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UNIT-I Mathematical Logic Statements and Notations
UNIT-I Mathematical Logic Statements and notations: A proposition or statement is a declarative sentence that is either true or false (but not both). For instance, the following are propositions: “Paris is in France” (true), “London is in Denmark” (false), “2 < 4” (true), “4 = 7 (false)”. However the following are not propositions: “what is your name?” (this is a question), “do your homework” (this is a command), “this sentence is false” (neither true nor false), “x is an even number” (it depends on what x represents), “Socrates” (it is not even a sentence). The truth or falsehood of a proposition is called its truth value. Connectives: Connectives are used for making compound propositions. The main ones are the following (p and q represent given propositions): Name Represented Meaning Negation ¬p “not p” Conjunction p q “p and q” Disjunction p q “p or q (or both)” Exclusive Or p q “either p or q, but not both” Implication p ⊕ q “if p then q” Biconditional p q “p if and only if q” Truth Tables: Logical identity Logical identity is an operation on one logical value, typically the value of a proposition that produces a value of true if its operand is true and a value of false if its operand is false. The truth table for the logical identity operator is as follows: Logical Identity p p T T F F Logical negation Logical negation is an operation on one logical value, typically the value of a proposition that produces a value of true if its operand is false and a value of false if its operand is true. -
Proof-Assistants Using Dependent Type Systems
CHAPTER 18 Proof-Assistants Using Dependent Type Systems Henk Barendregt Herman Geuvers Contents I Proof checking 1151 2 Type-theoretic notions for proof checking 1153 2.1 Proof checking mathematical statements 1153 2.2 Propositions as types 1156 2.3 Examples of proofs as terms 1157 2.4 Intermezzo: Logical frameworks. 1160 2.5 Functions: algorithms versus graphs 1164 2.6 Subject Reduction . 1166 2.7 Conversion and Computation 1166 2.8 Equality . 1168 2.9 Connection between logic and type theory 1175 3 Type systems for proof checking 1180 3. l Higher order predicate logic . 1181 3.2 Higher order typed A-calculus . 1185 3.3 Pure Type Systems 1196 3.4 Properties of P ure Type Systems . 1199 3.5 Extensions of Pure Type Systems 1202 3.6 Products and Sums 1202 3.7 E-typcs 1204 3.8 Inductive Types 1206 4 Proof-development in type systems 1211 4.1 Tactics 1212 4.2 Examples of Proof Development 1214 4.3 Autarkic Computations 1220 5 P roof assistants 1223 5.1 Comparing proof-assistants . 1224 5.2 Applications of proof-assistants 1228 Bibliography 1230 Index 1235 Name index 1238 HANDBOOK OF AUTOMAT8D REASONING Edited by Alan Robinson and Andrei Voronkov © 2001 Elsevier Science Publishers 8.V. All rights reserved PROOF-ASSISTANTS USING DEPENDENT TYPE SYSTEMS 1151 I. Proof checking Proof checking consists of the automated verification of mathematical theories by first fully formalizing the underlying primitive notions, the definitions, the axioms and the proofs. Then the definitions are checked for their well-formedness and the proofs for their correctness, all this within a given logic. -
Verilog Gate Types
Tutorial Questions A and Discussion This appendix contains questions, answers, and discussion to accompany Chapter 1, the tutorial introduction. The goal of this appendix is to provide far more help and guidance than we could in Chapter 1. This appendix contains tutorial help for the beginning student and questions appropriate for use with an introductory course in digital systems design or computer architecture. The sections here are referenced from the sections of Chapter 1. Some of the questions assume that the reader has access to a Verilog simulator the one included on the book's CD will suffice. A few of the questions assume access to a synthesis tool; limited access to one is available through the CD. Finally, the book's CD includes copies of the books examples; retrieve them from there to avoid retyping. A.l Structural Descriptions The questions in this section accompany Section 1.1.2. The first two include a detailed presentation of how to develop a simple Verilog description, including a dis cussion of common mistakes. The questions following assume more familiarity with a hardware description language and simulator. 284 The Verilog Hardware Description Language A.1 Write a Verilog description of the logic AB diagram shown in Figure A.l. This 00 01 II 10 logic circuit im_plements the Boolean c function F=(AB)+C which you can 0 0 0 0 I probably see by inspection of the K map. Since this is the first from-scratch I I I I I description, the discussion section has far more help. Do This - Write a module specification for this logic circuit. -
BOUNDARY LOGIC from the BEGINNING William Bricken September 2001, Updated October 2002
BOUNDARY LOGIC FROM THE BEGINNING William Bricken September 2001, updated October 2002 1 Discovering Iconic Logic 1.1 Origins 1.2 Beginning 1.3 Marks SIDEBAR: Mathematical Symbols and Icons 1.4 Delimiters SIDEBAR: Typographical Conventions of Parens Notation 1.5 Unary Logic 1.6 Enclosure as Object, Enclosure as Process 1.7 Replication as Diversity 2 Concepts of Boundary Logic 2.1 The Freedom of Void-Space SIDEBAR: Symbolic Representation 2.2 Enclosure as Perspective SIDEBAR: Containment, Connection and Contact 2.3 Pervasion and Transparency 2.4 Reducing Diversity 3 Boundary Logic SIDEBAR: Logic, Algebra and Geometry 3.1 Enclosure as Logic SIDEBAR: Table of Correspondence 3.2 Logical Operators SIDEBAR: Equations and Inference SIDEBAR: Logical Equality 3.3 Deduction SIDEBAR: Examples of Boundary Deduction 4 Boundary Computation 4.1 Logic and Circuitry SIDEBAR: A Small Digital Circuit 4.2 Enclosure as Computation 4.3 Software Design Tools SIDEBAR: Iconic Logic Hardware Design Tools 5 Conclusion SIDEBAR: New Ideas SIDEBAR: Glossary 1 Boundary Logic from the Beginning What is the simplest mathematics? In finding a simpler foundation for mathematics we also find a variety of simpler and stronger computational tools, algorithms, and architectures. Guide to Reading The contents are structured for different levels of reading detail. Sections delineate origins, concepts, and applications to logic and computation. Small subsections describe the new concepts and tools. NEW IDEAS summarize the important conceptual content in one-liners. SIDEBARS add historical context, depth commentary, and examples. SECTION 1. DISCOVERING ICONIC LOGIC Symbolic logic uses symbols to express the concepts of logic. Symbols are chosen arbitrarily, their structure bears no resemblance to their meaning. -
The Metaphysics of Time OA
Roskilde University Arthur Prior and Special Theory of Relativity: Two Standpoints from the Nachlass Kofod, Julie Lundbak Published in: The Metaphysics of Time Publication date: 2020 Document Version Publisher's PDF, also known as Version of record Citation for published version (APA): Kofod, J. L. (2020). Arthur Prior and Special Theory of Relativity: Two Standpoints from the Nachlass. In P. Hasle, D. Jakobsen, & P. Øhrstrøm (Eds.), The Metaphysics of Time: Themes from Prior (pp. 227-247). Aalborg Universitetsforlag. Logic and Philosophy of Time Vol. 4 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 24. Sep. 2021 The Metaphysics of Time Logic and Philosophy of Time, Vol. 4 Per Hasle, David Jakobsen, and Peter Øhrstrøm (Eds.) The Metaphysics of Time: Themes from Prior Edited -
LABORATORY MANUAL Digital Systems
LABORATORY MANUAL DEPARTMENT OF ELECTRICAL & COMPUTER ENGINEERING UNIVERSITY OF CENTRAL FLORIDA EEE 3342 Digital Systems Revised August 2018 CONTENTS Safety Rules and Operating Procedures Introduction Experiment #1 XILINX’s VIVADO FPGA Tools Experiment #2 Simple Combinational Logic Experiment #3 Multi-Function Gate Experiment #4 Three-Bit Binary Added Experiment #5 Multiplexers in Combinational logic design Experiment #6 Decoder and Demultiplexer Experiment #7 Random Access Memory Experiment #8 Flip-Flop Fundamentals Experiment #9 Designing with D-Flip flops: Shift Register and Sequence Counter Experiment #10 Sequential Circuit Design: Counter with Inputs Experiment #11 Sequential Design Appendix A Data Sheets for IC’s Appendix B NAND/NOR Transitions Appendix C Sample Schematic Diagram Appendix D Device / Pin # Reference Appendix E Introduction to Verilog Appendix F Reference Manuals for Boards Safety Rules and Operating Procedures 1. Note the location of the Emergency Disconnect (red button near the door) to shut off power in an emergency. Note the location of the nearest telephone (map on bulletin board). 2. Students are allowed in the laboratory only when the instructor is present. 3. Open drinks and food are not allowed near the lab benches. 4. Report any broken equipment or defective parts to the lab instructor. Do not open, remove the cover, or attempt to repair any equipment. 5. When the lab exercise is over, all instruments, except computers, must be turned off. Return substitution boxes to the designated location. Your lab grade will be affected if your laboratory station is not tidy when you leave. 6. University property must not be taken from the laboratory. -
Logical-Probabilistic Diagnosis of Human Cardiovascular Diseases Based on Boolean Algebra
THE CARDIOLOGIST Vol.3, No.1, 2019, pp.34-62 LOGICAL-PROBABILISTIC DIAGNOSIS OF HUMAN CARDIOVASCULAR DISEASES BASED ON BOOLEAN ALGEBRA Sharif E. Guseynov1,2,3*, Daniel Chetrari2, Jekaterina V. Aleksejeva1,4 Alexander V. Berezhnoy5, Abel P. Laiju2 1Institute of Fundamental Science and Innovative Technologies, Liepaja University, Liepaja, Latvia 2Faculty of Science and Engineering, Liepaja University, Liepaja, Latvia 3"Entelgine" Research & Advisory Co., Ltd., Riga, Latvia 4Riga Secondary School 34, Riga, Latvia 5Faculty of Information Technologies, Ventspils University of Applied Sciences, Ventspils, Latvia Abstract. In the present paper, the possibility of applying the logic algebra methods for diagnosing human cardiovascular diseases is studied for an incomplete set of symptoms identified at a given time moment. In the work, the concept of the probability of having a disease is introduced for each particular patient, a formula for calculating probability of disease is proposed, and finally a probabilistic table of the patient's diseases is constructed based on calculated probabilities. Keywords: cardiovascular disease, Boolean algebra, medical diagnosis, cause-effect relation. Corresponding Author: Dr. Sc. Math., Professor Sharif E. Guseynov, Liepaja University, Faculty of Science and Engineering, Institute of Fundamental Science and Innovative Technologies, 4 Kr.Valdemar Street, Liepaja LV-3401, Latvia, Tel.: (+371)22341717, e-mail: [email protected] Manuscript received: 17 November 2018 1. Introduction and specification of investigated problem Before turning to the essence of the problem investigated in this paper, let us note that the term "symptom" in medicine refers to a frequently occurring sign of a disease, being detected using clinical research methods and used to diagnose and / or predict a disease. -
DERRIDA´S MACHINE
Summer-Edition 2017 — vordenker-archive — Rudolf Kaehr (1942-2016) Title DERRIDAs Machines: Cloning Natural and other Fragments Archive-Number / Categories 2_13 / K02 Publication Date 2004 Keywords Web, Polycontextural Strategies, Logic, Dissemination of Formal Systems, Proemial Relation, Heterarchy, Chiasm, Diamond Strategies, Kenogrammatic, Algebras and Co-Algebras, Identity vs diversity, equality vs sameness vs non-equality – see also 3_12 Disciplines Artificial Intelligence and Robotics, Epistemology, Logic and Foundations, Cybernetics, Computer Sciences, Theory of Scinces Abstract This is a collection of different scientific essays such as “Cloning the Natural – and other Fragments”, “Exploiting Parallelism in Polycontextural Systems”, “Cybernetic Ontology and Web Semantics”, “Minsky´s new Machine”, “The new scene of AI-Cognitive Systems?”, “Dynamic Semantic Web” Citation Information / How to cite Rudolf Kaehr: "DERRIDAs Machines: Cloning Natural and other Fragments", www.vordenker.de (Sommer Edition, 2017) J. Paul (Ed.), URL: http://www.vordenker.de/rk/rk_DERRIDAs_Machines_2004.pdf Categories of the RK-Archive K01 Gotthard Günther Studies K08 Formal Systems in Polycontextural Constellations K02 Scientific Essays K09 Morphogrammatics K03 Polycontexturality – Second-Order-Cybernetics K10 The Chinese Challenge or A Challenge for China K04 Diamond Theory K11 Memristics Memristors Computation K05 Interactivity K12 Cellular Automata K06 Diamond Strategies K13 RK and friends K07 Contextural Programming Paradigm DERRIDA‘S MACHINES by Rudolf -
Digital Design Through Verilog Lecture Notes B.Tech (Iii Year – I Sem)
DIGITAL DESIGN THROUGH VERILOG LECTURE NOTES B.TECH (III YEAR – I SEM) (2019-2020) Prepared by: Mrs. P. ANITHA, Associate Professor Mr. K. SURESH, Assistant Professor Department of Electronics and Communication Engineering MALLA REDDY COLLEGE OF ENGINEERING & TECHNOLOGY (Autonomous Institution – UGC, Govt. of India) Recognized under 2(f) and 12 (B) of UGC ACT 1956 (Affiliated to JNTUH, Hyderabad, Approved by AICTE - Accredited by NBA & NAAC – ‘A’ Grade - ISO 9001:2015 Certified) Maisammaguda, Dhulapally (Post Via. Kompally), Secunderabad – 500100, Telangana State, India MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY III Year B.Tech. ECE-I Sem L T/P/D C 4 1/ - /- 3 (R15A0410) DIGITAL DESIGN THROUGH VERILOG OBJECTIVE: This course teaches designing digital circuits, behavior and RTL modeling of digital circuits using Verilog HDL, verifying these Models and synthesizing RTL models to standard cell libraries and FPGAs. Students aim practical experience by designing, modeling, implementing and verifying several digital circuits. This course aims to provide students with the understanding of the different technologies related to HDLs, construct, compile and execute Verilog HDL programs using provided Software Tools: Design digital components and circuits that is testable, reusable, and synthesizable. UNIT - I: Introduction to Verilog HDL: Verilog as HDL, Levels of Design Description, Concurrency, Simulation and Synthesis, Programming Language Interface, Module. Language Constructs and Conventions: Introduction, Keywords, Identifiers, White Space, Characters, Comments, Numbers, Strings, Logic Values, Data Types, Scalars and Vectors, Operators. UNIT - II: Gate Level Modeling: Introduction, AND Gate Primitive, Module Structure, Other Gate Primitives, Illustrative Examples, Tristate Gates, Array of Instances of Primitives, Design of Flip-Flops with Gate Primitives, Gate Delay, Strengths and Contention Resolution, Net Types. -
Logic in Programming
Logic in Programming Logic is extremely important in both the hardware and software of computing. Here we will begin with the software aspects of logic which are involved in programming. Later we will briefly show some hardware aspects of gates involved in computing architecture. Logic involves conditions in virtually all Choice and Loop constructs (If, and While forms). Logic also occurs in assertions, preconditions, post conditions, invariants and even comments. The boolean (or logical) type is binary; it has only two values, true and false in angular boxes: true false Logical boxes (variables) include such examples as: male, female, tall, old, done, isIsosceles which often must be clarified, perhaps by comments. For example, "old" could be defined as as any age over 21 (or 12, 30, 100, whatever). Declarations of logical types specify boxes having only the two truth values. They have a form which begins with "boolean" followed by any number of variables separated by commas and end with a semicolon. Examples are: boolean male, female; boolean old; // age over 21 boolean tall; // height over or equal to 72 inches Assignment of truth values to boolean boxes (variables) can be done simply as: male = true; old = false; 1 tall = old ; Arithmetic Relations Arithmetic relations often occur in logical conditions; the relations compare two quantities of the same type (such as ints here). (a < b) which reads "a is less than b" (c > d) which reads "c is greater than d" or "c is more than d" (e <= f) which reads "e is less than or equal to f" (g >= h) which reads "g is greater than or equal to h" (i == j) which reads "i is equal to j" (j != k) which reads "j is not equal to k" Alternate or equivalent ways are possible to express conditions: (p < q) is equivalent to (q > p) for example (age < 12) is equivalent to (12 > age) since they both are true for values 11, 10, 9, 8, . -
Logic in Context
Logic in Context Arnold Neumaier and Flaviu Adrian M˘arginean Fakult¨at f¨ur Mathematik, Universit¨at Wien Oskar–Morgenstern–Platz , A-1090 Wien, Austria email: [email protected] WWW: http://www.mat.univie.ac.at/∼neum/ Version 1.90, February 10, 2020 This is a working copy that will be revised from time to time as feedback is incorporated. Please quote the version and date when referring to the paper. Abstract. Context logic formalizes the way mathematicians apply logic in their reasoning, shifting context as they find it useful. Context logic is defined by only three axioms – simple reflection laws for falsity, conjunction and equality. From these, both classical and intuitionistic reasoning elements arise in a natural way; classical reasoning being about consistency (nonrefutability), intuitionistic reasoning about verifiability as the criterion for truth. In the class of categorical contexts, these criteria coincide, and classical reasoning is valid when verifying statements. We discuss tautologies in context logic, and give a semantic analysis of the relative expressiveness of classical logic and the or-free fragment of intuitionistic logic. Contents 1 Changing contexts 2 2 Context logic 5 3 Semantics 10 4 Tautologies in context logic 13 5 Classical and intuitionistic logic 18 6 Predicate calculus as a context logic 20 7 Natural deduction and context logic 22 1 1 Changing contexts Ye have heard that it hath been said, .... But I say unto you, .... Jesus, according to Matthew 5:38-39 This paper lies at the confluence of two major traditions in logic. The first is represented by the formalisation of context most evident in the logical approaches to Artificial Intelligence pioneered by McCarthy [25, 26, 27] and developed by numerous authors since. -
Sri Satya Sai University of Technology & Medical Sciences
Sri Satya Sai University of Technology & Medical Sciences Digital electronics Notes Introducation Digital electronics are systems that represent signals as discrete levels, rather than as a continuous range. In most cases the number of states is two, and these states are represented by two voltage levels: one near to zero volts and one at a higher level depending on the supply voltage in use. These two levels are often represented as "Low" and "High". The fundamental advantage of digital techniques stem from the fact it is easier to get an electronic device to switch into one of a number of known states than to accurately reproduce a continuous range of values. Digital electronics are usually made from large assemblies of logic gates, simple electronic representations of Boolean logic functions. This chapter is an introduction to Digital Logic circutes. Logic gate A logic gate performs a logical operation on one or more logic inputs and produces a single logic output. Because the output is also a logic-level value, an output of one logic gate can connect to the input of one or more other logic gates. The logic normally performed is Boolean logic and is most commonly found in digital circuits. Logic gates are primarily implemented electronically using diodes or transistors, but can also be constructed using electromagnetic relays, fluidics, optics, molecules, or even mechanical elements. In electronic logic, a logic level is represented by a voltage or current, (which depends on the type of electronic logic in use). Each logic gate requires power so that it can source and sink currents to achieve the correct output voltage.