tableau with root E to the end of every noncontradictory path of τ m on which E is unreduced. The union of the sequence τ 0, τ 1,..., τ m,... is our desired complete systematic tableau.
29 Theorem Every CST is finished. Proof. Reduce every possible E level by level and there is no E unreduced for any fixed level.
30 Theorem If τ = τ n is a contradictory tableau, then for some m, τ m is a finite contradictory tableau. Thus, in particular, if a CST is a proof, it is a finite tableau. Proof. By König lemma.
31 Definition Let α be a proposition. We define the degree d(α) of α by induction. 1. if α is a propositional letter, then d(α) = if α is β, then d(α) = d(β) if α is β γ, then d(α) = d(β) + d(γ) + 1. The degree of a signed proposition Tα or Fα is the degree of α. If P is a path in a tableau τ, then the degree d(p) of P is the sum of the degree of the signed propositions on P that are not reduced on P.
32 Theorem Every CST is finite. Proof. Let P be a path in τ. Then P = P m, where every P m is the corresponding path in τ m. Assume P m+1 strictly extends P m. Then a straightforward case analysis shows d(p m+1) < d(p m).
33 How to construct CST from premises? Definition Let Σ be (possibly infinite) set of propositions. We define the finite tableaux with premises from Σ by induction: 1. Every atomic tableau is a finite tableau from Σ. 2. If τ is a finite tableau from Σ and α Σ, then the tableau formed by putting Tα at the end of every noncontradictory path not containing it is also a finite tableau from Σ. 3. If τ is a finite tableau from Σ, P a path in τ, E an entry of τ occurring on P and τ is obtained from τ by adjoining the unique atomic tableau with root entry E to the end of P, then τ is also a finite tableau from Σ. If τ 0,..., τ n,... is a (finite or infinite) sequence of finite tableaux from Σ such that, for each n 0, τ n+1 is constructed from τ n by an application of (2) and (3), then τ = τ n is a tableau from Σ.
34 Tableau proofs Definition A tableau proof of a proposition α from Σ is a tableau from Σ with root entry Fα that is contradictory, that is, one in which every path is contradictory. If there is such a proof we say that α is provable from Σ and write it as Σ α.
35 Theorem Every CST from a set of premises is finished.
Discrete Mathematics(II)
Discrete Mathematics(II) Yi Li Software School Fudan University March 27, 2017 Yi Li (Fudan University) Discrete Mathematics(II) March 27, 2017 1 / 28 Review Language Truth table Connectives Yi Li (Fudan
More informationDiscrete Mathematics
Discrete Mathematics Yi Li Software School Fudan University April 10, 2017 Yi Li (Fudan University) Discrete Mathematics April 10, 2017 1 / 27 Review Atomic tableaux CST and properties Yi Li (Fudan University)
More informationPropositional and Predicate Logic - IV
Propositional and Predicate Logic - IV Petr Gregor KTIML MFF UK ZS 2015/2016 Petr Gregor (KTIML MFF UK) Propositional and Predicate Logic - IV ZS 2015/2016 1 / 19 Tableau method (from the previous lecture)
More informationDeductive Systems. Lecture - 3
Deductive Systems Lecture - 3 Axiomatic System Axiomatic System (AS) for PL AS is based on the set of only three axioms and one rule of deduction. It is minimal in structure but as powerful as the truth
More informationLecture 13: Soundness, Completeness and Compactness
Discrete Mathematics (II) Spring 2017 Lecture 13: Soundness, Completeness and Compactness Lecturer: Yi Li 1 Overview In this lecture, we will prvoe the soundness and completeness of tableau proof system,
More informationPropositional and Predicate Logic - V
Propositional and Predicate Logic - V Petr Gregor KTIML MFF UK WS 2016/2017 Petr Gregor (KTIML MFF UK) Propositional and Predicate Logic - V WS 2016/2017 1 / 21 Formal proof systems Hilbert s calculus
More information17.1 Correctness of First-Order Tableaux
Applied Logic Lecture 17: Correctness and Completeness of First-Order Tableaux CS 4860 Spring 2009 Tuesday, March 24, 2009 Now that we have introduced a proof calculus for first-order logic we have to
More informationMathematical Logic Propositional Logic - Tableaux*
Mathematical Logic Propositional Logic - Tableaux* Fausto Giunchiglia and Mattia Fumagalli University of Trento *Originally by Luciano Serafini and Chiara Ghidini Modified by Fausto Giunchiglia and Mattia
More informationNatural Deduction. Formal Methods in Verification of Computer Systems Jeremy Johnson
Natural Deduction Formal Methods in Verification of Computer Systems Jeremy Johnson Outline 1. An example 1. Validity by truth table 2. Validity by proof 2. What s a proof 1. Proof checker 3. Rules of
More informationComputational Logic. Davide Martinenghi. Spring Free University of Bozen-Bolzano. Computational Logic Davide Martinenghi (1/30)
Computational Logic Davide Martinenghi Free University of Bozen-Bolzano Spring 2010 Computational Logic Davide Martinenghi (1/30) Propositional Logic - sequent calculus To overcome the problems of natural
More informationHandout Proof Methods in Computer Science
Handout Proof Methods in Computer Science Sebastiaan A. Terwijn Institute of Logic, Language and Computation University of Amsterdam Plantage Muidergracht 24 1018 TV Amsterdam the Netherlands terwijn@logic.at
More informationCS 486: Lecture 2, Thursday, Jan 22, 2009
CS 486: Lecture 2, Thursday, Jan 22, 2009 Mark Bickford January 22, 2009 1 Outline Propositional formulas Interpretations and Valuations Validity and Satisfiability Truth tables and Disjunctive Normal
More informationPropositional Calculus - Semantics (3/3) Moonzoo Kim CS Dept. KAIST
Propositional Calculus - Semantics (3/3) Moonzoo Kim CS Dept. KAIST moonzoo@cs.kaist.ac.kr 1 Overview 2.1 Boolean operators 2.2 Propositional formulas 2.3 Interpretations 2.4 Logical Equivalence and substitution
More informationProofs. Joe Patten August 10, 2018
Proofs Joe Patten August 10, 2018 1 Statements and Open Sentences 1.1 Statements A statement is a declarative sentence or assertion that is either true or false. They are often labelled with a capital
More informationPropositional and Predicate Logic - VII
Propositional and Predicate Logic - VII Petr Gregor KTIML MFF UK WS 2015/2016 Petr Gregor (KTIML MFF UK) Propositional and Predicate Logic - VII WS 2015/2016 1 / 11 Theory Validity in a theory A theory
More informationPropositional Logic Language
Propositional Logic Language A logic consists of: an alphabet A, a language L, i.e., a set of formulas, and a binary relation = between a set of formulas and a formula. An alphabet A consists of a finite
More informationCS 486: Applied Logic Lecture 7, February 11, Compactness. 7.1 Compactness why?
CS 486: Applied Logic Lecture 7, February 11, 2003 7 Compactness 7.1 Compactness why? So far, we have applied the tableau method to propositional formulas and proved that this method is sufficient and
More informationPropositional Logic. Testing, Quality Assurance, and Maintenance Winter Prof. Arie Gurfinkel
Propositional Logic Testing, Quality Assurance, and Maintenance Winter 2018 Prof. Arie Gurfinkel References Chpater 1 of Logic for Computer Scientists http://www.springerlink.com/content/978-0-8176-4762-9/
More information3 Propositional Logic
3 Propositional Logic 3.1 Syntax 3.2 Semantics 3.3 Equivalence and Normal Forms 3.4 Proof Procedures 3.5 Properties Propositional Logic (25th October 2007) 1 3.1 Syntax Definition 3.0 An alphabet Σ consists
More informationA Tableau Style Proof System for Two Paraconsistent Logics
Notre Dame Journal of Formal Logic Volume 34, Number 2, Spring 1993 295 A Tableau Style Proof System for Two Paraconsistent Logics ANTHONY BLOESCH Abstract This paper presents a tableau based proof technique
More informationIntroduction to Intuitionistic Logic
Introduction to Intuitionistic Logic August 31, 2016 We deal exclusively with propositional intuitionistic logic. The language is defined as follows. φ := p φ ψ φ ψ φ ψ φ := φ and φ ψ := (φ ψ) (ψ φ). A
More informationPropositional Calculus - Deductive Systems
Propositional Calculus - Deductive Systems Moonzoo Kim CS Division of EECS Dept. KAIST moonzoo@cs.kaist.ac.kr http://pswlab.kaist.ac.kr/courses/cs402-07 1 Deductive proofs (1/3) Suppose we want to know
More informationFiltrations and Basic Proof Theory Notes for Lecture 5
Filtrations and Basic Proof Theory Notes for Lecture 5 Eric Pacuit March 13, 2012 1 Filtration Let M = W, R, V be a Kripke model. Suppose that Σ is a set of formulas closed under subformulas. We write
More information1. Propositional Calculus
1. Propositional Calculus Some notes for Math 601, Fall 2010 based on Elliott Mendelson, Introduction to Mathematical Logic, Fifth edition, 2010, Chapman & Hall. 2. Syntax ( grammar ). 1.1, p. 1. Given:
More informationDiscrete Mathematics
Discrete Mathematics Yi Li Software School Fudan University March 13, 2017 Yi Li (Fudan University) Discrete Mathematics March 13, 2017 1 / 1 Review of Lattice Ideal Special Lattice Boolean Algebra Yi
More informationAutomated Reasoning Lecture 2: Propositional Logic and Natural Deduction
Automated Reasoning Lecture 2: Propositional Logic and Natural Deduction Jacques Fleuriot jdf@inf.ed.ac.uk Logic Puzzles 1. Tomorrow will be sunny or rainy. Tomorrow will not be sunny. What will the weather
More information15414/614 Optional Lecture 1: Propositional Logic
15414/614 Optional Lecture 1: Propositional Logic Qinsi Wang Logic is the study of information encoded in the form of logical sentences. We use the language of Logic to state observations, to define concepts,
More information03 Propositional Logic II
Martin Henz February 12, 2014 Generated on Wednesday 12 th February, 2014, 09:49 1 Review: Syntax and Semantics of Propositional Logic 2 3 Propositional Atoms and Propositions Semantics of Formulas Validity,
More informationIntroduction to Metalogic 1
Philosophy 135 Spring 2012 Tony Martin Introduction to Metalogic 1 1 The semantics of sentential logic. The language L of sentential logic. Symbols of L: (i) sentence letters p 0, p 1, p 2,... (ii) connectives,
More informationNotes on Inference and Deduction
Notes on Inference and Deduction Consider the following argument 1 Assumptions: If the races are fixed or the gambling houses are crooked, then the tourist trade will decline. If the tourist trade declines
More informationPropositional Logic: Models and Proofs
Propositional Logic: Models and Proofs C. R. Ramakrishnan CSE 505 1 Syntax 2 Model Theory 3 Proof Theory and Resolution Compiled at 11:51 on 2016/11/02 Computing with Logic Propositional Logic CSE 505
More informationApplied Logics - A Review and Some New Results
Applied Logics - A Review and Some New Results ICLA 2009 Esko Turunen Tampere University of Technology Finland January 10, 2009 Google Maps Introduction http://maps.google.fi/maps?f=d&utm_campaign=fi&utm_source=fi-ha-...
More informationRelational dual tableaux for interval temporal logics *
Relational dual tableaux for interval temporal logics * Davide Bresolin * Joanna Golińska-Pilarek ** Ewa Orłowska ** * Department of Mathematics and Computer Science University of Udine (Italy) bresolin@dimi.uniud.it
More informationPropositional logic. First order logic. Alexander Clark. Autumn 2014
Propositional logic First order logic Alexander Clark Autumn 2014 Formal Logic Logical arguments are valid because of their form. Formal languages are devised to express exactly that relevant form and
More informationLecture 2. Logic Compound Statements Conditional Statements Valid & Invalid Arguments Digital Logic Circuits. Reading (Epp s textbook)
Lecture 2 Logic Compound Statements Conditional Statements Valid & Invalid Arguments Digital Logic Circuits Reading (Epp s textbook) 2.1-2.4 1 Logic Logic is a system based on statements. A statement (or
More informationFirst-order resolution for CTL
First-order resolution for Lan Zhang, Ullrich Hustadt and Clare Dixon Department of Computer Science, University of Liverpool Liverpool, L69 3BX, UK {Lan.Zhang, U.Hustadt, CLDixon}@liverpool.ac.uk Abstract
More informationClassical Propositional Logic
The Language of A Henkin-style Proof for Natural Deduction January 16, 2013 The Language of A Henkin-style Proof for Natural Deduction Logic Logic is the science of inference. Given a body of information,
More informationKE/Tableaux. What is it for?
CS3UR: utomated Reasoning 2002 The term Tableaux refers to a family of deduction methods for different logics. We start by introducing one of them: non-free-variable KE for classical FOL What is it for?
More informationLearning Goals of CS245 Logic and Computation
Learning Goals of CS245 Logic and Computation Alice Gao April 27, 2018 Contents 1 Propositional Logic 2 2 Predicate Logic 4 3 Program Verification 6 4 Undecidability 7 1 1 Propositional Logic Introduction
More informationPropositional Calculus - Soundness & Completeness of H
Propositional Calculus - Soundness & Completeness of H Moonzoo Kim CS Dept. KAIST moonzoo@cs.kaist.ac.kr 1 Review Goal of logic To check whether given a formula Á is valid To prove a given formula Á `
More information02 Propositional Logic
SE 2F03 Fall 2005 02 Propositional Logic Instructor: W. M. Farmer Revised: 25 September 2005 1 What is Propositional Logic? Propositional logic is the study of the truth or falsehood of propositions or
More informationGödel s Completeness Theorem
A.Miller M571 Spring 2002 Gödel s Completeness Theorem We only consider countable languages L for first order logic with equality which have only predicate symbols and constant symbols. We regard the symbols
More informationECE473 Lecture 15: Propositional Logic
ECE473 Lecture 15: Propositional Logic Jeffrey Mark Siskind School of Electrical and Computer Engineering Spring 2018 Siskind (Purdue ECE) ECE473 Lecture 15: Propositional Logic Spring 2018 1 / 23 What
More informationLogic: Propositional Logic Tableaux
Logic: Propositional Logic Tableaux Raffaella Bernardi bernardi@inf.unibz.it P.zza Domenicani 3, Room 2.28 Faculty of Computer Science, Free University of Bolzano-Bozen http://www.inf.unibz.it/~bernardi/courses/logic06
More information10 Propositional logic
10 The study of how the truth value of compound statements depends on those of simple statements. A reminder of truth-tables. and A B A B F T F F F F or A B A B T F T F T T F F F not A A T F F T material
More informationOn the Complexity of the Reflected Logic of Proofs
On the Complexity of the Reflected Logic of Proofs Nikolai V. Krupski Department of Math. Logic and the Theory of Algorithms, Faculty of Mechanics and Mathematics, Moscow State University, Moscow 119899,
More information2. The Logic of Compound Statements Summary. Aaron Tan August 2017
2. The Logic of Compound Statements Summary Aaron Tan 21 25 August 2017 1 2. The Logic of Compound Statements 2.1 Logical Form and Logical Equivalence Statements; Compound Statements; Statement Form (Propositional
More informationInformal Statement Calculus
FOUNDATIONS OF MATHEMATICS Branches of Logic 1. Theory of Computations (i.e. Recursion Theory). 2. Proof Theory. 3. Model Theory. 4. Set Theory. Informal Statement Calculus STATEMENTS AND CONNECTIVES Example
More informationMathematical Logic (IX)
Mathematical Logic (IX) Yijia Chen 1. The Löwenheim-Skolem Theorem and the Compactness Theorem Using the term-interpretation, it is routine to verify: Theorem 1.1 (Löwenheim-Skolem). Let Φ L S be at most
More informationPHIL 50 - Introduction to Logic
Truth Validity Logical Consequence Equivalence V ψ ψ φ 1, φ 2,, φ k ψ φ ψ PHIL 50 - Introduction to Logic Marcello Di Bello, Stanford University, Spring 2014 Week 2 Friday Class Overview of Key Notions
More informationThe Importance of Being Formal. Martin Henz. February 5, Propositional Logic
The Importance of Being Formal Martin Henz February 5, 2014 Propositional Logic 1 Motivation In traditional logic, terms represent sets, and therefore, propositions are limited to stating facts on sets
More informationFudan University à Ó
Fudan University 2007-2008 ½2 Đýý á ò : Ð (II) Ñá : á ã : SOFT130040.01 Đý» : Ñ ò: : â: Ã 1 2 3 4 5 6 7 8 9 10 Ó Direction: There are totally two pages of examination paper. You must write all your answers,
More informationNatural Deduction for Propositional Logic
Natural Deduction for Propositional Logic Bow-Yaw Wang Institute of Information Science Academia Sinica, Taiwan September 10, 2018 Bow-Yaw Wang (Academia Sinica) Natural Deduction for Propositional Logic
More informationPropositional Calculus - Natural deduction Moonzoo Kim CS Dept. KAIST
Propositional Calculus - Natural deduction Moonzoo Kim CS Dept. KAIST moonzoo@cs.kaist.ac.kr 1 Review Goal of logic To check whether given a formula Á is valid To prove a given formula Á ` Á Syntactic
More informationOverview. I Review of natural deduction. I Soundness and completeness. I Semantics of propositional formulas. I Soundness proof. I Completeness proof.
Overview I Review of natural deduction. I Soundness and completeness. I Semantics of propositional formulas. I Soundness proof. I Completeness proof. Propositional formulas Grammar: ::= p j (:) j ( ^ )
More informationChapter 2 Background. 2.1 A Basic Description Logic
Chapter 2 Background Abstract Description Logics is a family of knowledge representation formalisms used to represent knowledge of a domain, usually called world. For that, it first defines the relevant
More informationPropositional and Predicate Logic - XIII
Propositional and Predicate Logic - XIII Petr Gregor KTIML MFF UK WS 2016/2017 Petr Gregor (KTIML MFF UK) Propositional and Predicate Logic - XIII WS 2016/2017 1 / 22 Undecidability Introduction Recursive
More informationUNIT-I: Propositional Logic
1. Introduction to Logic: UNIT-I: Propositional Logic Logic: logic comprises a (formal) language for making statements about objects and reasoning about properties of these objects. Statements in a logical
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 informationcis32-ai lecture # 18 mon-3-apr-2006
cis32-ai lecture # 18 mon-3-apr-2006 today s topics: propositional logic cis32-spring2006-sklar-lec18 1 Introduction Weak (search-based) problem-solving does not scale to real problems. To succeed, problem
More informationChapter 3: Propositional Calculus: Deductive Systems. September 19, 2008
Chapter 3: Propositional Calculus: Deductive Systems September 19, 2008 Outline 1 3.1 Deductive (Proof) System 2 3.2 Gentzen System G 3 3.3 Hilbert System H 4 3.4 Soundness and Completeness; Consistency
More informationCanonical Calculi: Invertibility, Axiom expansion and (Non)-determinism
Canonical Calculi: Invertibility, Axiom expansion and (Non)-determinism A. Avron 1, A. Ciabattoni 2, and A. Zamansky 1 1 Tel-Aviv University 2 Vienna University of Technology Abstract. We apply the semantic
More informationDescription Logics. Deduction in Propositional Logic. franconi. Enrico Franconi
(1/20) Description Logics Deduction in Propositional Logic Enrico Franconi franconi@cs.man.ac.uk http://www.cs.man.ac.uk/ franconi Department of Computer Science, University of Manchester (2/20) Decision
More informationComp487/587 - Boolean Formulas
Comp487/587 - Boolean Formulas 1 Logic and SAT 1.1 What is a Boolean Formula Logic is a way through which we can analyze and reason about simple or complicated events. In particular, we are interested
More informationINF3170 Logikk Spring Homework #8 For Friday, March 18
INF3170 Logikk Spring 2011 Homework #8 For Friday, March 18 Problems 2 6 have to do with a more explicit proof of the restricted version of the completeness theorem: if = ϕ, then ϕ. Note that, other than
More informationBelnap s four valued logic
Chapter 5 Belnap s four valued logic 5.1 Introduction The study of first-degree entailment occupies a special position in the field of relevance logics: it can be seen either as the study of the validity
More informationVersion January Please send comments and corrections to
Mathematical Logic for Computer Science Second revised edition, Springer-Verlag London, 2001 Answers to Exercises Mordechai Ben-Ari Department of Science Teaching Weizmann Institute of Science Rehovot
More information1 Completeness Theorem for First Order Logic
1 Completeness Theorem for First Order Logic There are many proofs of the Completeness Theorem for First Order Logic. We follow here a version of Henkin s proof, as presented in the Handbook of Mathematical
More informationFirst Order Logic: Syntax and Semantics
CS1081 First Order Logic: Syntax and Semantics COMP30412 Sean Bechhofer sean.bechhofer@manchester.ac.uk Problems Propositional logic isn t very expressive As an example, consider p = Scotland won on Saturday
More informationTodays programme: Propositional Logic. Program Fac. Program Specification
Todays programme: Propositional Logic Familiarity with basic terminology of logics Syntax, logical connectives Semantics: models, truth, validity, logical consequence Proof systems: deductions, deductive
More informationChapter 11: Automated Proof Systems
Chapter 11: Automated Proof Systems SYSTEM RS OVERVIEW Hilbert style systems are easy to define and admit a simple proof of the Completeness Theorem but they are difficult to use. Automated systems are
More informationSemantics and Pragmatics of NLP
Semantics and Pragmatics of NLP Alex Ewan School of Informatics University of Edinburgh 28 January 2008 1 2 3 Taking Stock We have: Introduced syntax and semantics for FOL plus lambdas. Represented FOL
More informationLecture 10: Gentzen Systems to Refinement Logic CS 4860 Spring 2009 Thursday, February 19, 2009
Applied Logic Lecture 10: Gentzen Systems to Refinement Logic CS 4860 Spring 2009 Thursday, February 19, 2009 Last Tuesday we have looked into Gentzen systems as an alternative proof calculus, which focuses
More informationMathematical Logic. Introduction to Reasoning and Automated Reasoning. Hilbert-style Propositional Reasoning. Chiara Ghidini. FBK-IRST, Trento, Italy
Introduction to Reasoning and Automated Reasoning. Hilbert-style Propositional Reasoning. FBK-IRST, Trento, Italy Deciding logical consequence Problem Is there an algorithm to determine whether a formula
More informationFrom Syllogism to Common Sense
From Syllogism to Common Sense Mehul Bhatt Oliver Kutz Thomas Schneider Department of Computer Science & Research Center on Spatial Cognition (SFB/TR 8) University of Bremen Normal Modal Logic K r i p
More informationCMPSCI 601: Tarski s Truth Definition Lecture 15. where
@ CMPSCI 601: Tarski s Truth Definition Lecture 15! "$#&%(') *+,-!".#/%0'!12 43 5 6 7 8:9 4; 9 9 < = 9 = or 5 6?>A@B!9 2 D for all C @B 9 CFE where ) CGE @B-HI LJKK MKK )HG if H ; C if H @ 1 > > > Fitch
More informationSymbolic Logic 3. For an inference to be deductively valid it is impossible for the conclusion to be false if the premises are true.
Symbolic Logic 3 Testing deductive validity with truth tables For an inference to be deductively valid it is impossible for the conclusion to be false if the premises are true. So, given that truth tables
More informationMadhavan Mukund Chennai Mathematical Institute
AN INTRODUCTION TO LOGIC Madhavan Mukund Chennai Mathematical Institute E-mail: madhavan@cmiacin Abstract ese are lecture notes for an introductory course on logic aimed at graduate students in Computer
More information1. Propositional Calculus
1. Propositional Calculus Some notes for Math 601, Fall 2010 based on Elliott Mendelson, Introduction to Mathematical Logic, Fifth edition, 2010, Chapman & Hall. 2. Syntax ( grammar ). 1.1, p. 1. Given:
More informationKnowledge representation DATA INFORMATION KNOWLEDGE WISDOM. Figure Relation ship between data, information knowledge and wisdom.
Knowledge representation Introduction Knowledge is the progression that starts with data which s limited utility. Data when processed become information, information when interpreted or evaluated becomes
More informationNotes for the Logic Course 2010/2011
Notes for the Logic Course 2010/2011 Propositional Logic Rosella Gennari http://www.inf.unibz.it/~gennari gennari@inf.unibz.it Computer Science Free University of Bozen-Bolzano February 2, 2011 Disclaimer.
More informationMath 160A: Soundness and Completeness for Sentential Logic
Math 160A: Soundness and Completeness for Sentential Logic Proof system for Sentential Logic. Definition (Ex 1.7.5 p. 66). For Σ a set of wffs, define a deduction from Σ to be a finite sequence xα 0,...,α
More informationCompleteness of Kozen s Axiomatisation of the Propositional µ-calculus
Completeness of Kozen s Axiomatisation of the Propositional µ-calculus Igor Walukiewicz 1 BRICS 2,3 Department of Computer Science University of Aarhus Ny Munkegade DK-8000 Aarhus C, Denmark e-mail: igw@mimuw.edu.pl
More informationPL: Truth Trees. Handout Truth Trees: The Setup
Handout 4 PL: Truth Trees Truth tables provide a mechanical method for determining whether a proposition, set of propositions, or argument has a particular logical property. For example, we can show that
More informationPropositional Logic: Gentzen System, G
CS402, Spring 2017 Quiz on Thursday, 6th April: 15 minutes, two questions. Sequent Calculus in G In Natural Deduction, each line in the proof consists of exactly one proposition. That is, A 1, A 2,...,
More informationarxiv:math/ v1 [math.lo] 5 Mar 2007
Topological Semantics and Decidability Dmitry Sustretov arxiv:math/0703106v1 [math.lo] 5 Mar 2007 March 6, 2008 Abstract It is well-known that the basic modal logic of all topological spaces is S4. However,
More informationLogic: Propositional Logic Truth Tables
Logic: Propositional Logic Truth Tables Raffaella Bernardi bernardi@inf.unibz.it P.zza Domenicani 3, Room 2.28 Faculty of Computer Science, Free University of Bolzano-Bozen http://www.inf.unibz.it/~bernardi/courses/logic06
More informationFundamentals of Logic
Fundamentals of Logic No.5 Soundness and Completeness Tatsuya Hagino Faculty of Environment and Information Studies Keio University 2015/5/18 Tatsuya Hagino (Faculty of Environment and InformationFundamentals
More informationBinary Decision Diagrams
Binary Decision Diagrams Literature Some pointers: H.R. Andersen, An Introduction to Binary Decision Diagrams, Lecture notes, Department of Information Technology, IT University of Copenhagen Tools: URL:
More informationPropositional Logic. CS 3234: Logic and Formal Systems. Martin Henz and Aquinas Hobor. August 26, Generated on Tuesday 31 August, 2010, 16:54
Propositional Logic CS 3234: Logic and Formal Systems Martin Henz and Aquinas Hobor August 26, 2010 Generated on Tuesday 31 August, 2010, 16:54 1 Motivation In traditional logic, terms represent sets,
More informationNon-Analytic Tableaux for Chellas s Conditional Logic CK and Lewis s Logic of Counterfactuals VC
Australasian Journal of Logic Non-Analytic Tableaux for Chellas s Conditional Logic CK and Lewis s Logic of Counterfactuals VC Richard Zach Abstract Priest has provided a simple tableau calculus for Chellas
More informationFormal Epistemology: Lecture Notes. Horacio Arló-Costa Carnegie Mellon University
Formal Epistemology: Lecture Notes Horacio Arló-Costa Carnegie Mellon University hcosta@andrew.cmu.edu Logical preliminaries Let L 0 be a language containing a complete set of Boolean connectives, including
More informationNormal Forms of Propositional Logic
Normal Forms of Propositional Logic Bow-Yaw Wang Institute of Information Science Academia Sinica, Taiwan September 12, 2017 Bow-Yaw Wang (Academia Sinica) Normal Forms of Propositional Logic September
More informationEffective Prover for Minimal Inconsistency Logic
Effective Prover for Minimal Inconsistency Logic Adolfo Gustavo Serra Seca Neto and Marcelo Finger Computer Science Department Institute of Mathematics and Statistics University of São Paulo [adolfo,mfinger]@ime.usp.br
More informationGENERATING SETS AND DECOMPOSITIONS FOR IDEMPOTENT TREE LANGUAGES
Atlantic Electronic http://aejm.ca Journal of Mathematics http://aejm.ca/rema Volume 6, Number 1, Summer 2014 pp. 26-37 GENERATING SETS AND DECOMPOSITIONS FOR IDEMPOTENT TREE ANGUAGES MARK THOM AND SHEY
More informationTHE LOGIC OF COMPOUND STATEMENTS
CHAPTER 2 THE LOGIC OF COMPOUND STATEMENTS Copyright Cengage Learning. All rights reserved. SECTION 2.1 Logical Form and Logical Equivalence Copyright Cengage Learning. All rights reserved. Logical Form
More informationPropositional and Predicate Logic - II
Propositional and Predicate Logic - II Petr Gregor KTIML MFF UK WS 2016/2017 Petr Gregor (KTIML MFF UK) Propositional and Predicate Logic - II WS 2016/2017 1 / 16 Basic syntax Language Propositional logic
More informationPart 1: Propositional Logic
Part 1: Propositional Logic Literature (also for first-order logic) Schöning: Logik für Informatiker, Spektrum Fitting: First-Order Logic and Automated Theorem Proving, Springer 1 Last time 1.1 Syntax
More informationA Tableau-Based Decision Procedure for Right Propositional Neighborhood Logic (RPNL )
A Tableau-Based Decision Procedure for Right Propositional Neighborhood Logic (RPNL ) Davide Bresolin Angelo Montanari Dipartimento di Matematica e Informatica Università degli Studi di Udine {bresolin,
More informationDe Jongh s characterization of intuitionistic propositional calculus
De Jongh s characterization of intuitionistic propositional calculus Nick Bezhanishvili Abstract In his PhD thesis [10] Dick de Jongh proved a syntactic characterization of intuitionistic propositional
More information