Propositional Logic: Gentzen System, G

Size: px
Start display at page:

Download "Propositional Logic: Gentzen System, G"

Transcription

1 CS402, Spring 2017

2 Quiz on Thursday, 6th April: 15 minutes, two questions.

3 Sequent Calculus in G In Natural Deduction, each line in the proof consists of exactly one proposition. That is, A 1, A 2,..., A n B. In Sequent calculus, each line in the proof consists of zero or more propositions. That is, A 1, A 2,..., A n B 1, B 2,..., B k. The standard semantic is, whenever every A i is true, at least one B j will also be true.

4 Axioms in G Definition 1 (3.2, Ben-Ari) An axiom of G is a set of literals U containing a complementary pair. Note that sets in G are implicitly disjunctive. For example, { p, q, p} is an axiom, i.e. p, q, p in G.

5 Inference Rules in G Definition 2 (3.2, Ben-Ari) There are two types of inference rules, defined with reference to tables below: Let {α 1, α 2} U 1 and let U 1 = U 1 {α 1, α 2}. Then U = U 1 {α} can be inferred. Let {β 1} U 1, {β 2} U 2 and let U 1 = U 1 {β 1}, U 2 = U 2 {β 2}. Then U = U 1 U 2 {β} can be inferred.

6 Inference Rules in G U 1 {α 1, α 2 } U 1 {α} α U 1 {β 1} U 2 {β 2} U 1 U 2 {β} β α α 1 α 2 β β 1 β 2 α (α 1 α 2 ) α 1 α 2 α 1 α 2 α 1 α 2 α 1 α 2 α 1 α 2 α 1 α 2 α 1 α 2 (α 1 α 2 ) α 1 α 2 α (α 1 α 2 ) (α 1 α 2 ) (α 2 α 1 ) α 1 α 2 (α 1 α 2 ) (α 2 α 1 ) That is, α rules build up disjunctions. β 1 β 2 β 1 β 2 (β 1 β 2 ) β 1 β 2 (β 1 β 2 ) β 1 β 2 (β 1 β 2 ) β 1 β 2 β 1 β 2 β 1 β 2 β 1 β 2 β 1 β 2 β 2 β 1 (β 1 β 2 ) β 1 β 2 β 2 β 1 That is, β rules build up conjuntions (consider (a b) (c d) = a c (b d)).

7 Example Proof Prove that p (q r) (p q) (p r) in G. 1. p, p, q Axiom 2. p, (p q) α, 1 3. p, p, r Axiom 4. p, (p r) α, 3 5. p, (p q) (p r) β, 2, 4 6. q, r, p, q Axiom 7. q, r, (p q) α, 6 8. q, r, p, r Axiom 9. q, r, (p r) α, q, r, (p q) (p r) β, 7, (q r), (p q) (p r) α, (p (q r)), (p q) (p r) β, 5, p (q r) (p q) (p r) α, 12

8 Wait... How do you magically come up with the axioms { p, p, q}, { p, p, r}, { q, r, p, q}, and { q, r, p, r}? Haven t we seen something like this before?

9 (p q) (q p) ((p q) (q p)) Proof in G (p q), (q p) p, q, p q, q, p (p q), q, p (p q), q, p p, q, p q, q, p (p q), (q p) (p q) (q p) UNSAT UNSAT Semantic Tableau (Sets are conjunctive)

10 G and Semantic Tableau Theorem 1 (3.6, Ben-Ari) Let A be a formula in propositional logic. Then A in G if and only if there is a closed semantic tableaux for A. Theorem 2 (3.7, Ben-Ari) Let U be a set of formulas and let Ū be the set of complements of formulas in U. Then, U in G if and only if there is a closed semantic tableau for Ū.

11 G and Semantic Tableau We prove that, if there exists a closed semantic tableau for Ū, then U in G. The opposite direction is left for you. Proof. Let T be a closed semantic tableau for Ū. We prove U by induction on h, the height of T. If h = 0, then T consists of a single node labeled by Ū. By assumption, T is closed, so it contains a complementary pair of literals {p, p}, that is, Ū = Ū {p, p}. Obviously, U = U { p, p} is an axiom in G, hence U.

12 G and Semantic Tableau Proof. Cont. If h > 0, then some tableau rule was used on an α- or β-formula at the root of T on a formula φ Ū, that is, Ū = Ū φ. The proof proceeds by cases, where you must be careful to distinguish between applications of the tableau rules and applications of the Gentzen rules of the same name. Case 1: φ is an α-formula (such as) (A 1 A 2 ). The tableau rule created a child node labeled by the set of formulas Ū { A 1, A 2 }. By assumption, the subtree rooted at this node is a closed tableau, so by the inductive hypothesis, U {A 1, A 2 }. Using the appropriate rule of inference from G, we obtain U {A 1 A 2 }, that is, U {φ}, which is U.

13 G and Semantic Tableau Proof. If h > 0, then some tableau rule was used on an α- or β-formula at the root of T on a formula φ Ū, that is, Ū = Ū φ. The proof proceeds by cases, where you must be careful to distinguish between applications of the tableau rules and applications of the Gentzen rules of the same name. Case 2: φ is a β-formula (such as) (B 1 B 2 ). The tableau rule created two child nodes labeled by the sets of formulas Ū { B 1 } and Ū { B 2 }. By assumption, the subtrees rooted at this node are closed, so by the inductive hypothesis U {B 1 } and U {B 2 }. Using the appropriate rule of inference from G, we obtain U {B 1 B 2 }, that is, U {φ}, which is U.

14 Why G and not natural deduction? Taste. Or, more appropriately, aesthetics. Natural deduction feels more, umm, natural. It is also more simplistic; having multiple disjunct on the right hand side, in G, is clearly cumbersome and adds complexity. G shows the symmetric nature of negation more vividly. A 1,..., A n B 1,..., B k (A 1 A n ) (B 1 B k ) A 1 A 2 A n B 1 B 2 B k (A 1 A 2 A n B 1 B 2 B k )

15 Soundness and Completeness of G Theorem 3 (3.8 in Ben-Ari) = A if and only if A in G. Proof. A is valid iff A is unsatisfiable iff there is a closed semanti tableau for A iff there is a proof of A in G.

16 Exercises Prove the following in G: (A B) ( B A) (A B) (( A B) B) ((A B) A) A

Computational Logic. Davide Martinenghi. Spring Free University of Bozen-Bolzano. Computational Logic Davide Martinenghi (1/30)

Computational 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 information

Chapter 3: Propositional Calculus: Deductive Systems. September 19, 2008

Chapter 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 information

Propositional Calculus - Semantics (3/3) Moonzoo Kim CS Dept. KAIST

Propositional 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 information

Propositional Calculus - Deductive Systems

Propositional 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 information

Temporal Logic - Soundness and Completeness of L

Temporal Logic - Soundness and Completeness of L Temporal Logic - Soundness and Completeness of L CS402, Spring 2018 Soundness Theorem 1 (14.12) Let A be an LTL formula. If L A, then A. Proof. We need to prove the axioms and two inference rules to be

More information

Deductive Systems. Lecture - 3

Deductive 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 information

Predicate Logic - Deductive Systems

Predicate Logic - Deductive Systems CS402, Spring 2018 G for Predicate Logic Let s remind ourselves of semantic tableaux. Consider xp(x) xq(x) x(p(x) q(x)). ( xp(x) xq(x) x(p(x) q(x))) xp(x) xq(x), x(p(x) q(x)) xp(x), x(p(x) q(x)) xq(x),

More information

Propositional Logic Language

Propositional 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 information

Propositional Logic: Models and Proofs

Propositional 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 information

Propositional and Predicate Logic - V

Propositional 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 information

Chapter 11: Automated Proof Systems (1)

Chapter 11: Automated Proof Systems (1) Chapter 11: Automated Proof Systems (1) 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

More information

Propositional Calculus - Soundness & Completeness of H

Propositional 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 information

Chapter 11: Automated Proof Systems

Chapter 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 information

Description Logics. Deduction in Propositional Logic. franconi. Enrico Franconi

Description 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 information

Propositional Logic: Deductive Proof & Natural Deduction Part 1

Propositional Logic: Deductive Proof & Natural Deduction Part 1 Propositional Logic: Deductive Proof & Natural Deduction Part 1 CS402, Spring 2016 Shin Yoo Deductive Proof In propositional logic, a valid formula is a tautology. So far, we could show the validity of

More information

CHAPTER 10. Gentzen Style Proof Systems for Classical Logic

CHAPTER 10. Gentzen Style Proof Systems for Classical Logic CHAPTER 10 Gentzen Style Proof Systems for Classical Logic Hilbert style systems are easy to define and admit a simple proof of the Completeness Theorem but they are difficult to use. By humans, not mentioning

More information

Lecture 10: Gentzen Systems to Refinement Logic CS 4860 Spring 2009 Thursday, February 19, 2009

Lecture 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 information

Classical Propositional Logic

Classical 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 information

Version January Please send comments and corrections to

Version 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 information

Mathematical Logic Propositional Logic - Tableaux*

Mathematical 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 information

Natural Deduction. Formal Methods in Verification of Computer Systems Jeremy Johnson

Natural 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 information

3 Propositional Logic

3 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 information

Predicate Logic: Sematics Part 1

Predicate Logic: Sematics Part 1 Predicate Logic: Sematics Part 1 CS402, Spring 2018 Shin Yoo Predicate Calculus Propositional logic is also called sentential logic, i.e. a logical system that deals with whole sentences connected with

More information

Predicate Logic - Semantic Tableau

Predicate Logic - Semantic Tableau CS402, Spring 2016 Informal Construction of a Valid Formula Example 1 A valid formula: x(p(x) q(x)) ( xp(x) xq(x)) ( x(p(x) q(x)) ( xp(x) xq(x))) x(p(x) q(x)), ( xp(x) xq(x)) x(p(x) q(x)), xp(x), xq(x)

More information

Propositional Calculus - Hilbert system H Moonzoo Kim CS Division of EECS Dept. KAIST

Propositional Calculus - Hilbert system H Moonzoo Kim CS Division of EECS Dept. KAIST Propositional Calculus - Hilbert system H Moonzoo Kim CS Division of EECS Dept. KAIST moonzoo@cs.kaist.ac.kr http://pswlab.kaist.ac.kr/courses/cs402-07 1 Review Goal of logic To check whether given a formula

More information

Overview. 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. 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 information

Propositional Calculus: Formula Simplification, Essential Laws, Normal Forms

Propositional Calculus: Formula Simplification, Essential Laws, Normal Forms P Formula Simplification, Essential Laws, Normal Forms Lila Kari University of Waterloo P Formula Simplification, Essential Laws, Normal CS245, Forms Logic and Computation 1 / 26 Propositional calculus

More information

Learning Goals of CS245 Logic and Computation

Learning 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 information

Predicate Calculus - Semantic Tableau (2/2) Moonzoo Kim CS Division of EECS Dept. KAIST

Predicate Calculus - Semantic Tableau (2/2) Moonzoo Kim CS Division of EECS Dept. KAIST Predicate Calculus - Semantic Tableau (2/2) Moonzoo Kim CS Division of EECS Dept. KAIST moonzoo@cs.kaist.ac.kr http://pswlab.kaist.ac.kr/courses/cs402-07 1 Formal construction is explained in two steps

More information

Description Logics. Foundations of Propositional Logic. franconi. Enrico Franconi

Description Logics. Foundations of Propositional Logic.   franconi. Enrico Franconi (1/27) Description Logics Foundations of Propositional Logic Enrico Franconi franconi@cs.man.ac.uk http://www.cs.man.ac.uk/ franconi Department of Computer Science, University of Manchester (2/27) Knowledge

More information

Logic: Propositional Logic (Part I)

Logic: Propositional Logic (Part I) Logic: Propositional Logic (Part I) Alessandro Artale Free University of Bozen-Bolzano Faculty of Computer Science http://www.inf.unibz.it/ artale Descrete Mathematics and Logic BSc course Thanks to Prof.

More information

KE/Tableaux. What is it for?

KE/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 information

THE COMPLETENESS OF PROPOSITIONAL RESOLUTION A SIMPLE AND CONSTRUCTIVE PROOF

THE COMPLETENESS OF PROPOSITIONAL RESOLUTION A SIMPLE AND CONSTRUCTIVE PROOF Logical Methods in Computer Science Vol. 2 (5:3) 2006, pp. 1 7 www.lmcs-online.org Submitted Jun. 9, 2006 Published Nov. 07, 2006 THE COMPLETENESS OF PROPOSITIONAL RESOLUTION A SIMPLE AND CONSTRUCTIVE

More information

Propositional Logic: Part II - Syntax & Proofs 0-0

Propositional Logic: Part II - Syntax & Proofs 0-0 Propositional Logic: Part II - Syntax & Proofs 0-0 Outline Syntax of Propositional Formulas Motivating Proofs Syntactic Entailment and Proofs Proof Rules for Natural Deduction Axioms, theories and theorems

More information

Propositional Logic. Testing, Quality Assurance, and Maintenance Winter Prof. Arie Gurfinkel

Propositional 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 information

Language of Propositional Logic

Language of Propositional Logic Logic A logic has: 1. An alphabet that contains all the symbols of the language of the logic. 2. A syntax giving the rules that define the well formed expressions of the language of the logic (often called

More information

Propositional natural deduction

Propositional natural deduction Propositional natural deduction COMP2600 / COMP6260 Dirk Pattinson Australian National University Semester 2, 2016 Major proof techniques 1 / 25 Three major styles of proof in logic and mathematics Model

More information

Natural Deduction for Propositional Logic

Natural 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 information

Propositional Reasoning

Propositional Reasoning Propositional Reasoning CS 440 / ECE 448 Introduction to Artificial Intelligence Instructor: Eyal Amir Grad TAs: Wen Pu, Yonatan Bisk Undergrad TAs: Sam Johnson, Nikhil Johri Spring 2010 Intro to AI (CS

More information

Part 1: Propositional Logic

Part 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 information

02 Propositional Logic

02 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 information

Introduction to Logic in Computer Science: Autumn 2007

Introduction to Logic in Computer Science: Autumn 2007 Introduction to Logic in Computer Science: Autumn 2007 Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss 1 Tableaux for First-order Logic The next part of

More information

Syntax of FOL. Introduction to Logic in Computer Science: Autumn Tableaux for First-order Logic. Syntax of FOL (2)

Syntax of FOL. Introduction to Logic in Computer Science: Autumn Tableaux for First-order Logic. Syntax of FOL (2) Syntax of FOL Introduction to Logic in Computer Science: Autumn 2007 Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam The syntax of a language defines the way in which

More information

Propositional and Predicate Logic - IV

Propositional 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 information

Induction on Failing Derivations

Induction on Failing Derivations Induction on Failing Derivations Technical Report PL-Sep13 September 2013, with addenda from Spring 2016 ay Ligatti Department of Computer Science and Engineering University of South Florida Abstract A

More information

Knowledge base (KB) = set of sentences in a formal language Declarative approach to building an agent (or other system):

Knowledge base (KB) = set of sentences in a formal language Declarative approach to building an agent (or other system): Logic Knowledge-based agents Inference engine Knowledge base Domain-independent algorithms Domain-specific content Knowledge base (KB) = set of sentences in a formal language Declarative approach to building

More information

Propositional logic. Programming and Modal Logic

Propositional logic. Programming and Modal Logic Propositional logic Programming and Modal Logic 2006-2007 4 Contents Syntax of propositional logic Semantics of propositional logic Semantic entailment Natural deduction proof system Soundness and completeness

More information

Advanced Topics in LP and FP

Advanced Topics in LP and FP Lecture 1: Prolog and Summary of this lecture 1 Introduction to Prolog 2 3 Truth value evaluation 4 Prolog Logic programming language Introduction to Prolog Introduced in the 1970s Program = collection

More information

Introduction to Intuitionistic Logic

Introduction 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 information

SLD-Resolution And Logic Programming (PROLOG)

SLD-Resolution And Logic Programming (PROLOG) Chapter 9 SLD-Resolution And Logic Programming (PROLOG) 9.1 Introduction We have seen in Chapter 8 that the resolution method is a complete procedure for showing unsatisfiability. However, finding refutations

More information

Propositional Calculus - Hilbert system H Moonzoo Kim CS Dept. KAIST

Propositional Calculus - Hilbert system H Moonzoo Kim CS Dept. KAIST Propositional Calculus - Hilbert system H Moonzoo Kim CS Dept. KAIST moonzoo@cs.kaist.ac.kr CS402 1 Review Goal of logic To check whether given a formula Á is valid To prove a given formula Á ` Á Syntactic

More information

Warm-Up Problem. Is the following true or false? 1/35

Warm-Up Problem. Is the following true or false? 1/35 Warm-Up Problem Is the following true or false? 1/35 Propositional Logic: Resolution Carmen Bruni Lecture 6 Based on work by J Buss, A Gao, L Kari, A Lubiw, B Bonakdarpour, D Maftuleac, C Roberts, R Trefler,

More information

Introduction to Logic in Computer Science: Autumn 2006

Introduction to Logic in Computer Science: Autumn 2006 Introduction to Logic in Computer Science: Autumn 2006 Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss 1 Plan for Today The first part of the course will

More information

1 FUNDAMENTALS OF LOGIC NO.10 HERBRAND THEOREM Tatsuya Hagino hagino@sfc.keio.ac.jp lecture URL https://vu5.sfc.keio.ac.jp/slide/ 2 So Far Propositional Logic Logical connectives (,,, ) Truth table Tautology

More information

Logic for Computer Science - Week 4 Natural Deduction

Logic for Computer Science - Week 4 Natural Deduction Logic for Computer Science - Week 4 Natural Deduction 1 Introduction In the previous lecture we have discussed some important notions about the semantics of propositional logic. 1. the truth value of a

More information

Intelligent Systems. Propositional Logic. Dieter Fensel and Dumitru Roman. Copyright 2008 STI INNSBRUCK

Intelligent Systems. Propositional Logic. Dieter Fensel and Dumitru Roman. Copyright 2008 STI INNSBRUCK Intelligent Systems Propositional Logic Dieter Fensel and Dumitru Roman www.sti-innsbruck.at Copyright 2008 STI INNSBRUCK www.sti-innsbruck.at Where are we? # Title 1 Introduction 2 Propositional Logic

More information

A Resolution Method for Modal Logic S5

A Resolution Method for Modal Logic S5 EPiC Series in Computer Science Volume 36, 2015, Pages 252 262 GCAI 2015. Global Conference on Artificial Intelligence A Resolution Method for Modal Logic S5 Yakoub Salhi and Michael Sioutis Université

More information

Comp487/587 - Boolean Formulas

Comp487/587 - 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 information

Logic for Computer Scientists

Logic for Computer Scientists Logic for Computer Scientists Pascal Hitzler http://www.pascal-hitzler.de CS 499/699 Lecture, Winter Quarter 2011 Wright State University, Dayton, OH, U.S.A. [final version: 03/10/2011] Contents 1 Propositional

More information

Propositional Calculus - Natural deduction Moonzoo Kim CS Dept. KAIST

Propositional 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 information

Logic for Computer Scientists

Logic for Computer Scientists Logic for Computer Scientists Pascal Hitzler http://www.pascal-hitzler.de CS 499/699 Lecture, Spring Quarter 2010 Wright State University, Dayton, OH, U.S.A. Final version. Contents 1 Propositional Logic

More information

Resolution In Propositional Logic

Resolution In Propositional Logic Chapter 4 Resolution In Propositional Logic 4.1 Introduction In Chapter 3, a procedure for showing whether or not a given proposition is valid was given. This procedure, which uses a Gentzen system, yields

More information

Chapter 2 Propositional Logic: Formulas, Models, Tableaux

Chapter 2 Propositional Logic: Formulas, Models, Tableaux Chapter 2 Propositional Logic: Formulas, Models, Tableaux Propositional logic is a simple logical system that is the basis for all others. Propositions are claims like one plus one equals two and one plus

More information

SE 212: Logic and Computation. se212 Nancy Day

SE 212: Logic and Computation.   se212 Nancy Day E 212, Fall 2018, University of Waterloo, Module 2, Page 1 SE 212: Logic and Computation Module 2: Propositional Logic http://www.student.cs.uwaterloo.ca/ se212 se212@uwaterloo.ca Nancy Day E 212, Fall

More information

Automated Reasoning. Introduction to Logic in Computer Science: Autumn Different Forms of Reasoning. Tableaux for Propositional Logic

Automated Reasoning. Introduction to Logic in Computer Science: Autumn Different Forms of Reasoning. Tableaux for Propositional Logic What the dictionaries say: utomated Reasoning Introduction to Logic in Computer Science: utumn 2007 Ulle Endriss Institute for Logic, Language and Computation University of msterdam reasoning: the process

More information

Propositional Logic Sequent Calculus

Propositional Logic Sequent Calculus 1 / 16 Propositional Logic Sequent Calculus Mario Alviano University of Calabria, Italy A.Y. 2017/2018 Outline 2 / 16 1 Intuition 2 The LK system 3 Derivation 4 Summary 5 Exercises Outline 3 / 16 1 Intuition

More information

Propositional Resolution

Propositional Resolution Computational Logic Lecture 4 Propositional Resolution Michael Genesereth Spring 2005 Stanford University Modified by Charles Ling and TA, for CS2209 Use with permission Propositional Resolution Propositional

More information

First-Order Logic. Chapter Overview Syntax

First-Order Logic. Chapter Overview Syntax Chapter 10 First-Order Logic 10.1 Overview First-Order Logic is the calculus one usually has in mind when using the word logic. It is expressive enough for all of mathematics, except for those concepts

More information

Modal Logic XX. Yanjing Wang

Modal Logic XX. Yanjing Wang Modal Logic XX Yanjing Wang Department of Philosophy, Peking University May 6th, 2016 Advanced Modal Logic (2016 Spring) 1 Completeness A traditional view of Logic A logic Λ is a collection of formulas

More information

2.5.2 Basic CNF/DNF Transformation

2.5.2 Basic CNF/DNF Transformation 2.5. NORMAL FORMS 39 On the other hand, checking the unsatisfiability of CNF formulas or the validity of DNF formulas is conp-complete. For any propositional formula φ there is an equivalent formula in

More information

Propositional Resolution

Propositional Resolution Artificial Intelligence Propositional Resolution Marco Piastra Propositional Resolution 1] Deductive systems and automation Is problem decidible? A deductive system a la Hilbert (i.e. derivation using

More information

3.17 Semantic Tableaux for First-Order Logic

3.17 Semantic Tableaux for First-Order Logic 3.17 Semantic Tableaux for First-Order Logic There are two ways to extend the tableau calculus to quantified formulas: using ground instantiation using free variables Tableaux with Ground Instantiation

More information

First-Order Logic First-Order Theories. Roopsha Samanta. Partly based on slides by Aaron Bradley and Isil Dillig

First-Order Logic First-Order Theories. Roopsha Samanta. Partly based on slides by Aaron Bradley and Isil Dillig First-Order Logic First-Order Theories Roopsha Samanta Partly based on slides by Aaron Bradley and Isil Dillig Roadmap Review: propositional logic Syntax and semantics of first-order logic (FOL) Semantic

More information

CS 486: Applied Logic Lecture 7, February 11, Compactness. 7.1 Compactness why?

CS 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 information

Artificial Intelligence. Propositional Logic. Copyright 2011 Dieter Fensel and Florian Fischer

Artificial Intelligence. Propositional Logic. Copyright 2011 Dieter Fensel and Florian Fischer Artificial Intelligence Propositional Logic Copyright 2011 Dieter Fensel and Florian Fischer 1 Where are we? # Title 1 Introduction 2 Propositional Logic 3 Predicate Logic 4 Reasoning 5 Search Methods

More information

TR : Tableaux for the Logic of Proofs

TR : Tableaux for the Logic of Proofs City University of New York (CUNY) CUNY Academic Works Computer Science Technical Reports Graduate Center 2004 TR-2004001: Tableaux for the Logic of Proofs Bryan Renne Follow this and additional works

More information

Propositional and Predicate Logic - II

Propositional 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 information

A Tableau Calculus for Minimal Modal Model Generation

A Tableau Calculus for Minimal Modal Model Generation M4M 2011 A Tableau Calculus for Minimal Modal Model Generation Fabio Papacchini 1 and Renate A. Schmidt 2 School of Computer Science, University of Manchester Abstract Model generation and minimal model

More information

CS 512, Spring 2017, Handout 10 Propositional Logic: Conjunctive Normal Forms, Disjunctive Normal Forms, Horn Formulas, and other special forms

CS 512, Spring 2017, Handout 10 Propositional Logic: Conjunctive Normal Forms, Disjunctive Normal Forms, Horn Formulas, and other special forms CS 512, Spring 2017, Handout 10 Propositional Logic: Conjunctive Normal Forms, Disjunctive Normal Forms, Horn Formulas, and other special forms Assaf Kfoury 5 February 2017 Assaf Kfoury, CS 512, Spring

More information

Propositional and Predicate Logic. jean/gbooks/logic.html

Propositional and Predicate Logic.   jean/gbooks/logic.html CMSC 630 February 10, 2009 1 Propositional and Predicate Logic Sources J. Gallier. Logic for Computer Science, John Wiley and Sons, Hoboken NJ, 1986. 2003 revised edition available on line at http://www.cis.upenn.edu/

More information

Propositional logic. Programming and Modal Logic

Propositional logic. Programming and Modal Logic Propositional logic Programming and Modal Logic 2006-2007 4 Contents Syntax of propositional logic Semantics of propositional logic Semantic entailment Natural deduction proof system Soundness and completeness

More information

Knowledge representation DATA INFORMATION KNOWLEDGE WISDOM. Figure Relation ship between data, information knowledge and wisdom.

Knowledge 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 information

CS206 Lecture 03. Propositional Logic Proofs. Plan for Lecture 03. Axioms. Normal Forms

CS206 Lecture 03. Propositional Logic Proofs. Plan for Lecture 03. Axioms. Normal Forms CS206 Lecture 03 Propositional Logic Proofs G. Sivakumar Computer Science Department IIT Bombay siva@iitb.ac.in http://www.cse.iitb.ac.in/ siva Page 1 of 12 Fri, Jan 03, 2003 Plan for Lecture 03 Axioms

More information

α-formulas β-formulas

α-formulas β-formulas α-formulas Logic: Compendium http://www.ida.liu.se/ TDDD88/ Andrzej Szalas IDA, University of Linköping October 25, 2017 Rule α α 1 α 2 ( ) A 1 A 1 ( ) A 1 A 2 A 1 A 2 ( ) (A 1 A 2 ) A 1 A 2 ( ) (A 1 A

More information

Logic: First Order Logic

Logic: First Order Logic Logic: First Order Logic 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 information

Inference in Propositional Logic

Inference in Propositional Logic Inference in Propositional Logic Deepak Kumar November 2017 Propositional Logic A language for symbolic reasoning Proposition a statement that is either True or False. E.g. Bryn Mawr College is located

More information

Overview, cont. Overview, cont. Logistics. Optional Reference #1. Optional Reference #2. Workload and Grading

Overview, cont. Overview, cont. Logistics. Optional Reference #1. Optional Reference #2. Workload and Grading Course staff CS389L: Automated Logical Reasoning Lecture 1: ntroduction and Review of Basics şıl Dillig nstructor: şil Dillig E-mail: isil@cs.utexas.edu Office hours: Thursday after class until 6:30 pm

More information

Cooperation of Background Reasoners in Theory Reasoning by Residue Sharing

Cooperation of Background Reasoners in Theory Reasoning by Residue Sharing Cooperation of Background Reasoners in Theory Reasoning by Residue Sharing Cesare Tinelli tinelli@cs.uiowa.edu Department of Computer Science The University of Iowa Report No. 02-03 May 2002 i Cooperation

More information

Non-Analytic Tableaux for Chellas s Conditional Logic CK and Lewis s Logic of Counterfactuals VC

Non-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 information

Introduction to Artificial Intelligence Propositional Logic & SAT Solving. UIUC CS 440 / ECE 448 Professor: Eyal Amir Spring Semester 2010

Introduction to Artificial Intelligence Propositional Logic & SAT Solving. UIUC CS 440 / ECE 448 Professor: Eyal Amir Spring Semester 2010 Introduction to Artificial Intelligence Propositional Logic & SAT Solving UIUC CS 440 / ECE 448 Professor: Eyal Amir Spring Semester 2010 Today Representation in Propositional Logic Semantics & Deduction

More information

Announcements. CS243: Discrete Structures. Propositional Logic II. Review. Operator Precedence. Operator Precedence, cont. Operator Precedence Example

Announcements. CS243: Discrete Structures. Propositional Logic II. Review. Operator Precedence. Operator Precedence, cont. Operator Precedence Example Announcements CS243: Discrete Structures Propositional Logic II Işıl Dillig First homework assignment out today! Due in one week, i.e., before lecture next Tuesday 09/11 Weilin s Tuesday office hours are

More information

A Non-clausal Connection Calculus

A Non-clausal Connection Calculus A Non-clausal Connection Calculus Jens Otten Institut für Informatik, University of Potsdam August-Bebel-Str. 89, 14482 Potsdam-Babelsberg, Germany jeotten@cs.uni-potsdam.de Abstract. A non-clausal connection

More information

Cooperation of Background Reasoners in Theory Reasoning by Residue Sharing

Cooperation of Background Reasoners in Theory Reasoning by Residue Sharing Cooperation of Background Reasoners in Theory Reasoning by Residue Sharing Cesare Tinelli (tinelli@cs.uiowa.edu) Department of Computer Science The University of Iowa Iowa City, IA, USA Abstract. We propose

More information

Saturation up to Redundancy for Tableau and Sequent Calculi

Saturation up to Redundancy for Tableau and Sequent Calculi Saturation up to Redundancy for Tableau and Sequent Calculi Martin Giese Dept. of Computer Science University of Oslo Norway Oslo, June 13, 2008 p.1/30 Acknowledgment This work was done during my employment

More information

Applied Logic. Lecture 1 - Propositional logic. Marcin Szczuka. Institute of Informatics, The University of Warsaw

Applied Logic. Lecture 1 - Propositional logic. Marcin Szczuka. Institute of Informatics, The University of Warsaw Applied Logic Lecture 1 - Propositional logic Marcin Szczuka Institute of Informatics, The University of Warsaw Monographic lecture, Spring semester 2017/2018 Marcin Szczuka (MIMUW) Applied Logic 2018

More information

Semantics and Pragmatics of NLP

Semantics 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 information

Hypersequent Calculi for some Intermediate Logics with Bounded Kripke Models

Hypersequent Calculi for some Intermediate Logics with Bounded Kripke Models Hypersequent Calculi for some Intermediate Logics with Bounded Kripke Models Agata Ciabattoni Mauro Ferrari Abstract In this paper we define cut-free hypersequent calculi for some intermediate logics semantically

More information

Tableau vs. Sequent Calculi for Minimal Entailment

Tableau vs. Sequent Calculi for Minimal Entailment Electronic Colloquium on Computational Complexity, Report No. 32 (2014) Tableau vs. Sequent Calculi for Minimal Entailment Olaf Beyersdorff and Leroy Chew School of Computing, University of Leeds, UK Abstract.

More information

17.1 Correctness of First-Order Tableaux

17.1 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 information

Tecniche di Verifica. Introduction to Propositional Logic

Tecniche di Verifica. Introduction to Propositional Logic Tecniche di Verifica Introduction to Propositional Logic 1 Logic A formal logic is defined by its syntax and semantics. Syntax An alphabet is a set of symbols. A finite sequence of these symbols is called

More information