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High-Level Language Features Not Found in Ordinary LISP. the GLISP
DOCUMENT RESUME ED 232 860 SE 042 634 AUTHOR Novak, Gordon S., Jr. TITLE GLISP User's Manual. Revised. INSTITUTION Stanford Univ., Calif. Dept. of Computer Science. SPONS AGENCY Advanced Research Projects Agency (DOD), Washington, D.C.; National Science Foundation, Washington, D.C. PUB DATE 23 Nov 82 CONTRACT MDA-903-80-c-007 GRANT SED-7912803 NOTE 43p.; For related documents, see SE 042 630-635. PUB TYPE Guides General (050) Reference Materials General (130) EDRS PRICE MF01/PCO2 Plus Postage. DESCRIPTORS *Computer Programs; *Computer Science; Guides; *Programing; *Programing Languages; *Resource Materials IDENTIFIERS *GLISP Programing Language; National Science Foundation ABSTRACT GLISP is a LISP-based language which provides high-level language features not found in ordinary LISP. The GLISP language is implemented by means of a compiler which accepts GLISP as input and produces ordinary LISP as output. This output can be further compiled to machine code by the LISP compiler. GLISP is available for several ISP dialects, including Interlisp, Maclisp, UCI Lisp, ELISP, Franz Lisp, and Portable Standard Lisp. The goal of GLISP is to allow structured objects to be referenced in a convenient, succinct language and to allow the structures of objects to be changed without changing the code which references the objects. GLISP provides both PASCAL-like and English-like syntaxes; much of the power and brevity of GLISP derive from the compiler features necessary to support the relatively informal, English-like language constructs. Provided in this manual is the documentation necessary for using GLISP. The documentation is presented in the following sections: introduction; object descriptions; reference to objects; GLISP program syntax; messages; context rules and reference; GLISP and knowledge representation languages; obtaining and using GLISP; GLISP hacks (some ways of doing things in GLISP which might not be entirely obvious at first glance); and examples of GLISP object declarations and programs. -
View of XML Technology
AN APPLICATION OF EXTENSlBLE MARKUP LANGUAGE FOR INTEGRATION OF KNOWLEDGE-BASED SYSTEM WITH JAVA APPLICATIONS A Thesis Presented to The Faculty of the Fritz J. and Dolores H. Russ College of Engineering and Technology Ohio University In Partial Fulfillment of the Requirement for the Degree Master of Science BY Sachin Jain November, 2002 ACKNOWLEDGEMENTS It is a pleasure to thank the many people who made this thesis possible. My sincere gratitude to my thesis advisor, Dr. DuSan Sormaz, who helped and guided me towards implementing the ideas presented in this thesis. His dedication to research and his effort in the development of my thesis was an inspiration throughout this work. The thesis would not be successful without other members of my committee, Dr. David Koonce and Dr. Constantinos Vassiliadis. Special thanks to them for their substantial help and suggestions during the development of this thesis. I would like also to thank Dr. Dale Masel for his class on guidelines for how to write thesis. Thanlts to my fellow colleagues and members of the lMPlanner Group, Sridharan Thiruppalli, Jaikumar Arumugam and Prashant Borse for their excellent cooperation and suggestions. A lot of infom~ation~1sef~11 to the work was found via the World Wide Web; 1 thank those who made their material available on the Web and those who kindly responded back to my questions over the news-groups. Finally, it has been pleasure to pursue graduate studies at IMSE department at Ohio University, an unique place that has provided me with great exposures to intricacies underlying development, prograrn~ningand integration of different industrial systems; thus making this thesis posslbie. -
Practical Semantic Web and Linked Data Applications
Practical Semantic Web and Linked Data Applications Common Lisp Edition Uses the Free Editions of Franz Common Lisp and AllegroGraph Mark Watson Copyright 2010 Mark Watson. All rights reserved. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works Version 3.0 United States License. November 3, 2010 Contents Preface xi 1. Getting started . xi 2. Portable Common Lisp Code Book Examples . xii 3. Using the Common Lisp ASDF Package Manager . xii 4. Information on the Companion Edition to this Book that Covers Java and JVM Languages . xiii 5. AllegroGraph . xiii 6. Software License for Example Code in this Book . xiv 1. Introduction 1 1.1. Who is this Book Written For? . 1 1.2. Why a PDF Copy of this Book is Available Free on the Web . 3 1.3. Book Software . 3 1.4. Why Graph Data Representations are Better than the Relational Database Model for Dealing with Rapidly Changing Data Requirements . 4 1.5. What if You Use Other Programming Languages Other Than Lisp? . 4 2. AllegroGraph Embedded Lisp Quick Start 7 2.1. Starting AllegroGraph . 7 2.2. Working with RDF Data Stores . 8 2.2.1. Creating Repositories . 9 2.2.2. AllegroGraph Lisp Reader Support for RDF . 10 2.2.3. Adding Triples . 10 2.2.4. Fetching Triples by ID . 11 2.2.5. Printing Triples . 11 2.2.6. Using Cursors to Iterate Through Query Results . 13 2.2.7. Saving Triple Stores to Disk as XML, N-Triples, and N3 . 14 2.3. AllegroGraph’s Extensions to RDF . -
The Evolution of Lisp
1 The Evolution of Lisp Guy L. Steele Jr. Richard P. Gabriel Thinking Machines Corporation Lucid, Inc. 245 First Street 707 Laurel Street Cambridge, Massachusetts 02142 Menlo Park, California 94025 Phone: (617) 234-2860 Phone: (415) 329-8400 FAX: (617) 243-4444 FAX: (415) 329-8480 E-mail: [email protected] E-mail: [email protected] Abstract Lisp is the world’s greatest programming language—or so its proponents think. The structure of Lisp makes it easy to extend the language or even to implement entirely new dialects without starting from scratch. Overall, the evolution of Lisp has been guided more by institutional rivalry, one-upsmanship, and the glee born of technical cleverness that is characteristic of the “hacker culture” than by sober assessments of technical requirements. Nevertheless this process has eventually produced both an industrial- strength programming language, messy but powerful, and a technically pure dialect, small but powerful, that is suitable for use by programming-language theoreticians. We pick up where McCarthy’s paper in the first HOPL conference left off. We trace the development chronologically from the era of the PDP-6, through the heyday of Interlisp and MacLisp, past the ascension and decline of special purpose Lisp machines, to the present era of standardization activities. We then examine the technical evolution of a few representative language features, including both some notable successes and some notable failures, that illuminate design issues that distinguish Lisp from other programming languages. We also discuss the use of Lisp as a laboratory for designing other programming languages. We conclude with some reflections on the forces that have driven the evolution of Lisp. -
Allegro CL User Guide
Allegro CL User Guide Volume 1 (of 2) version 4.3 March, 1996 Copyright and other notices: This is revision 6 of this manual. This manual has Franz Inc. document number D-U-00-000-01-60320-1-6. Copyright 1985-1996 by Franz Inc. All rights reserved. No part of this pub- lication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means electronic, mechanical, by photocopying or recording, or otherwise, without the prior and explicit written permission of Franz incorpo- rated. Restricted rights legend: Use, duplication, and disclosure by the United States Government are subject to Restricted Rights for Commercial Software devel- oped at private expense as specified in DOD FAR 52.227-7013 (c) (1) (ii). Allegro CL and Allegro Composer are registered trademarks of Franz Inc. Allegro Common Windows, Allegro Presto, Allegro Runtime, and Allegro Matrix are trademarks of Franz inc. Unix is a trademark of AT&T. The Allegro CL software as provided may contain material copyright Xerox Corp. and the Open Systems Foundation. All such material is used and distrib- uted with permission. Other, uncopyrighted material originally developed at MIT and at CMU is also included. Appendix B is a reproduction of chapters 5 and 6 of The Art of the Metaobject Protocol by G. Kiczales, J. des Rivieres, and D. Bobrow. All this material is used with permission and we thank the authors and their publishers for letting us reproduce their material. Contents Volume 1 Preface 1 Introduction 1.1 The language 1-1 1.2 History 1-1 1.3 Format -
Interlisp-VAX: a Report
August 1981 Report. No. SUN-CS-81-879 Interlisp-VAX: A Report Larry M. Masintcr Department of Computer Science Stanford University Slanford, CA 94305 Interlisp-VAX: A Report Larry M. Masinter August 1,198l Contents: I. Introduction II. Interlisp-VAX: Oveniew and Status III. What will Interlisp-VAX be like? IV. Conclusions The views expressed in this report are those of the author. They do not necessarily reflect those of the Xerox Corporation, Stanford University, or the University of Southern California. This study was funded in part through the SUMEX Computer Project at Stanford University under grant RR-00785 from the Biotechnology Resources Program of the National institutes of Health. I. INTI~ODUCTION Since November 1979, a group at the Information Sciences Institute of the University of Southern California has been working on an implementation of Interlisp for the DEC VAX-series’ computers. This report is a description of the current status, future prospects, and estimated character of that Interlisp-VAX implementation. It is the result of several days of discussion with those at ISI involved with the implementation (Dave Dyer, Hans Koomen, Ray Bates, Dan Lynch): with John L. White of MJT, who is working on an implementation of another Lisp for the VAX (NIL); with the implementors of Interlisp-Jericho at BBN (Alice Hartley, Norton Greenfeld, Martin Yonke, John Vittal, Frank Zdybel, Jeff Gibbons, Darylc Lewis); with the implementors of Franz Lisp and Berkeley Unix* at U.C. Berkeley (Richard Fateman, Bill Joy, Keith Sklower, John Foderaro); and with my colleagues at Xerox PARC. An earlier draft of this report was circulated to the partics involved in the Interlisp-VAX discussions. -
History of the Lisp Language
History of the Lisp Language History of the Lisp Language The following information is derived from the history section of dpANS Common Lisp. Lisp is a family of languages with a long history. Early key ideas in Lisp were developed by John McCarthy during the 1956 Dartmouth Summer Research Project on Artificial Intelligence. McCarthy’s motivation was to develop an algebraic list processing language for artificial intelligence work. Implementation efforts for early dialects of Lisp were undertaken on the IBM 704, the IBM 7090, the Digital Equipment Corporation (DEC) PDP−1, the DEC PDP−6, and the PDP−10. The primary dialect of Lisp between 1960 and 1965 was Lisp 1.5. By the early 1970’s there were two predominant dialects of Lisp, both arising from these early efforts: MacLisp and Interlisp. For further information about very early Lisp dialects, see The Anatomy of Lisp or Lisp 1.5 Programmer’s Manual. MacLisp improved on the Lisp 1.5 notion of special variables and error handling. MacLisp also introduced the concept of functions that could take a variable number of arguments, macros, arrays, non−local dynamic exits, fast arithmetic, the first good Lisp compiler, and an emphasis on execution speed. For further information about Maclisp, see Maclisp Reference Manual, Revision 0 or The Revised Maclisp Manual. Interlisp introduced many ideas into Lisp programming environments and methodology. One of the Interlisp ideas that influenced Common Lisp was an iteration construct implemented by Warren Teitelman that inspired the loop macro used both on the Lisp Machines and in MacLisp, and now in Common Lisp. -
Einführung in LISP
Einführung in LISP Simon Lutz, Frank Preiswerk “Real Programmers don't write in LISP. Only idiots' programs contain more parenthesis than actual code.” “Lisp is worth learning for the profound enlightenment experience you will have when you finally get it; that experience will make you a better programmer for the rest of your days, even if you never actually use Lisp itself a lot.” 04/19/06 Seminar 10 Programmiersprachen - Lisp/Scheme - Simon Lutz, Frank Preiswerk 1 Zeitlicher Überblick 1958: Lisp wurde von John McCarthy am MIT speziell für nicht-numerische Probleme designed und von Steve Russell auf einer IBM 704 Maschine implementiert. Der Name bedeutet “List Processing Language”. 1968: Erster Lisp Compiler geschrieben in Lisp von Tim Hart und Mike Levin. 1968-70: Implementation von SHRDLU mittels Lisp, berühmtes AI-System. 1970er Jahre: Performanz von bestehenden Lisp-Systemen wird zum Thema, es entstehen optimierte Lisp-Maschinen. Heute wieder verschwunden. 1980er – 1990er Jahre: Bemühungen für eine Vereinheitlichung der vielen bestehenden Lisp-Dialekte: Common Lisp entsteht. 1994: ANSI veröffentlicht Common Lisp Standard. Dies zu einem Zeitpunkt, als der Weltmarkt für Lisp viel kleiner war als in den früheren Zeiten. 04/19/06 Seminar 10 Programmiersprachen - Lisp/Scheme - Simon Lutz, Frank Preiswerk 2 Lisp heute Nach einem Rückgang in den 90er Jahren ist das Interesse seit 2000 wieder gestiegen, massgeblich im Rahmen von Open Source Implementationen von Common Lisp. 2004: Peter Seibel’s “Practical Common Lisp” ist für kurze Zeit an zweiter Stelle von Amazon’s populärsten Programmierbüchern. April 2006: Tiobe Software rankt Lisp auf Platz 14 der populärsten Programmiersprachen. Neue “Lisper” beschreiben die Sprache gerne als “eye-opening experience” und behaupten, in Lisp deutlich produktiver zu sein als in anderen Sprachen. -
Object-Oriented Programming Lisp Flavors and Their Application to a Fire Effects Information System
University of Montana ScholarWorks at University of Montana Graduate Student Theses, Dissertations, & Professional Papers Graduate School 1986 Object-oriented programming Lisp Flavors and their application to a fire effects information system James A. Mitchell The University of Montana Follow this and additional works at: https://scholarworks.umt.edu/etd Let us know how access to this document benefits ou.y Recommended Citation Mitchell, James A., "Object-oriented programming Lisp Flavors and their application to a fire effects information system" (1986). Graduate Student Theses, Dissertations, & Professional Papers. 5113. https://scholarworks.umt.edu/etd/5113 This Thesis is brought to you for free and open access by the Graduate School at ScholarWorks at University of Montana. It has been accepted for inclusion in Graduate Student Theses, Dissertations, & Professional Papers by an authorized administrator of ScholarWorks at University of Montana. For more information, please contact [email protected]. COPYRIGHT ACT OF 1976 T h i s i s a n unpublished m a n u s c r ip t i n w h ic h c o p y r ig h t s u b s i s t s . A n y f u r t h e r r e p r i n t i n g o f i t s c o n t e n t s m u s t b e a p p r o v e d BY THE AUTHOR. Ma n s f i e l d L ib r a r y U n i v e r s i t y o f Mo n t a n a D a t e : 1 9 S 8 ________ Object-Oriented Programming, Lisp Flavors and Their Application to a Fire Effects Information System by James A. -
Emacs, Lisp, and Python Programming Information for Umaine COS 470
Emacs, Lisp, and Python Programming Information for UMaine COS 470 Roy M. Turner Spring, 2021 (version 2021-01-23) Contents 1 Emacs 3 1.1 What is Emacs, anyway? ................................. 3 1.2 Installing Emacs ...................................... 4 1.3 Using Emacs ........................................ 4 1.3.1 Starting and quitting Emacs ........................... 4 1.3.2 Interrupting Emacs ................................. 5 1.3.3 Learning Emacs basics ............................... 5 1.3.4 Customizing Emacs ................................ 5 1.3.5 Editing Lisp files .................................. 8 1.3.6 Finding and installing Emacs packages ...................... 10 1.3.7 Useful modes and commands ........................... 10 2 Lisp 13 2.1 What is Lisp, anyway? ................................... 13 2.2 Installing Lisp ........................................ 14 2.2.1 Pre-packaged Lisp+Emacs ............................. 15 2.2.2 Installing the Lisp and Emacs separately ..................... 15 2.3 Using Lisp Within Emacs ................................. 16 2.3.1 Starting and quitting Lisp ............................. 16 2.3.2 Editing and evaluating functions ......................... 17 2.3.3 Loading functions into Lisp ............................ 17 2.3.4 I/O in Lisp ..................................... 18 2.3.5 Getting help .................................... 19 2.3.6 Debugging Lisp programs ............................. 20 2.4 Lisp libraries and packages ................................ 21 2.5 Resources -
Curso De Lisp Con Golden Common Lisp
Curso de Lisp con Golden Common Lisp Jos´eA. Alonso Dpto. de Algebra,´ Computaci´on,Geometr´ıay Topolog´ıa Universidad de Sevilla Sevilla, 1990 Contenido 1 El c´alculoaritm´etico 1 1.1 Los n´umerosy sus operaciones . 1 1.2 Nombrar los objetos de c´alculo. 4 1.3 Definici´onde nuevas funciones . 6 1.4 Variables globales y locales . 8 2 El c´alculosimb´olico 9 2.1 La funci´onQUOTE sobre s´ımbolos . 9 2.2 Las expresiones en Lisp . 10 2.3 La funci´onQUOTE sobre listas . 11 2.4 Funciones de b´usquedaen listas . 11 2.5 Funciones de construcci´onde listas . 16 2.6 Funciones de modificaci´onf´ısicade listas . 18 3 El control 19 3.1 Los valores l´ogicos . 19 3.2 Funciones de comparaci´onde n´umeros . 19 3.3 Funciones de comparaci´onde s´ımbolos y listas . 20 3.4 Condicionales . 22 3.4.1 La funci´onIF . 22 3.4.2 La funci´onCOND . 23 3.4.3 Las funciones AND y OR . 26 3.4.4 Las funciones WHEN y UNLESS . 27 4 La programaci´onrecursiva 28 4.1 Funciones recursivas . 28 4.2 Las funciones TRACE y UNTRACE . 29 4.3 Aritm´eticaentera positiva . 29 4.4 La aritm´eticaordinaria del lisp . 35 4.5 Simulaci´onde primitivas sobre listas . 36 4.6 Definici´onde funciones sobre listas . 39 i 4.7 Funciones sobre ´arboles . 43 4.8 Funciones sobre conjuntos . 44 5 La iteraci´onen Lisp 47 5.1 El grupo PROG, GO, RETURN . 47 5.2 Las funciones DO y DO* . -
Guide to the Herbert Stoyan Collection on LISP Programming, 2011
Guide to the Herbert Stoyan collection on LISP programming Creator: Herbert Stoyan 1943- Dates: 1955-2001, bulk 1957-1990 Extent: 105 linear feet, 160 boxes Collection number: X5687.2010 Accession number: 102703236 Processed by: Paul McJones with the aid of fellow volunteers John Dobyns and Randall Neff, 2010 XML encoded by: Sara Chabino Lott, 2011 Abstract The Herbert Stoyan collection on LISP programming contains materials documenting the origins, evolution, and use of the LISP programming language and many of its applications in artificial intelligence. Stoyan collected these materials during his career as a researcher and professor, beginning in the former German Democratic Republic (Deutsche Demokratische Republik) and moving to the Federal Republic of Germany (Bundesrepublik Deutschland) in 1981. Types of material collected by Stoyan include memoranda, manuals, technical reports, published and unpublished papers, source program listings, computer media (tapes and flexible diskettes), promotional material, and correspondence. The collection also includes manuscripts of several books written by Stoyan and a small quantity of his personal papers. Administrative Information Access Restrictions The collection is open for research. Publication Rights The Computer History Museum (CHM) can only claim physical ownership of the collection. Users are responsible for satisfying any claims of the copyright holder. Permission to copy or publish any portion of the Computer History Museum’s collection must be given by the Computer History Museum. Preferred Citation [Identification of Item], [Date], Herbert Stoyan collection on LISP programming, Lot X5687.2010, Box [#], Folder [#], Computer History Museum Provenance The Herbert Stoyan collection on LISP programming was donated by Herbert Stoyan to the Computer History Museum in 2010.