CSL105: Discrete Mathematical Structures. Ragesh Jaiswal, CSE, IIT Delhi
|
|
|
- Elizabeth Greene
- 10 years ago
- Views:
Transcription
1
2 Propositional Logic: logical operators Negation ( ) Conjunction ( ) Disjunction ( ). Exclusive or ( ) Conditional statement ( ) Bi-conditional statement ( ): Let p and q be propositions. The biconditional statement p q is the proposition p if and only if q. The biconditional statement p q is true when p and q have the same truth values, and is false otherwise. Biconditional statements are also called bi-implications. p q p q T T T T F F F T F F F T Table: Truth table for p q.
3 Propositional Logic: logical operators Negation ( ) Conjunction ( ) Disjunction ( ). Exclusive or ( ) Conditional statement ( ) Bi-conditional statement ( ): Let p and q be propositions. The biconditional statement p q is the proposition p if and only if q. The biconditional statement p q is true when p and q have the same truth values, and is false otherwise. Biconditional statements are also called bi-implications. p q is also expressed as: p is necessary and sufficient for q p iff q if p, then q and conversely Show that p q always has the same truth value as (p q) (q p).
4 Propositional Logic Logical operators Negation ( ) Conjunction ( ) Disjunction ( ). Exclusive or ( ) Conditional statement ( ) Bi-conditional statement ( ) A compound proposition is formed by applying these operators on simpler propositions. E.g. (p q r). Operator Precedence (in decreasing order):,,,,,. Construct the truth table for p q p q.
5 Propositional logic: Applications Simplify complex sentences and enable to logically analyze them. You cannot ride the roller coaster if you are under 4 feet tall unless you are older than 16 years old. p: You can ride the roller coaster. q: You are under 4 feet tall. r: You are older than 16 years old. Express the sentence in terms of propositions p, q, and r.
6 Propositional logic: Applications Simplify complex sentences and enable to logically analyze them. You cannot ride the roller coaster if you are under 4 feet tall unless you are older than 16 years old. p: You can ride the roller coaster. q: You are under 4 feet tall. r: You are older than 16 years old. Express the sentence in terms of propositions p, q, and r. (q r) p.
7 Propositional logic: Applications Simplify complex sentences and enable to logically analyze them. Translate system specification expressed in natural language into unambiguous logical expressions. Example: The diagnostic message is stored in the buffer or is retransmitted. The diagnostic message is not stored in the buffer. If the diagnostic message is stored in the buffer, then it is retransmitted. The diagnostic message is not transmitted. Consistency: Whether all the specifications can be satisfied simultaneously. Are these specifications consistent?
8 Propositional logic: Applications Simplify complex sentences and enable to logically analyze them. Translate system specification expressed in natural language into unambiguous logical expressions. Resolve complex puzzling scenarios. Example: An island has two kinds of inhabitants, knights and knaves. Knights always tell the truth and Knaves always lie. You meet two people on this island A and B. What are A and B if A says B is a knight and B says The two of us are opposite types?
9 Propositional logic Definition (Tautology and Contradiction) A compound proposition that is always true, no matter what the truth values of the proposition that occurs in it, is called a tautology. A compound proposition that is always false is called a contradiction. A compound proposition that is neither a tautology nor a contradiction is called a contingency. Examples: (p p) is a tautology. (p p) is a contradiction. Definition (Logical equivalence) A compound proposition p and q are called logically equivalent if p q is a tautology. The notation p q denotes that p and q are logically equivalent.
10 Propositional logic Definition (Tautology and Contradiction) A compound proposition that is always true, no matter what the truth values of the proposition that occurs in it, is called a tautology. A compound proposition that is always false is called a contradiction. A compound proposition that is neither a tautology nor a contradiction is called a contingency. Definition (Logical equivalence) Compound propositions p and q are called logically equivalent if p q is a tautology. The notation p q denotes that p and q are logically equivalent. Show that p and q are logically equivalent if and only if the columns giving their truth values match. Show that (p q) p q.
11 End
Propositional Logic. A proposition is a declarative sentence (a sentence that declares a fact) that is either true or false, but not both.
irst Order Logic Propositional Logic A proposition is a declarative sentence (a sentence that declares a fact) that is either true or false, but not both. Are the following sentences propositions? oronto
Handout #1: Mathematical Reasoning
Math 101 Rumbos Spring 2010 1 Handout #1: Mathematical Reasoning 1 Propositional Logic A proposition is a mathematical statement that it is either true or false; that is, a statement whose certainty or
Likewise, we have contradictions: formulas that can only be false, e.g. (p p).
CHAPTER 4. STATEMENT LOGIC 59 The rightmost column of this truth table contains instances of T and instances of F. Notice that there are no degrees of contingency. If both values are possible, the formula
CHAPTER 2. Logic. 1. Logic Definitions. Notation: Variables are used to represent propositions. The most common variables used are p, q, and r.
CHAPTER 2 Logic 1. Logic Definitions 1.1. Propositions. Definition 1.1.1. A proposition is a declarative sentence that is either true (denoted either T or 1) or false (denoted either F or 0). Notation:
Logic in general. Inference rules and theorem proving
Logical Agents Knowledge-based agents Logic in general Propositional logic Inference rules and theorem proving First order logic Knowledge-based agents Inference engine Knowledge base Domain-independent
Compound Inequalities. AND/OR Problems
Compound Inequalities AND/OR Problems There are two types of compound inequalities. They are conjunction problems and disjunction problems. These compound inequalities will sometimes appear as two simple
Beyond Propositional Logic Lukasiewicz s System
Beyond Propositional Logic Lukasiewicz s System Consider the following set of truth tables: 1 0 0 1 # # 1 0 # 1 1 0 # 0 0 0 0 # # 0 # 1 0 # 1 1 1 1 0 1 0 # # 1 # # 1 0 # 1 1 0 # 0 1 1 1 # 1 # 1 Brandon
Schedule. Logic (master program) Literature & Online Material. gic. Time and Place. Literature. Exercises & Exam. Online Material
OLC mputational gic Schedule Time and Place Thursday, 8:15 9:45, HS E Logic (master program) Georg Moser Institute of Computer Science @ UIBK week 1 October 2 week 8 November 20 week 2 October 9 week 9
DISCRETE MATH: LECTURE 3
DISCRETE MATH: LECTURE 3 DR. DANIEL FREEMAN 1. Chapter 2.2 Conditional Statements If p and q are statement variables, the conditional of q by p is If p then q or p implies q and is denoted p q. It is false
Math 166 - Week in Review #4. A proposition, or statement, is a declarative sentence that can be classified as either true or false, but not both.
Math 166 Spring 2007 c Heather Ramsey Page 1 Math 166 - Week in Review #4 Sections A.1 and A.2 - Propositions, Connectives, and Truth Tables A proposition, or statement, is a declarative sentence that
CHAPTER 7 GENERAL PROOF SYSTEMS
CHAPTER 7 GENERAL PROOF SYSTEMS 1 Introduction Proof systems are built to prove statements. They can be thought as an inference machine with special statements, called provable statements, or sometimes
INTRODUCTORY SET THEORY
M.Sc. program in mathematics INTRODUCTORY SET THEORY Katalin Károlyi Department of Applied Analysis, Eötvös Loránd University H-1088 Budapest, Múzeum krt. 6-8. CONTENTS 1. SETS Set, equal sets, subset,
Mathematics for Computer Scientists
G51MCS www.cs.nott.ac.uk/~vxc/g51mcs/g51mcs.html [email protected] Computer Science Building, A07 What this module is about What are the topics of this module? What this module is about
p: I am elected q: I will lower the taxes
Implication Conditional Statement p q (p implies q) (if p then q) is the proposition that is false when p is true and q is false and true otherwise. Equivalent to not p or q Ex. If I am elected then I
High School Geometry Test Sampler Math Common Core Sampler Test
High School Geometry Test Sampler Math Common Core Sampler Test Our High School Geometry sampler covers the twenty most common questions that we see targeted for this level. For complete tests and break
Math 3000 Section 003 Intro to Abstract Math Homework 2
Math 3000 Section 003 Intro to Abstract Math Homework 2 Department of Mathematical and Statistical Sciences University of Colorado Denver, Spring 2012 Solutions (February 13, 2012) Please note that these
Mathematical Induction
Mathematical Induction In logic, we often want to prove that every member of an infinite set has some feature. E.g., we would like to show: N 1 : is a number 1 : has the feature Φ ( x)(n 1 x! 1 x) How
Boolean Algebra Part 1
Boolean Algebra Part 1 Page 1 Boolean Algebra Objectives Understand Basic Boolean Algebra Relate Boolean Algebra to Logic Networks Prove Laws using Truth Tables Understand and Use First Basic Theorems
Logic in Computer Science: Logic Gates
Logic in Computer Science: Logic Gates Lila Kari The University of Western Ontario Logic in Computer Science: Logic Gates CS2209, Applied Logic for Computer Science 1 / 49 Logic and bit operations Computers
Artificial Intelligence
Artificial Intelligence ICS461 Fall 2010 1 Lecture #12B More Representations Outline Logics Rules Frames Nancy E. Reed [email protected] 2 Representation Agents deal with knowledge (data) Facts (believe
Formal Engineering for Industrial Software Development
Shaoying Liu Formal Engineering for Industrial Software Development Using the SOFL Method With 90 Figures and 30 Tables Springer Contents Introduction 1 1.1 Software Life Cycle... 2 1.2 The Problem 4 1.3
WOLLONGONG COLLEGE AUSTRALIA. Diploma in Information Technology
First Name: Family Name: Student Number: Class/Tutorial: WOLLONGONG COLLEGE AUSTRALIA A College of the University of Wollongong Diploma in Information Technology Final Examination Spring Session 2008 WUCT121
Lecture Notes in Discrete Mathematics. Marcel B. Finan Arkansas Tech University c All Rights Reserved
Lecture Notes in Discrete Mathematics Marcel B. Finan Arkansas Tech University c All Rights Reserved 2 Preface This book is designed for a one semester course in discrete mathematics for sophomore or junior
Quine on truth by convention
Quine on truth by convention March 8, 2005 1 Linguistic explanations of necessity and the a priori.............. 1 2 Relative and absolute truth by definition.................... 2 3 Is logic true by convention?...........................
CS510 Software Engineering
CS510 Software Engineering Propositional Logic Asst. Prof. Mathias Payer Department of Computer Science Purdue University TA: Scott A. Carr Slides inspired by Xiangyu Zhang http://nebelwelt.net/teaching/15-cs510-se
Predicate Logic. For example, consider the following argument:
Predicate Logic The analysis of compound statements covers key aspects of human reasoning but does not capture many important, and common, instances of reasoning that are also logically valid. For example,
Mathematics for Computer Science/Software Engineering. Notes for the course MSM1F3 Dr. R. A. Wilson
Mathematics for Computer Science/Software Engineering Notes for the course MSM1F3 Dr. R. A. Wilson October 1996 Chapter 1 Logic Lecture no. 1. We introduce the concept of a proposition, which is a statement
Applied Liberal Arts Mathematics MAT-105-TE
Applied Liberal Arts Mathematics MAT-105-TE This TECEP tests a broad-based overview of mathematics intended for non-math majors and emphasizes problem-solving modeled on real-life applications. Topics
A simple solution to the hardest logic puzzle ever
a simple solution to the hardest logic puzzle ever 105 11 Potts, C. 2005. The Logic of Conventional Implicatures. Oxford: Oxford University Press. Searle, J. R. and D. Vanderveken. 1985. Foundations of
Logic Appendix. Section 1 Truth Tables CONJUNCTION EXAMPLE 1
Logic Appendix T F F T Section 1 Truth Tables Recall that a statement is a group of words or symbols that can be classified collectively as true or false. The claim 5 7 12 is a true statement, whereas
Logical Agents. Explorations in Artificial Intelligence. Knowledge-based Agents. Knowledge-base Agents. Outline. Knowledge bases
Logical Agents Explorations in Artificial Intelligence rof. Carla. Gomes [email protected] Agents that are able to: Form representations of the world Use a process to derive new representations of the
Chapter 3. Cartesian Products and Relations. 3.1 Cartesian Products
Chapter 3 Cartesian Products and Relations The material in this chapter is the first real encounter with abstraction. Relations are very general thing they are a special type of subset. After introducing
Invalidity in Predicate Logic
Invalidity in Predicate Logic So far we ve got a method for establishing that a predicate logic argument is valid: do a derivation. But we ve got no method for establishing invalidity. In propositional
WOLLONGONG COLLEGE AUSTRALIA. Diploma in Information Technology
First Name: Family Name: Student Number: Class/Tutorial: WOLLONGONG COLLEGE AUSTRALIA A College of the University of Wollongong Diploma in Information Technology Mid-Session Test Summer Session 008-00
A Few Basics of Probability
A Few Basics of Probability Philosophy 57 Spring, 2004 1 Introduction This handout distinguishes between inductive and deductive logic, and then introduces probability, a concept essential to the study
196 Chapter 7. Logical Agents
7 LOGICAL AGENTS In which we design agents that can form representations of the world, use a process of inference to derive new representations about the world, and use these new representations to deduce
Predicate Logic. Example: All men are mortal. Socrates is a man. Socrates is mortal.
Predicate Logic Example: All men are mortal. Socrates is a man. Socrates is mortal. Note: We need logic laws that work for statements involving quantities like some and all. In English, the predicate is
The Role of Dispute Settlement Procedures in International Trade Agreements: Online Appendix
The Role of Dispute Settlement Procedures in International Trade Agreements: Online Appendix Giovanni Maggi Yale University, NBER and CEPR Robert W. Staiger Stanford University and NBER November 2010 1.
Degrees of Truth: the formal logic of classical and quantum probabilities as well as fuzzy sets.
Degrees of Truth: the formal logic of classical and quantum probabilities as well as fuzzy sets. Logic is the study of reasoning. A language of propositions is fundamental to this study as well as true
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 Now that we have a basic understanding
Sentence Semantics. General Linguistics Jennifer Spenader, February 2006 (Most slides: Petra Hendriks)
Sentence Semantics General Linguistics Jennifer Spenader, February 2006 (Most slides: Petra Hendriks) Data to be analyzed (1) Maria slaapt. (2) Jan slaapt. (3) Maria slaapt en Jan slaapt. (4) Iedereen
def: An axiom is a statement that is assumed to be true, or in the case of a mathematical system, is used to specify the system.
Section 1.5 Methods of Proof 1.5.1 1.5 METHODS OF PROOF Some forms of argument ( valid ) never lead from correct statements to an incorrect. Some other forms of argument ( fallacies ) can lead from true
Predicate Logic Review
Predicate Logic Review UC Berkeley, Philosophy 142, Spring 2016 John MacFarlane 1 Grammar A term is an individual constant or a variable. An individual constant is a lowercase letter from the beginning
1 of 6 9/30/15, 4:49 PM
Student: Date: Instructor: Doug Ensley Course: MAT117 01 Applied Statistics - Ensley Assignment: Online 09 - Section 6.2 1. In January 2011, the average monthly rental rate for one-bedroom apartments in
CHAPTER 3. Methods of Proofs. 1. Logical Arguments and Formal Proofs
CHAPTER 3 Methods of Proofs 1. Logical Arguments and Formal Proofs 1.1. Basic Terminology. An axiom is a statement that is given to be true. A rule of inference is a logical rule that is used to deduce
Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2
CS 70 Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2 Proofs Intuitively, the concept of proof should already be familiar We all like to assert things, and few of us
Certamen 1 de Representación del Conocimiento
Certamen 1 de Representación del Conocimiento Segundo Semestre 2012 Question: 1 2 3 4 5 6 7 8 9 Total Points: 2 2 1 1 / 2 1 / 2 3 1 1 / 2 1 1 / 2 12 Here we show one way to solve each question, but there
CHANCE ENCOUNTERS. Making Sense of Hypothesis Tests. Howard Fincher. Learning Development Tutor. Upgrade Study Advice Service
CHANCE ENCOUNTERS Making Sense of Hypothesis Tests Howard Fincher Learning Development Tutor Upgrade Study Advice Service Oxford Brookes University Howard Fincher 2008 PREFACE This guide has a restricted
We would like to state the following system of natural deduction rules preserving falsity:
A Natural Deduction System Preserving Falsity 1 Wagner de Campos Sanz Dept. of Philosophy/UFG/Brazil [email protected] Abstract This paper presents a natural deduction system preserving falsity. This new
The Mathematics of GIS. Wolfgang Kainz
The Mathematics of GIS Wolfgang Kainz Wolfgang Kainz Department of Geography and Regional Research University of Vienna Universitätsstraße 7, A-00 Vienna, Austria E-Mail: [email protected] Version.
DEDUCTIVE & INDUCTIVE REASONING
DEDUCTIVE & INDUCTIVE REASONING Expectations 1. Take notes on inductive and deductive reasoning. 2. This is an information based presentation -- I simply want you to be able to apply this information to
Negative Integral Exponents. If x is nonzero, the reciprocal of x is written as 1 x. For example, the reciprocal of 23 is written as 2
4 (4-) Chapter 4 Polynomials and Eponents P( r) 0 ( r) dollars. Which law of eponents can be used to simplify the last epression? Simplify it. P( r) 7. CD rollover. Ronnie invested P dollars in a -year
Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics
Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights
Clue Deduction: an introduction to satisfiability reasoning
Clue Deduction: an introduction to satisfiability reasoning Todd W. Neller, Zdravko Markov, Ingrid Russell July 25, 2005 1 Introduction Clue R 1 is a mystery-themed game of deduction. The goal of the game
WHAT ARE MATHEMATICAL PROOFS AND WHY THEY ARE IMPORTANT?
WHAT ARE MATHEMATICAL PROOFS AND WHY THEY ARE IMPORTANT? introduction Many students seem to have trouble with the notion of a mathematical proof. People that come to a course like Math 216, who certainly
Arithmetic Progression
Worksheet 3.6 Arithmetic and Geometric Progressions Section 1 Arithmetic Progression An arithmetic progression is a list of numbers where the difference between successive numbers is constant. The terms
(LMCS, p. 317) V.1. First Order Logic. This is the most powerful, most expressive logic that we will examine.
(LMCS, p. 317) V.1 First Order Logic This is the most powerful, most expressive logic that we will examine. Our version of first-order logic will use the following symbols: variables connectives (,,,,
Is Justified True Belief Knowledge?
Is Justified True Belief Knowledge? EDMUND GETTIER Edmund Gettier is Professor Emeritus at the University of Massachusetts, Amherst. This short piece, published in 1963, seemed to many decisively to refute
MAT-71506 Program Verication: Exercises
MAT-71506 Program Verication: Exercises Antero Kangas Tampere University of Technology Department of Mathematics September 11, 2014 Accomplishment Exercises are obligatory and probably the grades will
Geometry 1. Unit 3: Perpendicular and Parallel Lines
Geometry 1 Unit 3: Perpendicular and Parallel Lines Geometry 1 Unit 3 3.1 Lines and Angles Lines and Angles Parallel Lines Parallel lines are lines that are coplanar and do not intersect. Some examples
Conjunction is true when both parts of the statement are true. (p is true, q is true. p^q is true)
Mathematical Sentence - a sentence that states a fact or complete idea Open sentence contains a variable Closed sentence can be judged either true or false Truth value true/false Negation not (~) * Statement
Formal Software Development
Formal Software Development From VDM to Java Quentin Charatan and Aaron Kans Formal Software Development FORMAL SOFTWARE DEVELOPMENT From VDM to Java Quentin Charatan and Aaron Kans Quentin Charatan and
Basic Logic Gates Richard E. Haskell
BASIC LOGIC GATES 1 E Basic Logic Gates Richard E. Haskell All digital systems are made from a few basic digital circuits that we call logic gates. These circuits perform the basic logic functions that
Mathematics Review for MS Finance Students
Mathematics Review for MS Finance Students Anthony M. Marino Department of Finance and Business Economics Marshall School of Business Lecture 1: Introductory Material Sets The Real Number System Functions,
2. The Language of First-order Logic
2. The Language of First-order Logic KR & R Brachman & Levesque 2005 17 Declarative language Before building system before there can be learning, reasoning, planning, explanation... need to be able to
EQUATIONS and INEQUALITIES
EQUATIONS and INEQUALITIES Linear Equations and Slope 1. Slope a. Calculate the slope of a line given two points b. Calculate the slope of a line parallel to a given line. c. Calculate the slope of a line
Trust but Verify: Authorization for Web Services. The University of Vermont
Trust but Verify: Authorization for Web Services Christian Skalka X. Sean Wang The University of Vermont Trust but Verify (TbV) Reliable, practical authorization for web service invocation. Securing complex
6.080/6.089 GITCS Feb 12, 2008. Lecture 3
6.8/6.89 GITCS Feb 2, 28 Lecturer: Scott Aaronson Lecture 3 Scribe: Adam Rogal Administrivia. Scribe notes The purpose of scribe notes is to transcribe our lectures. Although I have formal notes of my
Translation Guide. Not both P and Q ~(P Q) Not either P or Q (neither/nor)
Translation Guide If P, then Q (P Q) P, if Q (Q P) What follows if is the antecedent of a conditional. P, provided that Q (Q P) Provided that means if. Assuming that, given that, etc., work the same way.
Predicate logic. Logic in computer science. Logic in Computer Science (lecture) PART II. first order logic
PART II. Predicate logic first order logic Logic in computer science Seminar: INGK401-K5; INHK401; INJK401-K4 University of Debrecen, Faculty of Informatics [email protected] 1 / 19 Alphabets Logical
Gates, Circuits, and Boolean Algebra
Gates, Circuits, and Boolean Algebra Computers and Electricity A gate is a device that performs a basic operation on electrical signals Gates are combined into circuits to perform more complicated tasks
Resolution. Informatics 1 School of Informatics, University of Edinburgh
Resolution In this lecture you will see how to convert the natural proof system of previous lectures into one with fewer operators and only one proof rule. You will see how this proof system can be used
Last time we had arrived at the following provisional interpretation of Aquinas second way:
Aquinas Third Way Last time we had arrived at the following provisional interpretation of Aquinas second way: 1. 2. 3. 4. At least one thing has an efficient cause. Every causal chain must either be circular,
An Innocent Investigation
An Innocent Investigation D. Joyce, Clark University January 2006 The beginning. Have you ever wondered why every number is either even or odd? I don t mean to ask if you ever wondered whether every number
So, using the new notation, P X,Y (0,1) =.08 This is the value which the joint probability function for X and Y takes when X=0 and Y=1.
Joint probabilit is the probabilit that the RVs & Y take values &. like the PDF of the two events, and. We will denote a joint probabilit function as P,Y (,) = P(= Y=) Marginal probabilit of is the probabilit
Lesson 1. Key Financial Concepts INTRODUCTION
Key Financial Concepts INTRODUCTION Welcome to Financial Management! One of the most important components of every business operation is financial decision making. Business decisions at all levels have
PHILOSOPHY 101: CRITICAL THINKING
PHILOSOPHY 101: CRITICAL THINKING [days and times] [classroom] [semester] 20YY, [campus] [instructor s name] [office hours: days and times] [instructor s e-mail] COURSE OBJECTIVES AND OUTCOMES 1. Identify
Set Theory and Logic Supplementary Materials Math 103: Contemporary Mathematics with Applications. A. Calini, E. Jurisich, S.
Set Theory and Logic Supplementary Materials Math 103: Contemporary Mathematics with Applications A. Calini, E. Jurisich, S. Shields c2008 2 Chapter 1 Set Theory 1.1 Basic definitions and notation A set
Alexy's Thesis of the Necessary Connection between Law and Morality*
Ratio Juris. Vol. 13 No. 2 June 2000 (133±137) Alexy's Thesis of the Necessary Connection between Law and Morality* EUGENIO BULYGIN Abstract. This paper criticizes Alexy's argument on the necessary connection
Lesson 3: Using Inequalities to Problem Solve
Lesson 3: Using Inequalities to Problem Solve Selected Content Standards Benchmarks Addressed: N-1-M Demonstrating that a rational number can be expressed in many forms, and selecting an appropriate form
Degrees all the way down: Beliefs, non-beliefs and disbeliefs
This is the version of 3 July 2006, slightly revised on 14 November 2008. Another version appears in Degrees of Belief, eds. Franz Huber and Christoph Schmidt-Petri, Dordrecht: Springer 2009. Degrees all
COMPUTER SCIENCE. Paper 1 (THEORY)
COMPUTER SCIENCE Paper 1 (THEORY) (Three hours) Maximum Marks: 70 (Candidates are allowed additional 15 minutes for only reading the paper. They must NOT start writing during this time) -----------------------------------------------------------------------------------------------------------------------
Workforce scheduling with logical constraints: theory and applications in call centers
Workforce scheduling with logical constraints: theory and applications in call centers Gábor Danó This thesis was supervised by Sandjai Bhulai and Ger Koole Department of Mathematics Vrije Universiteit
Rules of Inference Friday, January 18, 2013 Chittu Tripathy Lecture 05
Rules of Inference Today s Menu Rules of Inference Quantifiers: Universal and Existential Nesting of Quantifiers Applications Old Example Re-Revisited Our Old Example: Suppose we have: All human beings
Extending the Internet of Things to IPv6 with Software Defined Networking
Extending the Internet of Things to IPv6 with Software Defined Networking Abstract [WHITE PAPER] Pedro Martinez-Julia, Antonio F. Skarmeta {pedromj,skarmeta}@um.es The flexibility and general programmability
Multiplication and Division with Rational Numbers
Multiplication and Division with Rational Numbers Kitty Hawk, North Carolina, is famous for being the place where the first airplane flight took place. The brothers who flew these first flights grew up
CSEE 3827: Fundamentals of Computer Systems. Standard Forms and Simplification with Karnaugh Maps
CSEE 3827: Fundamentals of Computer Systems Standard Forms and Simplification with Karnaugh Maps Agenda (M&K 2.3-2.5) Standard Forms Product-of-Sums (PoS) Sum-of-Products (SoP) converting between Min-terms
Hypothetical Syllogisms 1
Phil 2302 Intro to Logic Dr. Naugle Hypothetical Syllogisms 1 Compound syllogisms are composed of different kinds of sentences in their premises and conclusions (not just categorical propositions, statements
Chapter II. Controlling Cars on a Bridge
Chapter II. Controlling Cars on a Bridge 1 Introduction The intent of this chapter is to introduce a complete example of a small system development. During this development, you will be made aware of the
Introduction to Logic: Argumentation and Interpretation. Vysoká škola mezinárodních a veřejných vztahů PhDr. Peter Jan Kosmály, Ph.D. 9. 3.
Introduction to Logic: Argumentation and Interpretation Vysoká škola mezinárodních a veřejných vztahů PhDr. Peter Jan Kosmály, Ph.D. 9. 3. 2016 tests. Introduction to Logic: Argumentation and Interpretation
A Propositional Dynamic Logic for CCS Programs
A Propositional Dynamic Logic for CCS Programs Mario R. F. Benevides and L. Menasché Schechter {mario,luis}@cos.ufrj.br Abstract This work presents a Propositional Dynamic Logic in which the programs are
Lecture 9 Maher on Inductive Probability
Lecture 9 Maher on Inductive Probability Patrick Maher Scientific Thought II Spring 2010 Two concepts of probability Example You know that a coin is either two-headed or two-tailed but you have no information
Solutions to Math 51 First Exam January 29, 2015
Solutions to Math 5 First Exam January 29, 25. ( points) (a) Complete the following sentence: A set of vectors {v,..., v k } is defined to be linearly dependent if (2 points) there exist c,... c k R, not
A simple algorithm with no simple verication
A simple algorithm with no simple verication Laszlo Csirmaz Central European University Abstract The correctness of a simple sorting algorithm is resented, which algorithm is \evidently wrong" at the rst
Chapter 4: The Logic of Boolean Connectives
Chapter 4: The Logic of Boolean Connectives 4.1 Tautologies and logical truth Logical truth We already have the notion of logical consequence. A sentence is a logical consequence of a set of sentences
