Logic Made Easy: How to Know When Language Deceives
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Thinkjs 2.0 Documentation
ThinkJS 2.0 Documentation ᳪفள᭛ Օᕨ ጱ Node.js MVC ຝֵ҅አ ES7 Ӿ async/await ҅ᘏ ES6ݎෛقThinkJS ฎӞֵྃአ ES6/7 ᇙ තԧࢵٖक़ռग़ຝጱᦡᦇቘஷޕӾጱ */yield ᇙବᥴ٬ԧ Node.js Ӿྍ્ॺጱᳯ̶᷌ݶ ṛප̶̵ܔᓌےNode.js ᶱፓๅ ݎమ҅ᦏ පሲ҅ฎ۠ಅࣁ̶ଚӬෛᇇጱ Node.js ES6 ᇙԞํԧݎᶱፓݢզय़य़ṛݎአ ES6/7 ᇙֵ Զᇙᬮဌํඪ೮҅Ԟݢզۗ Babel ᖫᦲඪ೮̶ํֵܨঅጱඪ೮҅ ᇙ ᶱፓݎአ ES6/7 ᇙֵ ᇇӧඪ೮̶੦ٌฎֵڹۗ Babel ᖫᦲ҅ݢզࣁᶱፓӾय़ᙦֵአ ES6/7 ಅํጱᇙ҅෫ᵱஞߺԶᇙ୮ አ async/await ᘏ */yield ᥴ٬ྍࢧ᧣ጱᳯ̶᷌ JavaScript //user controller, home/controller/user.js export default class extends think.controller.base { //login action async loginAction(self){ //ইຎฎget᧗҅ፗളดᐏጭ୯ᶭᶎ if(this.isGet()){ return this.display(); } ᬯ᯾ݢզ᭗ᬦpostොဩ឴ݐಅํጱහഝ҅හഝ૪ᕪࣁlogic᯾؉ԧ໊ḵ// let data = this.post(); let md5 = think.md5('think_' + data.pwd); ᯈහഝପӾԭጱፓ܃ݸጱੂᎱ݄ੂےአಁݷ// let result = await this.model('user').where({name: data.name, pwd: md5}).find(); ձ֜හഝ҅ᤒᐏአಁݷᘏੂᎱᲙکᯈ܃ইຎ๚// if(think.isEmpty(result)){ return this.fail('login fail'); } sessionفٟ௳מݸ҅ਖ਼አಁ௳מአಁک឴ݐ// await this.session('userInfo', result); return this.success(); } } ӤᶎጱդᎱ౯ժֵአԧ ES6 ᯾ጱ class , export , let զ݊ ES7 ᯾ጱ async await ᒵᇙ҅ Session ᮷ฎྍ֢҅֕ۗ async/await ҅դᎱ᮷ฎݶྍԡٟጱ̶๋ݸֵ فᡱᆐັᧃහഝପٟ አ Babel ᬰᤈᖫᦲ҅੪ݢզᑞਧᬩᤈࣁ Node.js ጱሾहӾԧ̶ ඪ೮ग़ᐿᶱፓᕮग़ᐿᶱፓሾह ̶ݎཛྷࣘཛྷୗᒵग़ᐿᶱፓᕮ҅ݢզჿ᪃ݱᐿᶱፓ॔ଶጱړཛྷࣘཛྷୗ̵ฦ᭗ཛྷୗ̵ܔᶱፓඪ೮ ἕᦊඪ೮ development ҅ testing prodution 3 ᐿᶱፓሾह҅ݢզࣁӧݶጱᶱፓሾहӥᬰᤈӧݶ ጱᯈᗝ҅ჿ᪃ࣁӧݶሾहӥጱᯈᗝᵱ҅ݶᬮݢզचԭᶱፓᵱᥝᬰᤈಘ̶ ඪ೮ӿጱහഝପ ThinkJS ඪ೮ mysql ҅ mongodb ҅ sqlite ᒵଉᥠጱහഝପ҅ଚӬᤰԧஉग़֢හഝପጱളݗ҅෫ᵱ ᚆ̶ۑᘶཛྷࣳᒵṛᕆى̵ۓᄋ၏̶ݶඪ೮Ԫقᒵਞفಋۖ೪ള SQL ݙ҅ᬮݢզᛔۖᴠྊ SQL ဳ դᎱᛔۖๅෛ Ԟӧአۗᒫӣ҅ۓNode.js ๐ ސኞප҅ӧአ᯿ܨදݸᒈץկ҅ګThinkJS ٖᗝԧӞॺդᎱᛔۖๅෛጱ ොཛྷ̶ࣘ ୌ REST ളݗڠᛔۖ ইຎమࣁ̶ݎݢਠ౮ REST API ጱܨୌ REST -
6.5 Rules for Evaluating Syllogisms
6.5 Rules for Evaluating Syllogisms Comment: Venn Diagrams provide a clear semantics for categorical statements that yields a method for determining validity. Prior to their discovery, categorical syllogisms were evaluated by a set of rules, some of which are more or less semantic in character, others of which are entirely syntactic. We will study those rules in this section. Rule 1: A valid standard form categorical syllogism must contain exactly three terms, and each term must be used with the same meaning throughout the argument. Comment: A fallacy of equivocation occurs if a term is used with more than one meaning in a categorical syllogism, e.g., Some good speakers are woofers. All politicians are good speakers. So, some politicians are woofers. In the first premise, “speakers” refers to an electronic device. In the second, it refers to a subclass of human beings. Definition (sorta): A term is distributed in a statement if the statement “says something” about every member of the class that the term denotes. A term is undistributed in a statement if it is not distributed in it. Comment: To say that a statement “says something” about every member of a class is to say that, if you know the statement is true, you can legitimately infer something nontrivial about any arbitrary member of the class. 1 The subject term (but not the predicate term) is distributed in an A statement. Example 1 All dogs are mammals says of each dog that it is a mammal. It does not say anything about all mammals. Comment: Thus, if I know that “All dogs are mammals” is true, then if I am told that Fido is a dog, I can legitimately infer that Fido is a mammal. -
Western Logic Formal & Informal Fallacy Types of 6 Fallacies
9/17/2021 Western Logic Formal & Informal Fallacy Types of 6 Fallacies- Examrace Examrace Western Logic Formal & Informal Fallacy Types of 6 Fallacies Get unlimited access to the best preparation resource for competitive exams : get questions, notes, tests, video lectures and more- for all subjects of your exam. Western Logic - Formal & Informal Fallacy: Types of 6 Fallacies (Philosophy) Fallacy When an argument fails to support its conclusion, that argument is termed as fallacious in nature. A fallacious argument is hence an erroneous argument. In other words, any error or mistake in an argument leads to a fallacy. So, the definition of fallacy is any argument which although seems correct but has an error committed in its reasoning. Hence, a fallacy is an error; a fallacious argument is an argument which has erroneous reasoning. In the words of Frege, the analytical philosopher, “it is a logician՚s task to identify the pitfalls in language.” Hence, logicians are concerned with the task of identifying fallacious arguments in logic which are also called as incorrect or invalid arguments. There are numerous fallacies but they are classified under two main heads; Formal Fallacies Informal Fallacies Formal Fallacies Formal fallacies are those mistakes or errors which occur in the form of the argument. In other words, formal fallacies concern themselves with the form or the structure of the argument. Formal fallacies are present when there is a structural error in a deductive argument. It is important to note that formal fallacies always occur in a deductive argument. There are of six types; Fallacy of four terms: A valid syllogism must contain three terms, each of which should be used in the same sense throughout; else it is a fallacy of four terms. -
MGF 1106 Learning Objectives
Learning Objectives L01 Set Concepts and Subsets (2.1, 2.2) 1. Indicate sets by the description method, roster method, and by using set builder notation. 2. Determine if a set is well defined. 3. Determine if a set is finite or infinite. 4. Determine if sets are equal, equivalent, or neither. 5. Find the cardinal number of a set. 6. Determine if a set is equal to the empty set. 7. Use the proper notation for the empty set. 8. Give an example of a universal set and list all of its subsets and all of its proper subsets. 9. Properly use notation for element, subset, and proper subset. 10. Determine if a number represents a cardinal number or an ordinal number. 11. Be able to determine the number of subsets and proper subsets that can be formed from a universal set without listing them. L02 Venn Diagrams and Set Operations (2.3, 2.4) 1. Determine if sets are disjoint. 2. Find the complement of a set 3. Find the intersection of two sets. 4. Find the union of two sets. 5. Find the difference of two sets. 6. Apply several set operations involved in a statement. 7. Determine sets from a Venn diagram. 8. Use the formula that yields the cardinal number of a union. 9. Construct a Venn diagram given two sets. 10. Construct a Venn diagram given three sets. L03 Equality of Sets; Applications of Sets (2.4, 2.5) 1. Determine if set statements are equal by using Venn diagrams or DeMorgan's laws. -
Intuitionistic Euler-Venn Diagrams⋆
Intuitionistic Euler-Venn Diagrams? Sven Linker[0000−0003−2913−7943] University of Liverpool, UK [email protected] Abstract. We present an intuitionistic interpretation of Euler-Venn di- agrams with respect to Heyting algebras. In contrast to classical Euler- Venn diagrams, we treat shaded and missing zones differently, to have diagrammatic representations of conjunction, disjunction and intuition- istic implication. Furthermore, we need to add new syntactic elements to express these concepts. We present a cut-free sequent calculus for this language, and prove it to be sound and complete. Furthermore, we show that the rules of cut, weakening and contraction are admissible. Keywords: intuitionistic logic · Euler-Venn diagrams · proof theory 1 Introduction Most visualisations for logical systems, like Peirce's Existential Graphs [6] and the Venn systems of Shin [16], are dedicated to some form of classical reasoning. However, for example, within Computer Science, constructive reasoning in the form of intuitionistic logic is very important as well, due to the Curry-Howard correspondence of constructive proofs and programs, or, similarly, of formulas and types. That is, each formula corresponds to a unique type, and a proof of the formula corresponds to the execution of a function of this type. Hence, a visu- alisation of intutionistic logic would be beneficial not only from the perspective of formal logic, but also for visualising program types and their relations. Typical semantics of intuitionistic logic are given in the form of Heyting algebras, a slight generalisation of Boolean algebras, and an important subclass of Heyting algebras is induced by topologies: the set of open sets of a topology forms a Heyting algebra. -
Compiler Error Messages Considered Unhelpful: the Landscape of Text-Based Programming Error Message Research
Working Group Report ITiCSE-WGR ’19, July 15–17, 2019, Aberdeen, Scotland Uk Compiler Error Messages Considered Unhelpful: The Landscape of Text-Based Programming Error Message Research Brett A. Becker∗ Paul Denny∗ Raymond Pettit∗ University College Dublin University of Auckland University of Virginia Dublin, Ireland Auckland, New Zealand Charlottesville, Virginia, USA [email protected] [email protected] [email protected] Durell Bouchard Dennis J. Bouvier Brian Harrington Roanoke College Southern Illinois University Edwardsville University of Toronto Scarborough Roanoke, Virgina, USA Edwardsville, Illinois, USA Scarborough, Ontario, Canada [email protected] [email protected] [email protected] Amir Kamil Amey Karkare Chris McDonald University of Michigan Indian Institute of Technology Kanpur University of Western Australia Ann Arbor, Michigan, USA Kanpur, India Perth, Australia [email protected] [email protected] [email protected] Peter-Michael Osera Janice L. Pearce James Prather Grinnell College Berea College Abilene Christian University Grinnell, Iowa, USA Berea, Kentucky, USA Abilene, Texas, USA [email protected] [email protected] [email protected] ABSTRACT of evidence supporting each one (historical, anecdotal, and empiri- Diagnostic messages generated by compilers and interpreters such cal). This work can serve as a starting point for those who wish to as syntax error messages have been researched for over half of a conduct research on compiler error messages, runtime errors, and century. Unfortunately, these messages which include error, warn- warnings. We also make the bibtex file of our 300+ reference corpus ing, and run-time messages, present substantial difficulty and could publicly available. -
Mapping Topic Maps to Common Logic
MAPPING TOPIC MAPS TO COMMON LOGIC Tamas´ DEMIAN´ Advisor: Andras´ PATARICZA I. Introduction This work is a case study for the mapping of a particular formal language (Topic Map[1] (TM)) to Common Logic[2] (CL). CL was intended to be a uniform platform ensuring a seamless syntactic and semantic integration of knowledge represented in different formal languages. CL is based on first-order logic (FOL) with a precise model-theoretic semantic. The exact target language is Common Logic Interchange Format (CLIF), the most common dialect of CL. Both CL and TM are ISO standards and their metamodels are included in the Object Definition Metamodel[3] (ODM). ODM was intended to serve as foundation of Model Driven Architecture (MDA) offering formal basis for representation, management, interoperability, and semantics. The paper aims at the evaluation of the use of CL as a fusion platform on the example of TM. II. The Topic Maps TM is a technology for modelling knowledge and connecting this structured knowledge to relevant information sources. A central operation in TMs is merging, aiming at the elimination of redundant TM constructs. TopicMapConstruct is the top-level abstract class in the TM metamodel (Fig. 1). The later detailed ReifiableConstruct, TypeAble and ScopeAble classes are also abstract. The remaining classes are pairwise disjoint. Figure 1: The class hierarchy and the relation and attribute names of the TM metamodel. TopicMap is a set of topics and associations. Topic is a symbol used within a TM to represent exactly one subject, in order to allow statements to be made about that subject. -
Philosophy of Physical Activity Education (Including Educational Sport)
eBook Philosophy of Physical Activity Education (Including Educational Sport) by EARLEPh.D., F. LL.D., ZEIGLER D.Sc. PHILOSOPHY OF PHYSICAL ACTIVITY EDUCATION (INCLUDING EDUCATIONAL SPORT) Earle F. Zeigler Ph.D., LL.D., D.Sc., FAAKPE Faculty of Kinesiology The University of Western Ontario London, Canada (This version is as an e-book) 1 PLEASE LEAVE THIS PAGE EMPTY FOR PUBLICATION DATA 2 DEDICATION This book is dedicated to the following men and women with whom I worked very closely in this aspect of our work at one time or another from 1956 on while employed at The University of Michigan, Ann Arbor; the University of Illinois, U-C; and The University of Western Ontario, London, Canada: Susan Cooke, (Western Ontario, CA); John A. Daly (Illinois, U-C); Francis W. Keenan, (Illinois, U-C); Robert G. Osterhoudt (Illinois, U-C); George Patrick (Illinois, U-C); Kathleen Pearson (Illinois, U-C); Sean Seaman (Western Ontario, CA; Danny Rosenberg (Western Ontario, CA); Debra Shogan (Western Ontario, CA); Peter Spencer-Kraus (Illinois, UC) ACKNOWLEDGEMENTS In the mid-1960s, Dr. Paul Weiss, Heffer Professor of Philosophy, Catholic University of America, Washington, DC, offered wise words of counsel to me on numerous occasions, as did Prof. Dr. Hans Lenk, a "world scholar" from the University of Karlsruhe, Germany, who has been a friend and colleague for whom I have the greatest of admiration. Dr. Warren Fraleigh, SUNY at Brockport, and Dr. Scott Kretchmar. of The Pennsylvania State University have been colleagues, scholars, and friends who haven't forgotten their roots in the physical education profession. -
Towards the Second Edition of ISO 24707 Common Logic
Towards the Second Edition of ISO 24707 Common Logic Michael Gr¨uninger(with Tara Athan and Fabian Neuhaus) Miniseries on Ontologies, Rules, and Logic Programming for Reasoning and Applications January 9, 2014 Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 1 / 20 What Is Common Logic? Common Logic (published as \ISO/IEC 24707:2007 | Information technology Common Logic : a framework for a family of logic-based languages") is a language based on first-order logic, but extending it in several ways that ease the formulation of complex ontologies that are definable in first-order logic. Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 2 / 20 Semantics An interpretation I consists of a set URI , the universe of reference a set UDI , the universe of discourse, such that I UDI 6= ;; I UDI ⊆ URI ; a mapping intI : V ! URI ; ∗ a mapping relI from URI to subsets of UDI . Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 3 / 20 How Is Common Logic Being Used? Open Ontology Repositories COLORE (Common Logic Ontology Repository) colore.oor.net stl.mie.utoronto.ca/colore/ontologies.html OntoHub www.ontohub.org https://github.com/ontohub/ontohub Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 4 / 20 How Is Common Logic Being Used? Ontology-based Standards Process Specification Language (ISO 18629) Date-Time Vocabulary (OMG) Foundational UML (OMG) Semantic Web Services Framework (W3C) OntoIOp (ISO WD 17347) Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 -
Confirmation Bias in Criminal Cases
Moa Lidén Confirmation Bias in Criminal Cases Dissertation presented at Uppsala University to be publicly examined in Sal IV, Universitetshuset, Biskopsgatan 3, 753 10 Uppsala, Uppsala, Friday, 28 September 2018 at 10:15 for the degree of Doctor of Laws. The examination will be conducted in English. Faculty examiner: Professor Steven Penrod (John Jay College of Criminal Justice, City University New York). Abstract Lidén, M. 2018. Confirmation Bias in Criminal Cases. 284 pp. Uppsala: Department of Law, Uppsala University. ISBN 978-91-506-2720-6. Confirmation bias is a tendency to selectively search for and emphasize information that is consistent with a preferred hypothesis, whereas opposing information is ignored or downgraded. This thesis examines the role of confirmation bias in criminal cases, primarily focusing on the Swedish legal setting. It also examines possible debiasing techniques. Experimental studies with Swedish police officers, prosecutors and judges (Study I-III) and an archive study of appeals and petitions for new trials (Study IV) were conducted. The results suggest that confirmation bias is at play to varying degrees at different stages of the criminal procedure. Also, the explanations and possible ways to prevent the bias seem to vary for these different stages. In Study I police officers’ more guilt presumptive questions to apprehended than non-apprehended suspects indicate a confirmation bias. This seems primarily driven by cognitive factors and reducing cognitive load is therefore a possible debiasing technique. In Study II prosecutors did not display confirmation bias before but only after the decision to press charges, as they then were less likely to consider additional investigation necessary and suggested more guilt confirming investigation. -
Introducing 3D Venn and Euler Diagrams
Introducing 3D Venn and Euler Diagrams Peter Rodgers1, Jean Flower2, and Gem Stapleton3 1 University of Kent, UK [email protected] 2 Autodesk, UK 3 Visual Modelling Group, University of Brighton, UK [email protected] Abstract. In 2D, Venn and Euler diagrams consist of labelled simple closed curves and have been widely studied. The advent of 3D display and interaction mechanisms means that extending these diagrams to 3D is now feasible. However, 3D versions of these diagrams have not yet been examined. Here, we begin the investigation into 3D Euler diagrams by defining them to comprise of labelled, orientable closed surfaces. As in 2D, these 3D Euler diagrams visually represent the set-theoretic notions of intersection, containment and disjointness. We extend the concept of wellformedness to the 3D case and compare it to wellformedness in the 2D case. In particular, we demonstrate that some data can be visualized with wellformed 3D diagrams that cannot be visualized with wellformed 2D diagrams. We also note that whilst there is only one topologically distinct embedding of wellformed Venn-3 in 2D, there are four such em- beddings in 3D when the surfaces are topologically equivalent to spheres. Furthermore, we hypothesize that all data sets can be visualized with 3D Euler diagrams whereas this is not the case for 2D Euler diagrams, unless non-simple curves and/or duplicated labels are permitted. As this paper is the first to consider 3D Venn and Euler diagrams, we include a set of open problems and conjectures to stimulate further research. -
Logic and Artificial Intelligence
Logic and Artificial Intelligence: Divorced,StillMarried,Separated...?∗ Selmer Bringsjord//David A. Ferrucci February 13, 1998 Abstract Though it’s difficult to agree on the exact date of their union, logic and artificial intelligence (AI) were married by the late 1950s, and, at least during their honeymoon, were happily united. What connubial permu- tation do logic and AI find themselves in now? Are they still (happily) married? Are they divorced? Or are they only separated, both still keep- ing alive the promise of a future in which the old magic is rekindled? This paper is an attempt to answer these questions via a review of six books. Encapsulated, our answer is that (i) logic and AI, despite tabloidish re- ports to the contrary, still enjoy matrimonial bliss, and (ii) only their future robotic offspring (as opposed to the children of connectionist AI) will mark real progress in the attempt to understand cognition. 1 The Logic–AI Marriage Though it’s difficult to agree on the exact date of their union, logic and artificial intelligence (AI) were married by the late 1950s, and, at least during their honeymoon, were happily married. But what connubial permutation do logic and AI find themselves in now? Are they still (happily) married? Are they divorced? Or are they only separated, both still keeping alive the promise of a future in which the old magic is rekindled? This paper is an attempt to answer these questions via a review of the following six books: • Ronald J. Brachman, Hector J. Levesque, and Raymond Reiter, eds., Knowledge Representation, Special Issues of Artificial Intelligence: An International Journal, Cambridge, MA: MIT Press, 1992, 408 pp., $29.00 (paper), ISBN 0-262-52168-7.