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Introduction to Programming in Lisp
Introduction to Programming in Lisp Supplementary handout for 4th Year AI lectures · D W Murray · Hilary 1991 1 Background There are two widely used languages for AI, viz. Lisp and Prolog. The latter is the language for Logic Programming, but much of the remainder of the work is programmed in Lisp. Lisp is the general language for AI because it allows us to manipulate symbols and ideas in a commonsense manner. Lisp is an acronym for List Processing, a reference to the basic syntax of the language and aim of the language. The earliest list processing language was in fact IPL developed in the mid 1950’s by Simon, Newell and Shaw. Lisp itself was conceived by John McCarthy and students in the late 1950’s for use in the newly-named field of artificial intelligence. It caught on quickly in MIT’s AI Project, was implemented on the IBM 704 and by 1962 to spread through other AI groups. AI is still the largest application area for the language, but the removal of many of the flaws of early versions of the language have resulted in its gaining somewhat wider acceptance. One snag with Lisp is that although it started out as a very pure language based on mathematic logic, practical pressures mean that it has grown. There were many dialects which threaten the unity of the language, but recently there was a concerted effort to develop a more standard Lisp, viz. Common Lisp. Other Lisps you may hear of are FranzLisp, MacLisp, InterLisp, Cambridge Lisp, Le Lisp, ... Some good things about Lisp are: • Lisp is an early example of an interpreted language (though it can be compiled). -
The Clon User Manual the Command-Line Options Nuker, Version 1.0 Beta 25 "Michael Brecker"
The Clon User Manual The Command-Line Options Nuker, Version 1.0 beta 25 "Michael Brecker" Didier Verna <[email protected]> Copyright c 2010{2012, 2015, 2017, 2020, 2021 Didier Verna Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided also that the section entitled \Copy- ing" is included exactly as in the original. Permission is granted to copy and distribute translations of this manual into an- other language, under the above conditions for modified versions, except that this permission notice may be translated as well. Cover art by Alexis Angelidis. i Table of Contents Copying ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 1 1 Introduction :::::::::::::::::::::::::::::::::::::::::::::::::::: 3 2 Installation:::::::::::::::::::::::::::::::::::::::::::::::::::::: 5 3 Quick Start ::::::::::::::::::::::::::::::::::::::::::::::::::::: 7 3.1 Full Source :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 7 3.2 Explanation ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 7 4 Using Clon :::::::::::::::::::::::::::::::::::::::::::::::::::: 11 4.1 Synopsis Definition ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 11 4.1.1 Synopsis Items ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 11 4.1.1.1 Text :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: -
The Machine That Builds Itself: How the Strengths of Lisp Family
Khomtchouk et al. OPINION NOTE The Machine that Builds Itself: How the Strengths of Lisp Family Languages Facilitate Building Complex and Flexible Bioinformatic Models Bohdan B. Khomtchouk1*, Edmund Weitz2 and Claes Wahlestedt1 *Correspondence: [email protected] Abstract 1Center for Therapeutic Innovation and Department of We address the need for expanding the presence of the Lisp family of Psychiatry and Behavioral programming languages in bioinformatics and computational biology research. Sciences, University of Miami Languages of this family, like Common Lisp, Scheme, or Clojure, facilitate the Miller School of Medicine, 1120 NW 14th ST, Miami, FL, USA creation of powerful and flexible software models that are required for complex 33136 and rapidly evolving domains like biology. We will point out several important key Full list of author information is features that distinguish languages of the Lisp family from other programming available at the end of the article languages and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSL): languages which are specialized to a particular area and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the “programmable programming language.” We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and AI research in bioinformatics and computational biology. -
Omnipresent and Low-Overhead Application Debugging
Omnipresent and low-overhead application debugging Robert Strandh [email protected] LaBRI, University of Bordeaux Talence, France ABSTRACT application programmers as opposed to system programmers. The state of the art in application debugging in free Common The difference, in the context of this paper, is that the tech- Lisp implementations leaves much to be desired. In many niques that we suggest are not adapted to debugging the cases, only a backtrace inspector is provided, allowing the system itself, such as the compiler. Instead, throughout this application programmer to examine the control stack when paper, we assume that, as far as the application programmer an unhandled error is signaled. Most such implementations do is concerned, the semantics of the code generated by the not allow the programmer to set breakpoints (unconditional compiler corresponds to that of the source code. or conditional), nor to step the program after it has stopped. In this paper, we are mainly concerned with Common Furthermore, even debugging tools such as tracing or man- Lisp [1] implementations distributed as so-called FLOSS, i.e., ually calling break are typically very limited in that they do \Free, Libre, and Open Source Software". While some such not allow the programmer to trace or break in important sys- implementations are excellent in terms of the quality of the tem functions such as make-instance or shared-initialize, code that the compiler generates, most leave much to be simply because these tools impact all callers, including those desired when it comes to debugging tools available to the of the system itself, such as the compiler. -
How Lisp Systems Look Different in Proceedings of European Conference on Software Maintenance and Reengineering (CSMR 2008)
How Lisp Systems Look Different In Proceedings of European Conference on Software Maintenance and Reengineering (CSMR 2008) Adrian Dozsa Tudor Gˆırba Radu Marinescu Politehnica University of Timis¸oara University of Berne Politehnica University of Timis¸oara Romania Switzerland Romania [email protected] [email protected] [email protected] Abstract rently used in a variety of domains, like bio-informatics (BioBike), data mining (PEPITe), knowledge-based en- Many reverse engineering approaches have been devel- gineering (Cycorp or Genworks), video games (Naughty oped to analyze software systems written in different lan- Dog), flight scheduling (ITA Software), natural language guages like C/C++ or Java. These approaches typically processing (SRI International), CAD (ICAD or OneSpace), rely on a meta-model, that is either specific for the language financial applications (American Express), web program- at hand or language independent (e.g. UML). However, one ming (Yahoo! Store or reddit.com), telecom (AT&T, British language that was hardly addressed is Lisp. While at first Telecom Labs or France Telecom R&D), electronic design sight it can be accommodated by current language inde- automation (AMD or American Microsystems) or planning pendent meta-models, Lisp has some unique features (e.g. systems (NASA’s Mars Pathfinder spacecraft mission) [16]. macros, CLOS entities) that are crucial for reverse engi- neering Lisp systems. In this paper we propose a suite of Why Lisp is Different. In spite of its almost fifty-year new visualizations that reveal the special traits of the Lisp history, and of the fact that other programming languages language and thus help in understanding complex Lisp sys- borrowed concepts from it, Lisp still presents some unique tems. -
Praise for Practical Common Lisp
Praise for Practical Common Lisp “Finally, a Lisp book for the rest of us. If you want to learn how to write a factorial function, this is not your book. Seibel writes for the practical programmer, emphasizing the engineer/artist over the scientist and subtly and gracefully implying the power of the language while solving understandable real-world problems. “In most chapters, the reading of the chapter feels just like the experience of writing a program, starting with a little understanding and then having that understanding grow, like building the shoulders upon which you can then stand. When Seibel introduced macros as an aside while building a test frame- work, I was shocked at how such a simple example made me really ‘get’ them. Narrative context is extremely powerful, and the technical books that use it are a cut above. Congrats!” —Keith Irwin, Lisp programmer “While learning Lisp, one is often referred to the CL HyperSpec if they do not know what a particular function does; however, I found that I often did not ‘get it’ just by reading the HyperSpec. When I had a problem of this manner, I turned to Practical Common Lisp every single time—it is by far the most readable source on the subject that shows you how to program, not just tells you.” —Philip Haddad, Lisp programmer “With the IT world evolving at an ever-increasing pace, professionals need the most powerful tools available. This is why Common Lisp—the most powerful, flexible, and stable programming language ever—is seeing such a rise in popu- larity. -
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. -
Lisp Tutorial
Gene Kim 9/9/2016 CSC 2/444 Lisp Tutorial About this Document This document was written to accompany an in-person Lisp tutorial. Therefore, the information on this document alone is not likely to be sufficient to get a good understanding of Lisp. However, the functions and operators that are listed here are a good starting point, so you may look up specifications and examples of usage for those functions in the Common Lisp HyperSpec (CLHS) to get an understanding of their usage. Getting Started Note on Common Lisp Implementations I will use Allegro Common Lisp since it is what is used by Len (and my research). However, for the purposes of this class we won’t be using many (if any) features that are specific to common lisp implementations so you may use any of the common lisp implementations available in the URCS servers. If you are using any libraries that are implementation-specific for assignments in this class, I would strongly urge you to rethink your approach if possible. If we (the TAs) deem any of these features to be solving to much of the assigned problem, you will not receive full credit for the assignment. To see if a function is in the Common Lisp specifications see the Common Lisp HyperSpec (CLHS). Simply google the function followed by “clhs” to see if an entry shows up. Available Common Lisp implementations (as far as I know): - Allegro Common Lisp (acl or alisp will start an Allegro REPL) - CMU Common Lisp (cmucl or lisp will start a CMUCL REPL) - Steel Bank Common Lisp (sbcl will start an SBCL REPL) IDE/Editor It is not important for this class to have an extensive IDE since we will be working on small coding projects. -
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 -
Common Lisp - Viel Mehr Als Nur D¨Amliche Klammern
Einf¨uhrung Geschichtliches Die Programmiersprache Abschluß Common Lisp - viel mehr als nur d¨amliche Klammern Alexander Schreiber <[email protected]> http://www.thangorodrim.de Chemnitzer Linux-Tage 2005 Greenspun’s Tenth Rule of Programming: “Any sufficiently-complicated C or Fortran program contains an ad-hoc, informally-specified bug-ridden slow implementation of half of Common Lisp.” Alexander Schreiber <[email protected]> Common Lisp - viel mehr als nur d¨amliche Klammern 1 / 30 Einf¨uhrung Geschichtliches Die Programmiersprache Abschluß Ubersicht¨ 1 Einf¨uhrung 2 Geschichtliches 3 Die Programmiersprache 4 Abschluß Alexander Schreiber <[email protected]> Common Lisp - viel mehr als nur d¨amliche Klammern 2 / 30 Einf¨uhrung Geschichtliches Die Programmiersprache Abschluß Lisp? Wof¨ur? NASA: Remote Agent (Deep Space 1), Planner (Mars Pathfinder), Viaweb, gekauft von Yahoo f¨ur50 Millionen $, ITA Software: Orbitz engine (Flugticket Planung), Square USA: Production tracking f¨ur“Final Fantasy”, Naughty Dog Software: Crash Bandicoot auf Sony Playstation, AMD & AMI: Chip-Design & Verifizierung, typischerweise komplexe Probleme: Wissensverarbeitung, Expertensysteme, Planungssysteme Alexander Schreiber <[email protected]> Common Lisp - viel mehr als nur d¨amliche Klammern 3 / 30 Einf¨uhrung Geschichtliches Die Programmiersprache Abschluß Lisp? Wof¨ur? NASA: Remote Agent (Deep Space 1), Planner (Mars Pathfinder), Viaweb, gekauft von Yahoo f¨ur50 Millionen $, ITA Software: Orbitz engine (Flugticket Planung), Square USA: Production tracking -
Knowledge Based Engineering: Between AI and CAD
Advanced Engineering Informatics 26 (2012) 159–179 Contents lists available at SciVerse ScienceDirect Advanced Engineering Informatics journal homepage: www.elsevier.com/locate/aei Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design ⇑ Gianfranco La Rocca Faculty of Aerospace Engineering, Delft University of Technology, Chair of Flight Performance and Propulsion, Kluyverweg 1, 2629HS Delft, The Netherlands article info abstract Article history: Knowledge based engineering (KBE) is a relatively young technology with an enormous potential for Available online 16 March 2012 engineering design applications. Unfortunately the amount of dedicated literature available to date is quite low and dispersed. This has not promoted the diffusion of KBE in the world of industry and acade- Keywords: mia, neither has it contributed to enhancing the level of understanding of its technological fundamentals. Knowledge based engineering The scope of this paper is to offer a broad technological review of KBE in the attempt to fill the current Knowledge engineering information gap. The artificial intelligence roots of KBE are briefly discussed and the main differences and Engineering design similarities with respect to classical knowledge based systems and modern general purpose CAD systems Generative design highlighted. The programming approach, which is a distinctive aspect of state-of-the-art KBE systems, is Knowledge based design Rule based design discussed in detail, to illustrate its effectiveness in capturing and re-using engineering knowledge to automate large portions of the design process. The evolution and trends of KBE systems are investigated and, to conclude, a list of recommendations and expectations for the KBE systems of the future is provided. -
1+1=1: an Optimizing Caml Compiler
1+1=1 : an optimizing Caml compiler Manuel Serrano, Pierre Weis To cite this version: Manuel Serrano, Pierre Weis. 1+1=1 : an optimizing Caml compiler. [Research Report] RR-2301, INRIA. 1994. inria-00074372 HAL Id: inria-00074372 https://hal.inria.fr/inria-00074372 Submitted on 24 May 2006 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. ¢¡¤£¦¥§ ¨¥ © ¥ ¡ ¥§ ¢¡ § ¡ ¡¤ !" ¥§ ¢#© $%¥& ¤©§¥ !" ¥§ ¢#© ' ( ' ) '+*-,&. /10+2§3¦4 3653¦.$7 89,&4 :<;=/>4 0?3¦:A@CB DFE§G%HJIKI¦LNMOQP RSEQTUHJV¢W X Y[Z"\"]_^ `baQVdc¨cdHJegfJhbhji k§lmonplqorrst uwvyxwz¦v{¢|¦}S~Jvy¦z K K u}}pu¨yK w§w¦yvyKyxy6v apport de recherche 1994 ISSN 0249-6399 ¢¡£ ¥¤ §¦©¨ ¨ ! " #$©%'& DFE¤G%HJI I LNMQOP§RSEQTUHJV¢W!( k*),+.-/)1023254 t6$7§08:9<;=8?>A@B2DCE+.8GF:H.;I4.JK=),+.-.)<02320L,FG+M4NLO-QP4NMIFR4'8G+.-/F:9<FG4N8 k*),+S<4NL,>"TA9<>,8:0=J=7)AFG>,L108 lO0K=KE+.),L"UB4')A49,V=4W)19,V=4MYXJt.Z/[=\]6$^.;IFR8G8G4NL'\_/_`a6$Z.[ Kb0c-.4N> d#egfWhjikblh/monp4§K=),4N>A4WMqL'0YMI4Nrs7§0c258b9t+.25KIFR8G4N)jJr§V=F:9,V5r§0>+.C=L<0FGM=4U#CB@50M5+/)AFG-.FGMb0c8b0KIK=)A+B0.9,Vvu 0O>AFG23K=8G4wKIFRKE4N8GFGM=4Cb4NLxr4N4NMDLxr+"4tyzFG>,LAFGM=-Y9<+.23K=FG8G4N)A>jJ4j0.9,V+/M=4§UB4N{.+/LA4U