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Typology of Programming Languages E Early Languages E
Typology of programming languages e Early Languages E Typology of programming languages Early Languages 1 / 71 The Tower of Babel Typology of programming languages Early Languages 2 / 71 Table of Contents 1 Fortran 2 ALGOL 3 COBOL 4 The second wave 5 The finale Typology of programming languages Early Languages 3 / 71 IBM Mathematical Formula Translator system Fortran I, 1954-1956, IBM 704, a team led by John Backus. Typology of programming languages Early Languages 4 / 71 IBM 704 (1956) Typology of programming languages Early Languages 5 / 71 IBM Mathematical Formula Translator system The main goal is user satisfaction (economical interest) rather than academic. Compiled language. a single data structure : arrays comments arithmetics expressions DO loops subprograms and functions I/O machine independence Typology of programming languages Early Languages 6 / 71 FORTRAN’s success Because: programmers productivity easy to learn by IBM the audience was mainly scientific simplifications (e.g., I/O) Typology of programming languages Early Languages 7 / 71 FORTRAN I C FIND THE MEAN OF N NUMBERS AND THE NUMBER OF C VALUES GREATER THAN IT DIMENSION A(99) REAL MEAN READ(1,5)N 5 FORMAT(I2) READ(1,10)(A(I),I=1,N) 10 FORMAT(6F10.5) SUM=0.0 DO 15 I=1,N 15 SUM=SUM+A(I) MEAN=SUM/FLOAT(N) NUMBER=0 DO 20 I=1,N IF (A(I) .LE. MEAN) GOTO 20 NUMBER=NUMBER+1 20 CONTINUE WRITE (2,25) MEAN,NUMBER 25 FORMAT(11H MEAN = ,F10.5,5X,21H NUMBER SUP = ,I5) STOP TypologyEND of programming languages Early Languages 8 / 71 Fortran on Cards Typology of programming languages Early Languages 9 / 71 Fortrans Typology of programming languages Early Languages 10 / 71 Table of Contents 1 Fortran 2 ALGOL 3 COBOL 4 The second wave 5 The finale Typology of programming languages Early Languages 11 / 71 ALGOL, Demon Star, Beta Persei, 26 Persei Typology of programming languages Early Languages 12 / 71 ALGOL 58 Originally, IAL, International Algebraic Language. -
Create a Program Which Will Accept the Price of a Number of Items. • You Must State the Number of Items in the Basket
PROBLEM: Create a program which will accept the price of a number of items. • You must state the number of items in the basket. • The program will then accept the unit price and the quantity for each item. • It must then calculate the item prices and the total price. • The program must also calculate and add a 5% tax. • If the total price exceeds $450, a discount of $15 is given to the customer; else he/she pays the full amount. • Display the total price, tax, discounted total if applicable, as well as the total number of items bought. • A thank you message must appear at the bottom. SOLUTION First establish your inputs and your outputs, and then develop your IPO chart. Remember: this phase is called - Analysis Of The Problem. So what are your inputs & output? : Variable names: Number of items (input & output) Num (Assume there are 4 items) Unit price of each item (input) Price1, Price2, Price3, Price4 Quantity of each item (Input) Quan1, Quan2, Quan3, Quan4 Total price (output) TotPrice Tax amount (output) Tax Discounted total price (output) DiscTotPrice In your IPO chart, you will describe the logical steps to move from your inputs to your outputs. INPUT PROCESSING OUTPUT Price1, Price2, 1. Get the number of items TotPrice, Tax, Price3, Price4, 2. Get the price and quantity of the each item DiscTaxedTotal, Num 3. Calculate a sub-total for each item TaxedTotal Quan1, Quan2, 4. Calculate the overall total Num Quan3, Quan4 5. Calculate the tax payable {5% of total} 6. If TaxedTotal > 450 then Apply discount {Total minus 15} Display: TotPrice, Tax, DiscTaxedTotal, TaxedTotal, Num Else TaxedTotal is paid Display: TotPrice, Tax, TaxedTotal, Num Note that there are some variables that are neither input nor output. -
A Politico-Social History of Algolt (With a Chronology in the Form of a Log Book)
A Politico-Social History of Algolt (With a Chronology in the Form of a Log Book) R. w. BEMER Introduction This is an admittedly fragmentary chronicle of events in the develop ment of the algorithmic language ALGOL. Nevertheless, it seems perti nent, while we await the advent of a technical and conceptual history, to outline the matrix of forces which shaped that history in a political and social sense. Perhaps the author's role is only that of recorder of visible events, rather than the complex interplay of ideas which have made ALGOL the force it is in the computational world. It is true, as Professor Ershov stated in his review of a draft of the present work, that "the reading of this history, rich in curious details, nevertheless does not enable the beginner to understand why ALGOL, with a history that would seem more disappointing than triumphant, changed the face of current programming". I can only state that the time scale and my own lesser competence do not allow the tracing of conceptual development in requisite detail. Books are sure to follow in this area, particularly one by Knuth. A further defect in the present work is the relatively lesser availability of European input to the log, although I could claim better access than many in the U.S.A. This is regrettable in view of the relatively stronger support given to ALGOL in Europe. Perhaps this calmer acceptance had the effect of reducing the number of significant entries for a log such as this. Following a brief view of the pattern of events come the entries of the chronology, or log, numbered for reference in the text. -
Standards for Computer Aided Manufacturing
//? VCr ~ / Ct & AFML-TR-77-145 )R^ yc ' )f f.3 Standards for Computer Aided Manufacturing Office of Developmental Automation and Control Technology Institute for Computer Sciences and Technology National Bureau of Standards Washington, D.C. 20234 January 1977 Final Technical Report, March— December 1977 Distribution limited to U.S. Government agencies only; Test and Evaluation Data; Statement applied November 1976. Other requests for this document must be referred to AFML/LTC, Wright-Patterson AFB, Ohio 45433 Manufacturing Technology Division Air Force Materials Laboratory Wright-Patterson Air Force Base, Ohio 45433 . NOTICES When Government drawings, specifications, or other data are used for any purpose other than in connection with a definitely related Government procurement opera- tion, the United States Government thereby incurs no responsibility nor any obligation whatsoever; and the fact that the Government may have formulated, furnished, or in any way supplied the said drawing, specification, or other data, is not to be regarded by implication or otherwise as in any manner licensing the holder or any person or corporation, or conveying any rights or permission to manufacture, use, or sell any patented invention that may in any way be related thereto Copies of this report should not be returned unless return is required by security considerations, contractual obligations, or notice on a specified document This final report was submitted by the National Bureau of Standards under military interdepartmental procurement request FY1457-76 -00369 , "Manufacturing Methods Project on Standards for Computer Aided Manufacturing." This technical report has been reviewed and is approved for publication. FOR THE COMMANDER: DtiWJNlb L. -
ALGORITHMS for ARTIFICIAL INTELLIGENCE in Apl2 By
MAY 1986 REVISED Nov 1986 TR 03·281 ALGORITHMS FOR ARTIFICIAL INTELLIGENCE IN APl2 By DR JAMES A· BROWN ED EUSEBI JANICE COOK lEO H GRONER INTERNATIONAL BUSINESS MACHINES CORPORATION GENERAL PRODUCTS DIVISION SANTA TERESA LABORATORY SAN JOSE~ CALIFORNIA ABSTRACT Many great advances in science and mathematics were preceded by notational improvements. While a g1yen algorithm can be implemented in any general purpose programming language, discovery of algorithms is heavily influenced by the notation used to Lnve s t Lq a t.e them. APL2 c o nce p t.ua Lly applies f unc t Lons in parallel to arrays of data and so is a natural notation in which to investigate' parallel algorithins. No c LaLm is made that APL2 1s an advance in notation that will precede a breakthrough in Artificial Intelligence but it 1s a new notation that allows a new view of the pr-obl.ems in AI and their solutions. APL2 can be used ill problems tractitionally programmed in LISP, and is a possible implementation language for PROLOG-like languages. This paper introduces a subset of the APL2 notation and explores how it can be applied to Artificial Intelligence. 111 CONTENTS Introduction. • • • • • • • • • • 1 Part 1: Artificial Intelligence. • • • 2 Part 2: Logic... · • 8 Part 3: APL2 ..... · 22 Part 4: The Implementations . · .40 Part 5: Going Beyond the Fundamentals .. • 61 Summary. .74 Conclus i ons , . · .75 Acknowledgements. • • 76 References. · 77 Appendix 1 : Implementations of the Algorithms.. 79 Appendix 2 : Glossary. • • • • • • • • • • • • • • • • 89 Appendix 3 : A Summary of Predicate Calculus. · 95 Appendix 4 : Tautologies. · 97 Appendix 5 : The DPY Function. -
Event Management for the Development of Multi-Agent Systems Using Logic Programming
Event Management for the Development of Multi-agent Systems using Logic Programming Natalia L. Weinbachy Alejandro J. Garc´ıa [email protected] [email protected] Laboratorio de Investigacio´n y Desarrollo en Inteligencia Artificial (LIDIA) Departamento de Ciencias e Ingenier´ıa de la Computacio´n Universidad Nacional del Sur Av. Alem 1253, (8000) Bah´ıa Blanca, Argentina Tel: (0291) 459-5135 / Fax: (0291) 459-5136 Abstract In this paper we present an extension of logic programming including events. We will first describe our proposal for specifying events in a logic program, and then we will present an implementation that uses an interesting communication mechanism called \signals & slots". The idea is to provide the application programmer with a mechanism for handling events. In our design we consider how to define an event, how to indicate the occurrence of an event, and how to associate an event with a service predicate or handler. Keywords: Event Management. Event-Driven Programming. Multi-agent Systems. Logic Programming. 1 Introduction An event represents the occurrence of something interesting for a process. Events are useful in those applications where pieces of code can be executed automatically when some condition is true. Therefore, event management is helpful to develop agents that react to certain occurrences produced by changes in the environment or caused by another agents. Our aim is to support event management in logic programming. An event can be emitted as a result of the execution of certain predicates, and will result in the execution of the service predicate or handler. For example, when programming a robot behaviour, an event could be associated with the discovery of an obstacle in its trajectory; when this event occurs (generated by some robot sensor), the robot might be able to react to it executing some kind of evasive algorithm. -
A View of the Fifth Generation and Its Impact
AI Magazine Volume 3 Number 4 (1982) (© AAAI) Techniques and Methodology A View of the Fifth Generation And Its Impact David H. D. Warren SRI International Art$icial Intellagence Center Computer Scaence and Technology Davzsaon Menlo Park, Calafornia 94025 Abstract is partly secondhand. I apologise for any mistakes or misin- terpretations I may therefore have made. In October 1981, .Japan announced a national project to develop highly innovative computer systems for the 199Os, with the title “Fifth Genera- tion Computer Systems ” This paper is a personal view of that project, The fifth generation plan its significance, and reactions to it. In late 1978 the Japanese Ministry of International Trade THIS PAPER PRESENTS a personal view of the <Japanese and Industry (MITI) gave ETL the task of defining a project Fifth Generation Computer Systems project. My main to develop computer syst,ems for the 199Os, wit,h t,he title sources of information were the following: “Filth Generation.” The prqject should avoid competing with IBM head-on. In addition to the commercial aspects, The final proceedings of the Int,ernational Conference it should also enhance Japan’s international prestige. After on Fifth Generat,ion Computer Systems, held in Tokyo in October 1981, and the associated Fifth Generation various committees had deliberated, it was finally decided research reports distributed by the Japan Information to actually go ahead with a “Fifth Generation Computer Processing Development Center (JIPDEC); Systems” project in 1981. The project formally started in April, 1982. Presentations by Koichi Furukawa of Electrotechnical The general technical content of the plan seems to be Laboratory (ETL) at the Prolog Programming Environ- largely due to people at ETL and, in particular, to Kazuhiro ments Workshop, held in Linkoping, Sweden, in March 1982; Fuchi. -
Constructing Algorithms and Pseudocoding This Document Was Originally Developed by Professor John P
Constructing Algorithms and Pseudocoding This document was originally developed by Professor John P. Russo Purpose: # Describe the method for constructing algorithms. # Describe an informal language for writing PSEUDOCODE. # Provide you with sample algorithms. Constructing Algorithms 1) Understand the problem A common mistake is to start writing an algorithm before the problem to be solved is fully understood. Among other things, understanding the problem involves knowing the answers to the following questions. a) What is the input list, i.e. what information will be required by the algorithm? b) What is the desired output or result? c) What are the initial conditions? 2) Devise a Plan The first step in devising a plan is to solve the problem yourself. Arm yourself with paper and pencil and try to determine precisely what steps are used when you solve the problem "by hand". Force yourself to perform the task slowly and methodically -- think about <<what>> you are doing. Do not use your own memory -- introduce variables when you need to remember information used by the algorithm. Using the information gleaned from solving the problem by hand, devise an explicit step-by-step method of solving the problem. These steps can be written down in an informal outline form -- it is not necessary at this point to use pseudo-code. 3) Refine the Plan and Translate into Pseudo-Code The plan devised in step 2) needs to be translated into pseudo-code. This refinement may be trivial or it may take several "passes". 4) Test the Design Using appropriate test data, test the algorithm by going through it step by step. -
BASIC Session
BASIC Session Chairman: Thomas Cheatham Speaker: Thomas E. Kurtz PAPER: BASIC Thomas E. Kurtz Darthmouth College 1. Background 1.1. Dartmouth College Dartmouth College is a small university dating from 1769, and dedicated "for the educa- tion and instruction of Youth of the Indian Tribes in this Land in reading, writing and all parts of learning . and also of English Youth and any others" (Wheelock, 1769). The undergraduate student body (now nearly 4000) outnumbers all graduate students by more than 5 to 1, and majors predominantly in the Social Sciences and the Humanities (over 75%). In 1940 a milestone event, not well remembered until recently (Loveday, 1977), took place at Dartmouth. Dr. George Stibitz of the Bell Telephone Laboratories demonstrated publicly for the first time, at the annual meeting of the American Mathematical Society, the remote use of a computer over a communications line. The computer was a relay cal- culator designed to carry out arithmetic on complex numbers. The terminal was a Model 26 Teletype. Another milestone event occurred in the summer of 1956 when John McCarthy orga- nized at Dartmouth a summer research project on "artificial intelligence" (the first known use of this phrase). The computer scientists attending decided a new language was needed; thus was born LISP. [See the paper by McCarthy, pp. 173-185 in this volume. Ed.] 1.2. Dartmouth Comes to Computing After several brief encounters, Dartmouth's liaison with computing became permanent and continuing in 1956 through the New England Regional Computer Center at MIT, HISTORY OF PROGRAMMING LANGUAGES 515 Copyright © 1981 by the Association for Computing Machinery, Inc. -
Latest Results from the Procedure Calling Test, Ackermann's Function
Latest results from the procedure calling test, Ackermann’s function B A WICHMANN National Physical Laboratory, Teddington, Middlesex Division of Information Technology and Computing March 1982 Abstract Ackermann’s function has been used to measure the procedure calling over- head in languages which support recursion. Two papers have been written on this which are reproduced1 in this report. Results from further measurements are in- cluded in this report together with comments on the data obtained and codings of the test in Ada and Basic. 1 INTRODUCTION In spite of the two publications on the use of Ackermann’s Function [1, 2] as a mea- sure of the procedure-calling efficiency of programming languages, there is still some interest in the topic. It is an easy test to perform and the large number of results ob- tained means that an implementation can be compared with many other systems. The purpose of this report is to provide a listing of all the results obtained to date and to show their relationship. Few modern languages do not provide recursion and hence the test is appropriate for measuring the overheads of procedure calls in most cases. Ackermann’s function is a small recursive function listed on page 2 of [1] in Al- gol 60. Although of no particular interest in itself, the function does perform other operations common to much systems programming (testing for zero, incrementing and decrementing integers). The function has two parameters M and N, the test being for (3, N) with N in the range 1 to 6. Like all tests, the interpretation of the results is not without difficulty. -
Evolution of the Major Programming Languages
COS 301 Programming Languages Evolution of the Major Programming Languages UMaine School of Computing and Information Science COS 301 - 2018 Topics Zuse’s Plankalkül Minimal Hardware Programming: Pseudocodes The IBM 704 and Fortran Functional Programming: LISP ALGOL 60 COBOL BASIC PL/I APL and SNOBOL SIMULA 67 Orthogonal Design: ALGOL 68 UMaine School of Computing and Information Science COS 301 - 2018 Topics (continued) Some Early Descendants of the ALGOLs Prolog Ada Object-Oriented Programming: Smalltalk Combining Imperative and Object-Oriented Features: C++ Imperative-Based Object-Oriented Language: Java Scripting Languages A C-Based Language for the New Millennium: C# Markup/Programming Hybrid Languages UMaine School of Computing and Information Science COS 301 - 2018 Genealogy of Common Languages UMaine School of Computing and Information Science COS 301 - 2018 Alternate View UMaine School of Computing and Information Science COS 301 - 2018 Zuse’s Plankalkül • Designed in 1945 • For computers based on electromechanical relays • Not published until 1972, implemented in 2000 [Rojas et al.] • Advanced data structures: – Two’s complement integers, floating point with hidden bit, arrays, records – Basic data type: arrays, tuples of arrays • Included algorithms for playing chess • Odd: 2D language • Functions, but no recursion • Loops (“while”) and guarded conditionals [Dijkstra, 1975] UMaine School of Computing and Information Science COS 301 - 2018 Plankalkül Syntax • 3 lines for a statement: – Operation – Subscripts – Types • An assignment -
ALGOL 60 Programming on the Decsystem 10.Pdf
La Trobe University DEPARTMENT OF MATHEMATICS ALGOL 60 Programming on the DECSystem 10 David Woodhouse Revised, August 1975 MELBOURNE, AUSTRALIA ALGOL 60 Programming on the DECSystem 10 David Woodhouse Revised, August 1975 CE) David Woodhouse National Library of Australia card number and ISBN. ISBN 0 85816 066 8 INTRODUCTION This text is intended as a complete primer on ALGOL 60 programming. It refers specifically to Version 4 of the DECSystem 10 implementation. However, it avoids idiosyncracies as far as possible, and so should be useful in learning the language on other machines. The few features in the DEC ALGOL manual which are not mentioned here should not be needed until the student is sufficiently advanced to be using this text for reference only. Exercises at the end of each chapter illustrate the concepts introduced therein, and full solutions are given. I should like to thank Mrs. K. Martin and Mrs. M. Wallis for their patient and careful typing. D. Woodhouse, February, 1975. CONTENTS Chapter 1 : High-level languages 1 Chapter 2: Languagt! struct.ure c.f ALGOL 6n 3 Chapter 3: Statemp.nts: the se'1tences {'\f the language 11 Chapter 4: 3tandard functions 19 Chapter 5: Input an~ Outp~t 21 Chapter 6: l>rray~ 31 Chapter 7 : For ane! ~hil~ statements 34 Chapter 8: Blocks anr! ',: ock sc rll,~ turr. 38 Chapter 9: PrOCe(:l1-:-~S 42 Chapter 10: Strin2 vp·jaLlps 60 Chapter 11: Own v~rj;lI'.i..es clOd s~itc.hef, 64 Chapter 12: Running ~nd ,;ebllggi"1g 67 Bibliography 70 Solutions to Exercises 71 Appendix 1 : Backus NOlUlaj F\:q'm 86 Appendix 2 : ALGuL-like languages 88 Appenclix 3.