Artificial Intelligence: Knowledge Representation and Reasoning Week 2 Assessment 1 - Answers

Size: px
Start display at page:

Download "Artificial Intelligence: Knowledge Representation and Reasoning Week 2 Assessment 1 - Answers"

Transcription

1 Artificial Intelligence: Knowledge Representation and Reasoning Week 2 Assessment 1 - Answers 1. When is an inference rule {a1, a2,.., an} c sound? (b) a. When ((a1 a2 an) c) is a tautology b. When ((a1 a2 an) c) is a tautology c. When (a1 a2 an c) is a tautology d. When (a1 a2 an c) is a tautology 2. What are the features of Frege s propositional calculus? (a, d) a. It consists of just two operators - negation and implication b. It consists of just two operators - implication and disjunction c. It consists of 11 inference rules d. It consists of 1 inference rule 3. Is the following proof valid for the premises, P, (P Q), (R Q), R to get the result S? (a) 1. P 2. P Q 3. Q (1, 2, modus ponens) 4. Q S (3, addition) 5. R 6. R Q 7. Q (5, 6, modus ponens) 8. S (4, 7, disjunctive syllogism) a. valid, you can derive anything in an inconsistent KB b. not valid c. valid but not interpretable d. not valid because KB is inconsistent 4. Which formula(s) is/are equivalent to (P op Q) defined in the following truth table? (b, c) a. P Q b. (P Q) c. (P Q) ( P Q) d. P Q P Q P op Q T T T T F F F T F F F T

2 5. Which of the following are equivalent? (b) 1. P Q 2. P Q 3. Q P 4. P or Q a. Only 1 and 2 b. Only 1, 2 and 3 c. Only 1, 2 and 4 d. none are equivalent 6. There are two kinds of people on an island - Knights and Knaves. Knights always speak the truth and Knaves always lie. You are on this island. You meet two people who say the following. Suresh: Neither of us are knights Smitha: If Suresh is a knight, then I am a knave Which of the following is true? (Please see the appendix below for discussion) (c) a. Suresh is a knight and Smitha is a knave b. Suresh is a knight and Smitha is a knight c. Suresh is a knave and Smitha is a knight d. Suresh is a knave and Smitha is a knave. 7. Which of the following sets of connectives are functionally complete? (a, b, c, d) a. {not, and} b. {nand} c. {not, and, or} d. {nor} 8. Identify the tautology/tautologies below. (a, b, c) a. P P b. (( P Q) P) P c. (P Q) (Q P) d. P ʌ P 9. Consider the 4 propositions P, Q, R, S. Given P Q and R S, which of the following is true or entailed (a,c) a. P (Q S) b. Q P c. S R d. Q P

3 10. In the course introduction video, there were two arguments A1: If the earth were spherical, it would cast curved shadows on the moon. It casts curved shadows on the moon. So, it must be spherical. A2: If he used good bait (G) and the fish weren t smarter ( S) than he was, then he didn t go hungry ( H). But he used good bait (G) and he did go hungry (H), so the fish must ve been smarter (S) than he was. Which of the following is true? (c) a. A1 is a valid argument but not A2 b. Both are valid arguments c. A2 is a valid argument but not A1 d. Neither is a valid argument Consider A1. Let us name the relevant propositions. S - The earth is spherical C - The earth casts curved shadows on the moon S C C S This is not a sound/valid argument, this is abduction (From Q and P Q, infer Q). This can be shown by showing that ((P Q) ʌ Q) P is not a tautology. Alternatively one can give a counter example where the premises are true and the conclusion false. For example, if S is false, and C is true, the conclusion S is false. Consider A2 : This is a valid argument. The proof is given below. Given the premises, 1. (G S) H 2. G H To derive: S 3. H 2 Simplification 4. (G S) 3, 1, Modus tollens 5. G S 4, de Morgan 6. G 2, Simplification 7. S 5, 6, Disjunctive Syllogism

4 11. Which of the following is a result of the application of the Resolution Rule on the two clauses (P Q) and ( P Q)? (b,c) a. null/empty clause b.(p P) (a Tautology) c. (Q Q) (a Tautology) d. Cannot be resolved 12. Given the following set of clauses: 1. P Q 2. P S R 3. S T P 4. Q R 5. T Q 6. R S Q Which of the following pairs can be resolved together? (a, c, f, h, i, j) a. 1, 2 (P Q), ( P S R) ( Q S R) b. 1, 4 c. 3, 5 (S T P), ( T Q) (S P Q) d. 4, 6 e. 2, 5 f. 2, 6 ( P S R), (R S Q) ( P S Q) g. 1, 6 h. 3, 6 (S T P), (R S Q) (T R Q) i. 4, 5 ( Q R), ( T Q) (R T) j. 1, 5 (P Q), ( T Q) (P T)

5 Appendix: Formalizing knights and knaves problems There are two kinds of people on an island - knights and knaves. Knights always speak the truth and knaves always lie. You are on this island. You meet two people who say the following. Suresh: Neither of us are knights Smita: If Suresh is a knight, then I am a knave The task is to determine whether each of Suresh and Smita is a knight or a knave. The problem states that there are two types of people, knights and knaves. If a person is a knight, then whatever she says is true. Similarly, if a person is knave, then whatever she says is false. The fact that knights always tell the truth and knaves always lie cannot be represented in FOL. This is because the utterances made by people are themselves sentences. However, extensions to Modal Logic can capture such facts. Then we can express the facts as shown below. Observe that the argument P to Says is a sentence (and not a term). x (Knight(x) P(Says(x, P) P))) x (Knave(x) P(Says(x, P) P))) Working with Propositional Language we can circumvent the Modal statements and directly relate the nature of the speaker with what she says, and we have to do this for each statement in the problem. For a given statement P, Knight P and Knave P Further, since each person is either a knight or a knave, the following holds for each of Suresh and Smita. Knave(Suresh) Knight(Suresh) Knave(Smita) Knight(Smita) We need two propositions, say H and A to represent Knight(Suresh) and Knight(Smita) respectively. Then H and A will represent that Suresh and Smita are knaves respectively. We need to assert the conditional truth values of each utterance as follows. For example, if Suresh has asserted the proposition/sentence P, then the following holds, (H P) ( H P) Note that this is equivalent to (H P). In the given problem, Suresh says that neither he nor Smita is a knight i.e. ( H A). Thus we have, H ( H A)

6 Smita says that if Suresh is a knight, then she is a knave i.e. (H A). Thus we have, A (H A) The problem then reduces to finding a satisfying assignment for the two statements, that is, for (H ( H A)) (A (H A)) This can be done by inspecting the complete truth table. We leave that as an exercise for the reader. Here we show how one can reason with assumptions. Case 1: (Assume H) Suresh is a knight. If Suresh is a knight, then his statement ( H A) is true. 1. H (Assumption) 2. H A (because (H ( H A))) 3. H (2, simplification) 4. H H (1, 3,addition) 5. False (4, contradiction) 6. H (negation of assumption 1 by contradiction) Therefore Suresh is a knave. Hence the negation of his statement must be true, because ( H ( H A)). 7. ( H A) (6 and because ( H ( H A))) 8. H A (7, de Morgan s Law) 9. A (6, 8, disjunctive syllogism) Thus Suresh is a knave ( H is true), and Smita is a knight (A is true). We encourage the reader to show that this problem has no other solution. That is, any other assignment to H and A leads to a contradiction. Or equivalently no other row in the truth table has true in the last column for (H ( H A)) (A (H A)). The interested reader would have noted that the conclusion was arrived at only on the basis of the statement made by Suresh. What if Smita had told a lie too? She could have, for example, made the same statement as Suresh i.e. ( H A). The reader is encouraged to ponder over this impossible scenario!

MACM 101 Discrete Mathematics I. Exercises on Propositional Logic. Due: Tuesday, September 29th (at the beginning of the class)

MACM 101 Discrete Mathematics I. Exercises on Propositional Logic. Due: Tuesday, September 29th (at the beginning of the class) MACM 101 Discrete Mathematics I Exercises on Propositional Logic. Due: Tuesday, September 29th (at the beginning of the class) SOLUTIONS 1. Construct a truth table for the following compound proposition:

More information

The Logic of Compound Statements cont.

The Logic of Compound Statements cont. The Logic of Compound Statements cont. CSE 215, Computer Science 1, Fall 2011 Stony Brook University http://www.cs.stonybrook.edu/~cse215 Refresh from last time: Logical Equivalences Commutativity of :

More information

CHAPTER 1 - LOGIC OF COMPOUND STATEMENTS

CHAPTER 1 - LOGIC OF COMPOUND STATEMENTS CHAPTER 1 - LOGIC OF COMPOUND STATEMENTS 1.1 - Logical Form and Logical Equivalence Definition. A statement or proposition is a sentence that is either true or false, but not both. ex. 1 + 2 = 3 IS a statement

More information

PROPOSITIONAL CALCULUS

PROPOSITIONAL CALCULUS PROPOSITIONAL CALCULUS A proposition is a complete declarative sentence that is either TRUE (truth value T or 1) or FALSE (truth value F or 0), but not both. These are not propositions! Connectives and

More information

2. The Logic of Compound Statements Summary. Aaron Tan August 2017

2. 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 information

Propositional Logic. Argument Forms. Ioan Despi. University of New England. July 19, 2013

Propositional Logic. Argument Forms. Ioan Despi. University of New England. July 19, 2013 Propositional Logic Argument Forms Ioan Despi despi@turing.une.edu.au University of New England July 19, 2013 Outline Ioan Despi Discrete Mathematics 2 of 1 Order of Precedence Ioan Despi Discrete Mathematics

More information

Section 1.2: Propositional Logic

Section 1.2: Propositional Logic Section 1.2: Propositional Logic January 17, 2017 Abstract Now we re going to use the tools of formal logic to reach logical conclusions ( prove theorems ) based on wffs formed by some given statements.

More information

Chapter 1: The Logic of Compound Statements. January 7, 2008

Chapter 1: The Logic of Compound Statements. January 7, 2008 Chapter 1: The Logic of Compound Statements January 7, 2008 Outline 1 1.1 Logical Form and Logical Equivalence 2 1.2 Conditional Statements 3 1.3 Valid and Invalid Arguments Central notion of deductive

More information

A Quick Lesson on Negation

A Quick Lesson on Negation A Quick Lesson on Negation Several of the argument forms we have looked at (modus tollens and disjunctive syllogism, for valid forms; denying the antecedent for invalid) involve a type of statement which

More information

Natural Deduction is a method for deriving the conclusion of valid arguments expressed in the symbolism of propositional logic.

Natural Deduction is a method for deriving the conclusion of valid arguments expressed in the symbolism of propositional logic. Natural Deduction is a method for deriving the conclusion of valid arguments expressed in the symbolism of propositional logic. The method consists of using sets of Rules of Inference (valid argument forms)

More information

Lecture 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) 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 information

n logical not (negation) n logical or (disjunction) n logical and (conjunction) n logical exclusive or n logical implication (conditional)

n logical not (negation) n logical or (disjunction) n logical and (conjunction) n logical exclusive or n logical implication (conditional) Discrete Math Review Discrete Math Review (Rosen, Chapter 1.1 1.6) TOPICS Propositional Logic Logical Operators Truth Tables Implication Logical Equivalence Inference Rules What you should know about propositional

More information

CSC Discrete Math I, Spring Propositional Logic

CSC Discrete Math I, Spring Propositional Logic CSC 125 - Discrete Math I, Spring 2017 Propositional Logic Propositions A proposition is a declarative sentence that is either true or false Propositional Variables A propositional variable (p, q, r, s,...)

More information

Introduction Logic Inference. Discrete Mathematics Andrei Bulatov

Introduction Logic Inference. Discrete Mathematics Andrei Bulatov Introduction Logic Inference Discrete Mathematics Andrei Bulatov Discrete Mathematics - Logic Inference 6-2 Previous Lecture Laws of logic Expressions for implication, biconditional, exclusive or Valid

More information

Logic and Proofs. Jan COT3100: Applications of Discrete Structures Jan 2007

Logic and Proofs. Jan COT3100: Applications of Discrete Structures Jan 2007 COT3100: Propositional Equivalences 1 Logic and Proofs Jan 2007 COT3100: Propositional Equivalences 2 1 Translating from Natural Languages EXAMPLE. Translate the following sentence into a logical expression:

More information

10/5/2012. Logic? What is logic? Propositional Logic. Propositional Logic (Rosen, Chapter ) Logic is a truth-preserving system of inference

10/5/2012. Logic? What is logic? Propositional Logic. Propositional Logic (Rosen, Chapter ) Logic is a truth-preserving system of inference Logic? Propositional Logic (Rosen, Chapter 1.1 1.3) TOPICS Propositional Logic Truth Tables Implication Logical Proofs 10/1/12 CS160 Fall Semester 2012 2 What is logic? Logic is a truth-preserving system

More information

Chapter Summary. Propositional Logic. Predicate Logic. Proofs. The Language of Propositions (1.1) Applications (1.2) Logical Equivalences (1.

Chapter Summary. Propositional Logic. Predicate Logic. Proofs. The Language of Propositions (1.1) Applications (1.2) Logical Equivalences (1. Chapter 1 Chapter Summary Propositional Logic The Language of Propositions (1.1) Applications (1.2) Logical Equivalences (1.3) Predicate Logic The Language of Quantifiers (1.4) Logical Equivalences (1.4)

More information

Propositional Logic. Jason Filippou UMCP. ason Filippou UMCP) Propositional Logic / 38

Propositional Logic. Jason Filippou UMCP. ason Filippou UMCP) Propositional Logic / 38 Propositional Logic Jason Filippou CMSC250 @ UMCP 05-31-2016 ason Filippou (CMSC250 @ UMCP) Propositional Logic 05-31-2016 1 / 38 Outline 1 Syntax 2 Semantics Truth Tables Simplifying expressions 3 Inference

More information

Chapter 1, Part I: Propositional Logic. With Question/Answer Animations

Chapter 1, Part I: Propositional Logic. With Question/Answer Animations Chapter 1, Part I: Propositional Logic With Question/Answer Animations Chapter Summary Propositional Logic The Language of Propositions Applications Logical Equivalences Predicate Logic The Language of

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

CS 2740 Knowledge Representation. Lecture 4. Propositional logic. CS 2740 Knowledge Representation. Administration

CS 2740 Knowledge Representation. Lecture 4. Propositional logic. CS 2740 Knowledge Representation. Administration Lecture 4 Propositional logic Milos Hauskrecht milos@cs.pitt.edu 5329 Sennott Square dministration Homework assignment 1 is out Due next week on Wednesday, September 17 Problems: LISP programming a PL

More information

Propositional Logic: Review

Propositional Logic: Review Propositional Logic: Review Propositional logic Logical constants: true, false Propositional symbols: P, Q, S,... (atomic sentences) Wrapping parentheses: ( ) Sentences are combined by connectives:...and...or

More information

Artificial Intelligence. Propositional logic

Artificial Intelligence. Propositional logic Artificial Intelligence Propositional logic Propositional Logic: Syntax Syntax of propositional logic defines allowable sentences Atomic sentences consists of a single proposition symbol Each symbol stands

More information

COM S 330 Homework 02 Solutions. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem.

COM S 330 Homework 02 Solutions. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem. Problem 1. [5pts] Construct a truth table for the compound proposition (p q) ( p r). Solution: (only

More information

Propositional Logic Arguments (5A) Young W. Lim 11/30/16

Propositional Logic Arguments (5A) Young W. Lim 11/30/16 Propositional Logic (5A) Young W. Lim Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version

More information

Packet #1: Logic & Proofs. Applied Discrete Mathematics

Packet #1: Logic & Proofs. Applied Discrete Mathematics Packet #1: Logic & Proofs Applied Discrete Mathematics Table of Contents Course Objectives Page 2 Propositional Calculus Information Pages 3-13 Course Objectives At the conclusion of this course, you should

More information

COMP219: Artificial Intelligence. Lecture 19: Logic for KR

COMP219: Artificial Intelligence. Lecture 19: Logic for KR COMP219: Artificial Intelligence Lecture 19: Logic for KR 1 Overview Last time Expert Systems and Ontologies Today Logic as a knowledge representation scheme Propositional Logic Syntax Semantics Proof

More information

Propositional Logic. Spring Propositional Logic Spring / 32

Propositional Logic. Spring Propositional Logic Spring / 32 Propositional Logic Spring 2016 Propositional Logic Spring 2016 1 / 32 Introduction Learning Outcomes for this Presentation Learning Outcomes... At the conclusion of this session, we will Define the elements

More information

COMP219: Artificial Intelligence. Lecture 19: Logic for KR

COMP219: Artificial Intelligence. Lecture 19: Logic for KR COMP219: Artificial Intelligence Lecture 19: Logic for KR 1 Overview Last time Expert Systems and Ontologies Today Logic as a knowledge representation scheme Propositional Logic Syntax Semantics Proof

More information

EECS 1028 M: Discrete Mathematics for Engineers

EECS 1028 M: Discrete Mathematics for Engineers EECS 1028 M: Discrete Mathematics for Engineers Suprakash Datta Office: LAS 3043 Course page: http://www.eecs.yorku.ca/course/1028 Also on Moodle S. Datta (York Univ.) EECS 1028 W 18 1 / 12 Using the laws

More information

Supplementary Logic Notes CSE 321 Winter 2009

Supplementary Logic Notes CSE 321 Winter 2009 1 Propositional Logic Supplementary Logic Notes CSE 321 Winter 2009 1.1 More efficient truth table methods The method of using truth tables to prove facts about propositional formulas can be a very tedious

More information

Homework 2: Solutions

Homework 2: Solutions Homework 2: Solutions ECS 20 (Fall 2014) Patrice Koehl koehl@cs.ucdavis.edu October 7, 2014 Exercise 1 Construct a truth table for each of these compound propositions: a) (p q) (p q) p q p q p q (p q)

More information

Sample Problems for all sections of CMSC250, Midterm 1 Fall 2014

Sample Problems for all sections of CMSC250, Midterm 1 Fall 2014 Sample Problems for all sections of CMSC250, Midterm 1 Fall 2014 1. Translate each of the following English sentences into formal statements using the logical operators (,,,,, and ). You may also use mathematical

More information

Propositional Logic Arguments (5A) Young W. Lim 10/11/16

Propositional Logic Arguments (5A) Young W. Lim 10/11/16 Propositional Logic (5A) Young W. Lim Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version

More information

Logic Overview, I. and T T T T F F F T F F F F

Logic Overview, I. and T T T T F F F T F F F F Logic Overview, I DEFINITIONS A statement (proposition) is a declarative sentence that can be assigned a truth value T or F, but not both. Statements are denoted by letters p, q, r, s,... The 5 basic logical

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

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

Propositional Language - Semantics

Propositional Language - Semantics Propositional Language - Semantics Lila Kari University of Waterloo Propositional Language - Semantics CS245, Logic and Computation 1 / 41 Syntax and semantics Syntax Semantics analyzes Form analyzes Meaning

More information

COMP 182 Algorithmic Thinking. Proofs. Luay Nakhleh Computer Science Rice University

COMP 182 Algorithmic Thinking. Proofs. Luay Nakhleh Computer Science Rice University COMP 182 Algorithmic Thinking Proofs Luay Nakhleh Computer Science Rice University 1 Reading Material Chapter 1, Section 3, 6, 7, 8 Propositional Equivalences The compound propositions p and q are called

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

THE LOGIC OF COMPOUND STATEMENTS

THE LOGIC OF COMPOUND STATEMENTS THE LOGIC OF COMPOUND STATEMENTS All dogs have four legs. All tables have four legs. Therefore, all dogs are tables LOGIC Logic is a science of the necessary laws of thought, without which no employment

More information

Test 1 Solutions(COT3100) (1) Prove that the following Absorption Law is correct. I.e, prove this is a tautology:

Test 1 Solutions(COT3100) (1) Prove that the following Absorption Law is correct. I.e, prove this is a tautology: Test 1 Solutions(COT3100) Sitharam (1) Prove that the following Absorption Law is correct. I.e, prove this is a tautology: ( q (p q) (r p)) r Solution. This is Modus Tollens applied twice, with transitivity

More information

CS250: Discrete Math for Computer Science. L6: CNF and Natural Deduction for PropCalc

CS250: Discrete Math for Computer Science. L6: CNF and Natural Deduction for PropCalc CS250: Discrete Math for Computer Science L6: CNF and Natural Deduction for PropCalc How to Simplify a PropCalc Formula: (p q) ((q r) p) How to Simplify a PropCalc Formula: 1. Get rid of s using def. of

More information

Logic. Definition [1] A logic is a formal language that comes with rules for deducing the truth of one proposition from the truth of another.

Logic. Definition [1] A logic is a formal language that comes with rules for deducing the truth of one proposition from the truth of another. Math 0413 Appendix A.0 Logic Definition [1] A logic is a formal language that comes with rules for deducing the truth of one proposition from the truth of another. This type of logic is called propositional.

More information

5. And. 5.1 The conjunction

5. And. 5.1 The conjunction 5. And 5.1 The conjunction To make our logical language more easy and intuitive to use, we can now add to it elements that make it able to express the equivalents of other sentences from a natural language

More information

Propositional Logic Arguments (5A) Young W. Lim 11/8/16

Propositional Logic Arguments (5A) Young W. Lim 11/8/16 Propositional Logic (5A) Young W. Lim Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version

More information

The Importance of Being Formal. Martin Henz. February 5, Propositional Logic

The 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 information

Knowledge based Agents

Knowledge based Agents Knowledge based Agents Shobhanjana Kalita Dept. of Computer Science & Engineering Tezpur University Slides prepared from Artificial Intelligence A Modern approach by Russell & Norvig Knowledge Based Agents

More information

Logic and Inferences

Logic and Inferences Artificial Intelligence Logic and Inferences Readings: Chapter 7 of Russell & Norvig. Artificial Intelligence p.1/34 Components of Propositional Logic Logic constants: True (1), and False (0) Propositional

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

1) Let h = John is healthy, w = John is wealthy and s = John is wise Write the following statement is symbolic form

1) Let h = John is healthy, w = John is wealthy and s = John is wise Write the following statement is symbolic form Math 378 Exam 1 Spring 2009 Show all Work Name 1) Let h = John is healthy, w = John is wealthy and s = John is wise Write the following statement is symbolic form a) In order for John to be wealthy it

More information

Definition 2. Conjunction of p and q

Definition 2. Conjunction of p and q Proposition Propositional Logic CPSC 2070 Discrete Structures Rosen (6 th Ed.) 1.1, 1.2 A proposition is a statement that is either true or false, but not both. Clemson will defeat Georgia in football

More information

Section 1.1: Logical Form and Logical Equivalence

Section 1.1: Logical Form and Logical Equivalence Section 1.1: Logical Form and Logical Equivalence An argument is a sequence of statements aimed at demonstrating the truth of an assertion. The assertion at the end of an argument is called the conclusion,

More information

5. And. 5.1 The conjunction

5. And. 5.1 The conjunction 5. And 5.1 The conjunction To make our logical language more easy and intuitive to use, we can now add to it elements that make it able to express the equivalents of other sentences from a natural language

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

Predicate Logic. Andreas Klappenecker

Predicate Logic. Andreas Klappenecker Predicate Logic Andreas Klappenecker Predicates A function P from a set D to the set Prop of propositions is called a predicate. The set D is called the domain of P. Example Let D=Z be the set of integers.

More information

5. Use a truth table to determine whether the two statements are equivalent. Let t be a tautology and c be a contradiction.

5. Use a truth table to determine whether the two statements are equivalent. Let t be a tautology and c be a contradiction. Statements Compounds and Truth Tables. Statements, Negations, Compounds, Conjunctions, Disjunctions, Truth Tables, Logical Equivalence, De Morgan s Law, Tautology, Contradictions, Proofs with Logical Equivalent

More information

FORMAL PROOFS DONU ARAPURA

FORMAL PROOFS DONU ARAPURA FORMAL PROOFS DONU ARAPURA This is a supplement for M385 on formal proofs in propositional logic. Rather than following the presentation of Rubin, I want to use a slightly different set of rules which

More information

A Little Deductive Logic

A Little Deductive Logic A Little Deductive Logic In propositional or sentential deductive logic, we begin by specifying that we will use capital letters (like A, B, C, D, and so on) to stand in for sentences, and we assume that

More information

Manual of Logical Style

Manual of Logical Style Manual of Logical Style Dr. Holmes January 9, 2015 Contents 1 Introduction 2 2 Conjunction 3 2.1 Proving a conjunction...................... 3 2.2 Using a conjunction........................ 3 3 Implication

More information

Logical forms and substitution instances. Philosophy and Logic Unit 2, Section 2.1

Logical forms and substitution instances. Philosophy and Logic Unit 2, Section 2.1 Logical forms and substitution instances Philosophy and Logic Unit 2, Section 2.1 Avoiding impossibility A valid deductive argument is an argument with a valid logical form. An argument has a valid logical

More information

Overview. Knowledge-Based Agents. Introduction. COMP219: Artificial Intelligence. Lecture 19: Logic for KR

Overview. Knowledge-Based Agents. Introduction. COMP219: Artificial Intelligence. Lecture 19: Logic for KR COMP219: Artificial Intelligence Lecture 19: Logic for KR Last time Expert Systems and Ontologies oday Logic as a knowledge representation scheme Propositional Logic Syntax Semantics Proof theory Natural

More information

At least one of us is a knave. What are A and B?

At least one of us is a knave. What are A and B? 1. This is a puzzle about an island in which everyone is either a knight or a knave. Knights always tell the truth and knaves always lie. This problem is about two people A and B, each of whom is either

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

1.1 Statements and Compound Statements

1.1 Statements and Compound Statements Chapter 1 Propositional Logic 1.1 Statements and Compound Statements A statement or proposition is an assertion which is either true or false, though you may not know which. That is, a statement is something

More information

Propositional Logic Arguments (5A) Young W. Lim 2/23/17

Propositional Logic Arguments (5A) Young W. Lim 2/23/17 Propositional Logic (5A) Young W. Lim Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version

More information

n Empty Set:, or { }, subset of all sets n Cardinality: V = {a, e, i, o, u}, so V = 5 n Subset: A B, all elements in A are in B

n Empty Set:, or { }, subset of all sets n Cardinality: V = {a, e, i, o, u}, so V = 5 n Subset: A B, all elements in A are in B Discrete Math Review Discrete Math Review (Rosen, Chapter 1.1 1.7, 5.5) TOPICS Sets and Functions Propositional and Predicate Logic Logical Operators and Truth Tables Logical Equivalences and Inference

More information

Introduction to Metalogic

Introduction to Metalogic Philosophy 135 Spring 2008 Tony Martin Introduction to Metalogic 1 The semantics of sentential logic. The language L of sentential logic. Symbols of L: Remarks: (i) sentence letters p 0, p 1, p 2,... (ii)

More information

MAI0203 Lecture 7: Inference and Predicate Calculus

MAI0203 Lecture 7: Inference and Predicate Calculus MAI0203 Lecture 7: Inference and Predicate Calculus Methods of Artificial Intelligence WS 2002/2003 Part II: Inference and Knowledge Representation II.7 Inference and Predicate Calculus MAI0203 Lecture

More information

Chapter 1, Part I: Propositional Logic. With Question/Answer Animations

Chapter 1, Part I: Propositional Logic. With Question/Answer Animations Chapter 1, Part I: Propositional Logic With Question/Answer Animations Chapter Summary! Propositional Logic! The Language of Propositions! Applications! Logical Equivalences! Predicate Logic! The Language

More information

Tautologies, Contradictions, and Contingencies

Tautologies, Contradictions, and Contingencies Section 1.3 Tautologies, Contradictions, and Contingencies A tautology is a proposition which is always true. Example: p p A contradiction is a proposition which is always false. Example: p p A contingency

More information

Chapter 2: The Logic of Compound Statements

Chapter 2: The Logic of Compound Statements Chapter 2: he Logic of Compound Statements irst: Aristotle (Gr. 384-322 BC) Collection of rules for deductive reasoning to be used in every branch of knowledge Next: Gottfried Leibniz (German, 17th century)

More information

A Little Deductive Logic

A Little Deductive Logic A Little Deductive Logic In propositional or sentential deductive logic, we begin by specifying that we will use capital letters (like A, B, C, D, and so on) to stand in for sentences, and we assume that

More information

ANS: If you are in Kwangju then you are in South Korea but not in Seoul.

ANS: If you are in Kwangju then you are in South Korea but not in Seoul. Math 15 - Spring 2017 - Homework 1.1 and 1.2 Solutions 1. (1.1#1) Let the following statements be given. p = There is water in the cylinders. q = The head gasket is blown. r = The car will start. (a) Translate

More information

3/29/2017. Logic. Propositions and logical operations. Main concepts: propositions truth values propositional variables logical operations

3/29/2017. Logic. Propositions and logical operations. Main concepts: propositions truth values propositional variables logical operations Logic Propositions and logical operations Main concepts: propositions truth values propositional variables logical operations 1 Propositions and logical operations A proposition is the most basic element

More information

First-Degree Entailment

First-Degree Entailment March 5, 2013 Relevance Logics Relevance logics are non-classical logics that try to avoid the paradoxes of material and strict implication: p (q p) p (p q) (p q) (q r) (p p) q p (q q) p (q q) Counterintuitive?

More information

Today s Lecture 2/25/10. Truth Tables Continued Introduction to Proofs (the implicational rules of inference)

Today s Lecture 2/25/10. Truth Tables Continued Introduction to Proofs (the implicational rules of inference) Today s Lecture 2/25/10 Truth Tables Continued Introduction to Proofs (the implicational rules of inference) Announcements Homework: -- Ex 7.3 pg. 320 Part B (2-20 Even). --Read chapter 8.1 pgs. 345-361.

More information

2/2/2018. CS 103 Discrete Structures. Chapter 1. Propositional Logic. Chapter 1.1. Propositional Logic

2/2/2018. CS 103 Discrete Structures. Chapter 1. Propositional Logic. Chapter 1.1. Propositional Logic CS 103 Discrete Structures Chapter 1 Propositional Logic Chapter 1.1 Propositional Logic 1 1.1 Propositional Logic Definition: A proposition :is a declarative sentence (that is, a sentence that declares

More information

PHI Propositional Logic Lecture 2. Truth Tables

PHI Propositional Logic Lecture 2. Truth Tables PHI 103 - Propositional Logic Lecture 2 ruth ables ruth ables Part 1 - ruth unctions for Logical Operators ruth unction - the truth-value of any compound proposition determined solely by the truth-value

More information

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Propositional Logic [1] Boolean algebras by examples U X U U = {a} U = {a, b} U = {a, b, c} {a} {b} {a, b} {a, c} {b, c}... {a} {b} {c} {a, b} {a} The arrows represents proper inclusion

More information

3 The Semantics of the Propositional Calculus

3 The Semantics of the Propositional Calculus 3 The Semantics of the Propositional Calculus 1. Interpretations Formulas of the propositional calculus express statement forms. In chapter two, we gave informal descriptions of the meanings of the logical

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

Logical Agents. September 14, 2004

Logical Agents. September 14, 2004 Logical Agents September 14, 2004 The aim of AI is to develop intelligent agents that can reason about actions and their effects and about the environment, create plans to achieve a goal, execute the plans,

More information

Propositional Logic 1

Propositional Logic 1 Propositional Logic 1 Section Summary Propositions Connectives Negation Conjunction Disjunction Implication; contrapositive, inverse, converse Biconditional Truth Tables 2 Propositions A proposition is

More information

Chapter 1, Logic and Proofs (3) 1.6. Rules of Inference

Chapter 1, Logic and Proofs (3) 1.6. Rules of Inference CSI 2350, Discrete Structures Chapter 1, Logic and Proofs (3) Young-Rae Cho Associate Professor Department of Computer Science Baylor University 1.6. Rules of Inference Basic Terminology Axiom: a statement

More information

Inference Methods In Propositional Logic

Inference Methods In Propositional Logic Lecture Notes, Artificial Intelligence ((ENCS434)) University of Birzeit 1 st Semester, 2011 Artificial Intelligence (ENCS434) Inference Methods In Propositional Logic Dr. Mustafa Jarrar University of

More information

Discrete Structures of Computer Science Propositional Logic III Rules of Inference

Discrete Structures of Computer Science Propositional Logic III Rules of Inference Discrete Structures of Computer Science Propositional Logic III Rules of Inference Gazihan Alankuş (Based on original slides by Brahim Hnich) July 30, 2012 1 Previous Lecture 2 Summary of Laws of Logic

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

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

Midterm: Sample 3. ECS20 (Fall 2017) 1) Using truth tables, establish for each of the two propositions below if it is a tautology, a contradiction

Midterm: Sample 3. ECS20 (Fall 2017) 1) Using truth tables, establish for each of the two propositions below if it is a tautology, a contradiction Midterm: Sample 3 ECS20 (Fall 2017) Part I: logic 1) Using truth tables, establish for each of the two propositions below if it is a tautology, a contradiction or neither. 1) [p (q r)] [((r p) q) q] Let

More information

COMP9414: Artificial Intelligence Propositional Logic: Automated Reasoning

COMP9414: Artificial Intelligence Propositional Logic: Automated Reasoning COMP9414, Monday 26 March, 2012 Propositional Logic 2 COMP9414: Artificial Intelligence Propositional Logic: Automated Reasoning Overview Proof systems (including soundness and completeness) Normal Forms

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

CSCI.6962/4962 Software Verification Fundamental Proof Methods in Computer Science (Arkoudas and Musser) Chapter p. 1/33

CSCI.6962/4962 Software Verification Fundamental Proof Methods in Computer Science (Arkoudas and Musser) Chapter p. 1/33 CSCI.6962/4962 Software Verification Fundamental Proof Methods in Computer Science (Arkoudas and Musser) Chapter 4.1-4.8 p. 1/33 CSCI.6962/4962 Software Verification Fundamental Proof Methods in Computer

More information

Box. Turn in your e xam to Kathy Stackhouse in Chem 303 by noon on Thursday, March 30.

Box. Turn in your e xam to Kathy Stackhouse in Chem 303 by noon on Thursday, March 30. Phil 201 Exam #6 Score Name Instructions: Open book, open notes. Do all your work on these pages. When doing derivations in this exam, you may use any of the simple, complex, or derived rules of truth-functional

More information

Propositional Logic: Methods of Proof (Part II)

Propositional Logic: Methods of Proof (Part II) Propositional Logic: Methods of Proof (Part II) You will be expected to know Basic definitions Inference, derive, sound, complete Conjunctive Normal Form (CNF) Convert a Boolean formula to CNF Do a short

More information

Artificial Intelligence Knowledge Representation I

Artificial Intelligence Knowledge Representation I Artificial Intelligence Knowledge Representation I Agents that reason logically knowledge-based approach implement agents that know about their world and reason about possible courses of action needs to

More information

Chapter 1 Elementary Logic

Chapter 1 Elementary Logic 2017-2018 Chapter 1 Elementary Logic The study of logic is the study of the principles and methods used in distinguishing valid arguments from those that are not valid. The aim of this chapter is to help

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

Logic and Proofs. (A brief summary)

Logic and Proofs. (A brief summary) Logic and Proofs (A brief summary) Why Study Logic: To learn to prove claims/statements rigorously To be able to judge better the soundness and consistency of (others ) arguments To gain the foundations

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