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Chapter 2 Introduction to Classical Propositional
CHAPTER 2 INTRODUCTION TO CLASSICAL PROPOSITIONAL LOGIC 1 Motivation and History The origins of the classical propositional logic, classical propositional calculus, as it was, and still often is called, go back to antiquity and are due to Stoic school of philosophy (3rd century B.C.), whose most eminent representative was Chryssipus. But the real development of this calculus began only in the mid-19th century and was initiated by the research done by the English math- ematician G. Boole, who is sometimes regarded as the founder of mathematical logic. The classical propositional calculus was ¯rst formulated as a formal ax- iomatic system by the eminent German logician G. Frege in 1879. The assumption underlying the formalization of classical propositional calculus are the following. Logical sentences We deal only with sentences that can always be evaluated as true or false. Such sentences are called logical sentences or proposi- tions. Hence the name propositional logic. A statement: 2 + 2 = 4 is a proposition as we assume that it is a well known and agreed upon truth. A statement: 2 + 2 = 5 is also a proposition (false. A statement:] I am pretty is modeled, if needed as a logical sentence (proposi- tion). We assume that it is false, or true. A statement: 2 + n = 5 is not a proposition; it might be true for some n, for example n=3, false for other n, for example n= 2, and moreover, we don't know what n is. Sentences of this kind are called propositional functions. We model propositional functions within propositional logic by treating propositional functions as propositions. -
Logical Fallacies Moorpark College Writing Center
Logical Fallacies Moorpark College Writing Center Ad hominem (Argument to the person): Attacking the person making the argument rather than the argument itself. We would take her position on child abuse more seriously if she weren’t so rude to the press. Ad populum appeal (appeal to the public): Draws on whatever people value such as nationality, religion, family. A vote for Joe Smith is a vote for the flag. Alleged certainty: Presents something as certain that is open to debate. Everyone knows that… Obviously, It is obvious that… Clearly, It is common knowledge that… Certainly, Ambiguity and equivocation: Statements that can be interpreted in more than one way. Q: Is she doing a good job? A: She is performing as expected. Appeal to fear: Uses scare tactics instead of legitimate evidence. Anyone who stages a protest against the government must be a terrorist; therefore, we must outlaw protests. Appeal to ignorance: Tries to make an incorrect argument based on the claim never having been proven false. Because no one has proven that food X does not cause cancer, we can assume that it is safe. Appeal to pity: Attempts to arouse sympathy rather than persuade with substantial evidence. He embezzled a million dollars, but his wife had just died and his child needed surgery. Begging the question/Circular Logic: Proof simply offers another version of the question itself. Wrestling is dangerous because it is unsafe. Card stacking: Ignores evidence from the one side while mounting evidence in favor of the other side. Users of hearty glue say that it works great! (What is missing: How many users? Great compared to what?) I should be allowed to go to the party because I did my math homework, I have a ride there and back, and it’s at my friend Jim’s house. -
CHAPTER XXX. of Fallacies. Section 827. After Examining the Conditions on Which Correct Thoughts Depend, It Is Expedient to Clas
CHAPTER XXX. Of Fallacies. Section 827. After examining the conditions on which correct thoughts depend, it is expedient to classify some of the most familiar forms of error. It is by the treatment of the Fallacies that logic chiefly vindicates its claim to be considered a practical rather than a speculative science. To explain and give a name to fallacies is like setting up so many sign-posts on the various turns which it is possible to take off the road of truth. Section 828. By a fallacy is meant a piece of reasoning which appears to establish a conclusion without really doing so. The term applies both to the legitimate deduction of a conclusion from false premisses and to the illegitimate deduction of a conclusion from any premisses. There are errors incidental to conception and judgement, which might well be brought under the name; but the fallacies with which we shall concern ourselves are confined to errors connected with inference. Section 829. When any inference leads to a false conclusion, the error may have arisen either in the thought itself or in the signs by which the thought is conveyed. The main sources of fallacy then are confined to two-- (1) thought, (2) language. Section 830. This is the basis of Aristotle's division of fallacies, which has not yet been superseded. Fallacies, according to him, are either in the language or outside of it. Outside of language there is no source of error but thought. For things themselves do not deceive us, but error arises owing to a misinterpretation of things by the mind. -
Proving Propositional Tautologies in a Natural Dialogue
Fundamenta Informaticae xxx (2013) 1–16 1 DOI 10.3233/FI-2013-xx IOS Press Proving Propositional Tautologies in a Natural Dialogue Olena Yaskorska Institute of Philosophy and Sociology, Polish Academy of Sciences, Warsaw, Poland Katarzyna Budzynska Institute of Philosophy and Sociology, Polish Academy of Sciences, Warsaw, Poland Magdalena Kacprzak Department of Computer Science, Bialystok University of Technology, Bialystok, Poland Abstract. The paper proposes a dialogue system LND which brings together and unifies two tradi- tions in studying dialogue as a game: the dialogical logic introduced by Lorenzen; and persuasion dialogue games as specified by Prakken. The first approach allows the representation of formal di- alogues in which the validity of argument is the topic discussed. The second tradition has focused on natural dialogues examining, e.g., informal fallacies typical in real-life communication. Our goal is to unite these two approaches in order to allow communicating agents to benefit from the advan- tages of both, i.e., to equip them with the ability not only to persuade each other about facts, but also to prove that a formula used in an argument is a classical propositional tautology. To this end, we propose a new description of the dialogical logic which meets the requirements of Prakken’s generic specification for natural dialogues, and we introduce rules allowing to embed a formal dialogue in a natural one. We also show the correspondence result between the original and the new version of the dialogical logic, i.e., we show that a winning strategy for a proponent in the original version of the dialogical logic means a winning strategy for a proponent in the new version, and conversely. -
Argumentum Ad Populum Examples in Media
Argumentum Ad Populum Examples In Media andClip-on spare. Ashby Metazoic sometimes Brian narcotize filagrees: any he intercommunicatedBalthazar echo improperly. his assonances Spense coylyis all-weather and terminably. and comminating compunctiously while segregated Pen resinify The argument further it did arrive, clearly the fallacy or has it proves false information to increase tuition costs Fallacies of emotion are usually find in grant proposals or need scholarship, income as reports to funders, policy makers, employers, journalists, and raw public. Why do in media rather than his lack of. This fallacy can raise quite dangerous because it entails the reluctance of ceasing an action because of movie the previous investment put option it. See in media should vote republican. This fallacy examples or overlooked, argumentum ad populum examples in media. There was an may select agents and are at your email address any claim that makes a common psychological aspects of. Further Experiments on retail of the end with Displaced Visual Fields. Muslims in media public opinion to force appear. Instead of ad populum. While you are deceptively bad, in media sites, weak or persuade. We often finish one survey of simple core fallacies by considering just contain more. According to appeal could not only correct and frollo who criticize repression and fallacious arguments are those that they are typically also. Why is simply slope bad? 12 Common Logical Fallacies and beige to Debunk Them. Of cancer person commenting on social media rather mention what was alike in concrete post. Therefore, it contain important to analyze logical and emotional fallacies so one hand begin to examine the premises against which these rhetoricians base their assumptions, as as as the logic that brings them deflect certain conclusions. -
Argument Forms and Fallacies
6.6 Common Argument Forms and Fallacies 1. Common Valid Argument Forms: In the previous section (6.4), we learned how to determine whether or not an argument is valid using truth tables. There are certain forms of valid and invalid argument that are extremely common. If we memorize some of these common argument forms, it will save us time because we will be able to immediately recognize whether or not certain arguments are valid or invalid without having to draw out a truth table. Let’s begin: 1. Disjunctive Syllogism: The following argument is valid: “The coin is either in my right hand or my left hand. It’s not in my right hand. So, it must be in my left hand.” Let “R”=”The coin is in my right hand” and let “L”=”The coin is in my left hand”. The argument in symbolic form is this: R ˅ L ~R __________________________________________________ L Any argument with the form just stated is valid. This form of argument is called a disjunctive syllogism. Basically, the argument gives you two options and says that, since one option is FALSE, the other option must be TRUE. 2. Pure Hypothetical Syllogism: The following argument is valid: “If you hit the ball in on this turn, you’ll get a hole in one; and if you get a hole in one you’ll win the game. So, if you hit the ball in on this turn, you’ll win the game.” Let “B”=”You hit the ball in on this turn”, “H”=”You get a hole in one”, and “W”=”you win the game”. -
12 Propositional Logic
CHAPTER 12 ✦ ✦ ✦ ✦ Propositional Logic In this chapter, we introduce propositional logic, an algebra whose original purpose, dating back to Aristotle, was to model reasoning. In more recent times, this algebra, like many algebras, has proved useful as a design tool. For example, Chapter 13 shows how propositional logic can be used in computer circuit design. A third use of logic is as a data model for programming languages and systems, such as the language Prolog. Many systems for reasoning by computer, including theorem provers, program verifiers, and applications in the field of artificial intelligence, have been implemented in logic-based programming languages. These languages generally use “predicate logic,” a more powerful form of logic that extends the capabilities of propositional logic. We shall meet predicate logic in Chapter 14. ✦ ✦ ✦ ✦ 12.1 What This Chapter Is About Section 12.2 gives an intuitive explanation of what propositional logic is, and why it is useful. The next section, 12,3, introduces an algebra for logical expressions with Boolean-valued operands and with logical operators such as AND, OR, and NOT that Boolean algebra operate on Boolean (true/false) values. This algebra is often called Boolean algebra after George Boole, the logician who first framed logic as an algebra. We then learn the following ideas. ✦ Truth tables are a useful way to represent the meaning of an expression in logic (Section 12.4). ✦ We can convert a truth table to a logical expression for the same logical function (Section 12.5). ✦ The Karnaugh map is a useful tabular technique for simplifying logical expres- sions (Section 12.6). -
334 CHAPTER 7 INFORMAL FALLACIES a Deductive Fallacy Is
CHAPTER 7 INFORMAL FALLACIES A deductive fallacy is committed whenever it is suggested that the truth of the conclusion of an argument necessarily follows from the truth of the premises given, when in fact that conclusion does not necessarily follow from those premises. An inductive fallacy is committed whenever it is suggested that the truth of the conclusion of an argument is made more probable by its relationship with the premises of the argument, when in fact it is not. We will cover two kinds of fallacies: formal fallacies and informal fallacies. An argument commits a formal fallacy if it has an invalid argument form. An argument commits an informal fallacy when it has a valid argument form but derives from unacceptable premises. A. Fallacies with Invalid Argument Forms Consider the following arguments: (1) All Europeans are racist because most Europeans believe that Africans are inferior to Europeans and all people who believe that Africans are inferior to Europeans are racist. (2) Since no dogs are cats and no cats are rats, it follows that no dogs are rats. (3) If today is Thursday, then I'm a monkey's uncle. But, today is not Thursday. Therefore, I'm not a monkey's uncle. (4) Some rich people are not elitist because some elitists are not rich. 334 These arguments have the following argument forms: (1) Some X are Y All Y are Z All X are Z. (2) No X are Y No Y are Z No X are Z (3) If P then Q not-P not-Q (4) Some E are not R Some R are not E Each of these argument forms is deductively invalid, and any actual argument with such a form would be fallacious. -
Chapter 5: Informal Fallacies II
Essential Logic Ronald C. Pine Chapter 5: Informal Fallacies II Reasoning is the best guide we have to the truth....Those who offer alternatives to reason are either mere hucksters, mere claimants to the throne, or there's a case to be made for them; and of course, that is an appeal to reason. Michael Scriven, Reasoning Why don’t you ever see a headline, “Psychic wins lottery”? Internet Joke News Item, June 16, 2010: A six story statue of Jesus in Monroe city, Ohio was struck by lightning and destroyed. An adult book store across the street was untouched. Introduction In the last chapter we examined one of the major causes of poor reasoning, getting off track and not focusing on the issues related to a conclusion. In our general discussion of arguments (Chapters 1-3), however, we saw that arguments can be weak in two other ways: 1. In deductive reasoning, arguments can be valid, but have false or questionable premises, or in both deductive and inductive reasoning, arguments may involve language tricks that mislead us into presuming evidence is being offered in the premises when it is not. 2. In weak inductive arguments, arguments can have true and relevant premises but those premises can be insufficient to justify a conclusion as a reliable guide to the future. Fallacies that use deductive valid reasoning, but have premises that are questionable or are unfair in some sense in the truth claims they make, we will call fallacies of questionable premise. As a subset of fallacies of questionable premise, fallacies that use tricks in the way the premises are presented, such that there is a danger of presuming evidence has been offered when it has not, we will call fallacies of presumption. -
Propositional Calculus
CSC 438F/2404F Notes Winter, 2014 S. Cook REFERENCES The first two references have especially influenced these notes and are cited from time to time: [Buss] Samuel Buss: Chapter I: An introduction to proof theory, in Handbook of Proof Theory, Samuel Buss Ed., Elsevier, 1998, pp1-78. [B&M] John Bell and Moshe Machover: A Course in Mathematical Logic. North- Holland, 1977. Other logic texts: The first is more elementary and readable. [Enderton] Herbert Enderton: A Mathematical Introduction to Logic. Academic Press, 1972. [Mendelson] E. Mendelson: Introduction to Mathematical Logic. Wadsworth & Brooks/Cole, 1987. Computability text: [Sipser] Michael Sipser: Introduction to the Theory of Computation. PWS, 1997. [DSW] M. Davis, R. Sigal, and E. Weyuker: Computability, Complexity and Lan- guages: Fundamentals of Theoretical Computer Science. Academic Press, 1994. Propositional Calculus Throughout our treatment of formal logic it is important to distinguish between syntax and semantics. Syntax is concerned with the structure of strings of symbols (e.g. formulas and formal proofs), and rules for manipulating them, without regard to their meaning. Semantics is concerned with their meaning. 1 Syntax Formulas are certain strings of symbols as specified below. In this chapter we use formula to mean propositional formula. Later the meaning of formula will be extended to first-order formula. (Propositional) formulas are built from atoms P1;P2;P3;:::, the unary connective :, the binary connectives ^; _; and parentheses (,). (The symbols :; ^ and _ are read \not", \and" and \or", respectively.) We use P; Q; R; ::: to stand for atoms. Formulas are defined recursively as follows: Definition of Propositional Formula 1) Any atom P is a formula. -
35. Logic: Common Fallacies Steve Miller Kennesaw State University, [email protected]
Kennesaw State University DigitalCommons@Kennesaw State University Sexy Technical Communications Open Educational Resources 3-1-2016 35. Logic: Common Fallacies Steve Miller Kennesaw State University, [email protected] Cherie Miller Kennesaw State University, [email protected] Follow this and additional works at: http://digitalcommons.kennesaw.edu/oertechcomm Part of the Technical and Professional Writing Commons Recommended Citation Miller, Steve and Miller, Cherie, "35. Logic: Common Fallacies" (2016). Sexy Technical Communications. 35. http://digitalcommons.kennesaw.edu/oertechcomm/35 This Article is brought to you for free and open access by the Open Educational Resources at DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Sexy Technical Communications by an authorized administrator of DigitalCommons@Kennesaw State University. For more information, please contact [email protected]. Logic: Common Fallacies Steve and Cherie Miller Sexy Technical Communication Home Logic and Logical Fallacies Taken with kind permission from the book Why Brilliant People Believe Nonsense by J. Steve Miller and Cherie K. Miller Brilliant People Believe Nonsense [because]... They Fall for Common Fallacies The dull mind, once arriving at an inference that flatters the desire, is rarely able to retain the impression that the notion from which the inference started was purely problematic. ― George Eliot, in Silas Marner In the last chapter we discussed passages where bright individuals with PhDs violated common fallacies. Even the brightest among us fall for them. As a result, we should be ever vigilant to keep our critical guard up, looking for fallacious reasoning in lectures, reading, viewing, and especially in our own writing. None of us are immune to falling for fallacies. -
Why Would You Trust B? Eric Jaeger, Catherine Dubois
Why Would You Trust B? Eric Jaeger, Catherine Dubois To cite this version: Eric Jaeger, Catherine Dubois. Why Would You Trust B?. Logic for Programming, Artificial In- telligence, and Reasoning, Nov 2007, Yerevan, Armenia. pp.288-302, 10.1007/978-3-540-75560-9. hal-00363345 HAL Id: hal-00363345 https://hal.archives-ouvertes.fr/hal-00363345 Submitted on 23 Feb 2009 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Why Would You Trust B? Eric´ Jaeger12 and Catherine Dubois3 1 LIP6, Universit´eParis 6, 4 place Jussieu, 75252 Paris Cedex 05, France 2 LTI, Direction centrale de la s´ecurit´edes syst`emes d’information, 51 boulevard de La Tour-Maubourg, 75700 Paris 07 SP, France 3 CEDRIC, Ecole´ nationale sup´erieure d’informatique pour l’industrie et l’entreprise, 18 all´ee Jean Rostand, 91025 Evry Cedex, France Abstract. The use of formal methods provides confidence in the cor- rectness of developments. Yet one may argue about the actual level of confidence obtained when the method itself – or its implementation – is not formally checked. We address this question for the B, a widely used formal method that allows for the derivation of correct programs from specifications.