Machine Intelligence and Robotics: Report of the NASA Study Group
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Stanford University Medical Experimental Computer Resource (SUMEX) Records SC1248
http://oac.cdlib.org/findaid/ark:/13030/c8s46z8g Online items available Guide to the Stanford University Medical Experimental Computer Resource (SUMEX) Records SC1248 Daniel Hartwig & Jenny Johnson Department of Special Collections and University Archives January 2018 Green Library 557 Escondido Mall Stanford 94305-6064 [email protected] URL: http://library.stanford.edu/spc Guide to the Stanford University SC1248 1 Medical Experimental Computer Resource (SUMEX) Records SC... Language of Material: English Contributing Institution: Department of Special Collections and University Archives Title: Stanford University Medical Experimental Computer Resource (SUMEX) records Identifier/Call Number: SC1248 Physical Description: 33 Linear Feet Date (inclusive): 1975-1991 Special Collections and University Archives materials are stored offsite and must be paged 48 hours in advance. For more information on paging collections, see the department's website: http://library.stanford.edu/spc. Conditions Governing Access Materials are open for research use. Audio-visual materials are not available in original format, and must be reformatted to a digital use copy. Conditions Governing Use All requests to reproduce, publish, quote from, or otherwise use collection materials must be submitted in writing to the Head of Special Collections and University Archives, Stanford University Libraries, Stanford, California 94304-6064. Consent is given on behalf of Special Collections as the owner of the physical items and is not intended to include or imply permission from the copyright owner. Such permission must be obtained from the copyright owner, heir(s) or assigns. Restrictions also apply to digital representations of the original materials. Use of digital files is restricted to research and educational purposes. -
Out There Somewhere Could Be a PLANET LIKE OURS the Breakthroughs We’Ll Need to find Earth 2.0 Page 30
September 2014 Out there somewhere could be A PLANET LIKE OURS The breakthroughs we’ll need to find Earth 2.0 Page 30 Faster comms with lasers/16 Real fallout from Ukraine crisis/36 NASA Glenn chief talks tech/18 A PUBLICATION OF THE AMERICAN INSTITUTE OF AERONAUTICS AND ASTRONAUTICS Engineering the future Advanced Composites Research The Wizarding World of Harry Potter TM Bloodhound Supersonic Car Whether it’s the world’s fastest car With over 17,500 staff worldwide, and 2,800 in or the next generation of composite North America, we have the breadth and depth of capability to respond to the world’s most materials, Atkins is at the forefront of challenging engineering projects. engineering innovation. www.na.atkinsglobal.com September 2014 Page 30 DEPARTMENTS EDITOR’S NOTEBOOK 2 New strategy, new era LETTER TO THE EDITOR 3 Skeptical about the SABRE engine INTERNATIONAL BEAT 4 Now trending: passive radars IN BRIEF 8 A question mark in doomsday comms Page 12 THE VIEW FROM HERE 12 Surviving a bad day ENGINEERING NOTEBOOK 16 Demonstrating laser comms CONVERSATION 18 Optimist-in-chief TECH HISTORY 22 Reflecting on radars PROPULSION & ENERGY 2014 FORUM 26 Electric planes; additive manufacturing; best quotes Page 38 SPACE 2014 FORUM 28 Comet encounter; MILSATCOM; best quotes OUT OF THE PAST 44 CAREER OPPORTUNITIES 46 Page 16 FEATURES FINDING EARTH 2.0 30 Beaming home a photo of a planet like ours will require money, some luck and a giant telescope rich with technical advances. by Erik Schechter COLLATERAL DAMAGE 36 Page 22 The impact of the Russia-Ukrainian conflict extends beyond the here and now. -
The Cedar Programming Environment: a Midterm Report and Examination
The Cedar Programming Environment: A Midterm Report and Examination Warren Teitelman The Cedar Programming Environment: A Midterm Report and Examination Warren Teitelman t CSL-83-11 June 1984 [P83-00012] © Copyright 1984 Xerox Corporation. All rights reserved. CR Categories and Subject Descriptors: D.2_6 [Software Engineering]: Programming environments. Additional Keywords and Phrases: integrated programming environment, experimental programming, display oriented user interface, strongly typed programming language environment, personal computing. t The author's present address is: Sun Microsystems, Inc., 2550 Garcia Avenue, Mountain View, Ca. 94043. The work described here was performed while employed by Xerox Corporation. XEROX Xerox Corporation Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, California 94304 1 Abstract: This collection of papers comprises a report on Cedar, a state-of-the-art programming system. Cedar combines in a single integrated environment: high-quality graphics, a sophisticated editor and document preparation facility, and a variety of tools for the programmer to use in the construction and debugging of his programs. The Cedar Programming Language is a strongly-typed, compiler-oriented language of the Pascal family. What is especially interesting about the Ce~ar project is that it is one of the few examples where an interactive, experimental programming environment has been built for this kind of language. In the past, such environments have been confined to dynamically typed languages like Lisp and Smalltalk. The first paper, "The Roots of Cedar," describes the conditions in 1978 in the Xerox Palo Alto Research Center's Computer Science Laboratory that led us to embark on the Cedar project and helped to define its objectives and goals. -
Scenarios for Using the ARPANET at the International Conference On
VAlirc NIC 11863 SCENARIOS for using the ARPANET at the INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION Washington, D.C. October 24—26, 1972 ARPA Network Information Center Stanford Research Institute Menlo Park, California 94025 , 11?>o - 3 £: 3c? - 16 $<}0-l!:}o 3 - & i 3o iW |{: 3 cp - 3 NIC 11863 SCENARIOS for using the ARPANET at the INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION Washington, D.C. October 24—26, 1972 ARPA Network Information Center Stanford Research Institute Menlo Park, California 94025 SCENARIOS FOR USING THE ARPANET AT THE ICCC We intend that the following scenarios be used by individuals to browse the ARPA Computer Network (ARPANET) in its current early stage of development and thereby to introduce themselves to some possibilities in computer communication. The scenarios include only a few of the existing ARPANET resources. They were chosen for this booklet (somewhat haphazardly) to exhibit variety and sophistication, while retaining simplicity. The scenarios are by no means complete or perfect. We have tried to make them accurate, but are certain that they contain errors. The scenarios are, therefore, only one kind of tool for experiencing computer communication. We assume that you will attend the various showings of film and videotape, pay close attention at the several scheduled demonstrations of specific resources, approach the ARPANET aggressively yourself using these scenarios, and unhesitatingly call upon the ICCC Special Project People for the advice and encouragement you are sure to need. The account numbers and passwords provided in these scenarios were generated spe cifically for the ICCC. It is hoped that some of them will remain available after the ICCC for continued browsing. -
Computer Chess Methods
COMPUTER CHESS METHODS T.A. Marsland Computing Science Department, University of Alberta, EDMONTON, Canada T6G 2H1 ABSTRACT Article prepared for the ENCYCLOPEDIA OF ARTIFICIAL INTELLIGENCE, S. Shapiro (editor), D. Eckroth (Managing Editor) to be published by John Wiley, 1987. Final draft; DO NOT REPRODUCE OR CIRCULATE. This copy is for review only. Please do not cite or copy. Acknowledgements Don Beal of London, Jaap van den Herik of Amsterdam and Hermann Kaindl of Vienna provided helpful responses to my request for de®nitions of technical terms. They and Peter Frey of Evanston also read and offered constructive criticism of the ®rst draft, thus helping improve the basic organization of the work. In addition, my many friends and colleagues, too numerous to mention individually, offered perceptive observations. To all these people, and to Ken Thompson for typesetting the chess diagrams, I offer my sincere thanks. The experimental work to support results in this article was possible through Canadian Natural Sciences and Engineering Research Council Grant A7902. December 15, 1990 COMPUTER CHESS METHODS T.A. Marsland Computing Science Department, University of Alberta, EDMONTON, Canada T6G 2H1 1. HISTORICAL PERSPECTIVE Of the early chess-playing machines the best known was exhibited by Baron von Kempelen of Vienna in 1769. Like its relations it was a conjurer's box and a grand hoax [1, 2]. In contrast, about 1890 a Spanish engineer, Torres y Quevedo, designed a true mechanical player for king-and-rook against king endgames. A later version of that machine was displayed at the Paris Exhibition of 1914 and now resides in a museum at Madrid's Polytechnic University [2]. -
Information Technology R&D: Critical Trends And
Information Technology R&D: Critical Trends and Issues February 1985 NTIS order #PB85-245660 — Recommended Citation: Information Technology and R&D: Critical Trends and Issues (Washington, DC: U.S. Congress, Office of Technology Assessment, OTA-CIT-268, February 1985). Library of Congress Catalog Card Number 84-601150 For sale by the Superintendent of Documents U.S. Government Printing Office, Washington, DC 20402 Foreword New computer and communications technologies are obviously transforming American life. They are the basis of many of the changes in our telecommunica- tions system and also a new wave of automation on the farm, in manufacturing and transportation, and in the office. They are changing the form and delivery of government services such as education and the judicial system. Information products and services have become a major and still rapidly growing component of our economy. A strong U.S. research and development effort has, in the past, been the source of much of this new technology. However, recent events, such as the restructur- ing of the U.S. telecommunications industry and the emergence of strong foreign competition for some technologies, have changed the environment for R&D. Con- sequently, the House Committee on Science and Technology, the House Commit- tee on Energy and Commerce, and its Subcommittee on Telecommunications, Con- sumer Protection, and Finance asked OTA to conduct an assessment of the current state of R&D in these critical areas. In this report, OTA examines four specific areas of research as case studies: computer architecture, artificial intelligence, fiber optics, and software engineer- ing. It discusses the structure and orientation of some selected foreign programs. -
An Interview with Oliver Selfridge1
An Interview with Oliver Selfridge1 Oliver Selfridge was born in 1926 in London. He studied Mathematics at MIT under Norbert Wiener and went on to write important early papers on pattern recognition and machine learning. His 1958 paper on the Pandemonium system is regarded as one of the classics of machine intelligence. He has worked at MIT Lincoln Laboratory, BBN and GTE Laboratories where he was a Chief Scientist. He has served on various advisory panels to the White House and numerous national committees. As well as his scientific writings, he has authored several books for children2. This is an edited transcript of an interview conducted on the 8th May 2006. Phil Husbands: Could you start by saying a little about your early years? Were there any particular influences from home or school that put you on the road to a career in science and engineering? Oliver Selfridge: Well, an important part of my education was my father. Without knowing any mathematics himself, he was wildly enthusiastic about my interest in it, which started at quite an early age: seven or eight. As was usual in England back then, I went away to school when I was ten. At the age of thirteen, I entered Malvern College, one of the (so-called) public schools. I remember we spent the year of 1940 in Blenheim Palace because the Royal Radar Establishment (RRE) had taken over the school. While at Malvern I covered calculus to the standard you’d reach after the first two years of a degree at MIT. One of the great things about education back then, and I am not sure that it’s true any more, is that if you were good in one subject they’d move you ahead in that subject. -
Copy of Scan258
Ninetieth Annual Commencement June 8) 1984 CALIFORNIA INSTITUTE OF TECHNOLOGY CALIFORNIA INSTITUTE OF TECHNOLOGY Ninetieth Annual Commencement FRIDAY MORNING AT TEN O'CLOCK JUNE EIGHTH, NINETEEN EIGHTY-FOUR The Commencemen t Ceremony These tribal rites have a very long history. They go back to the ceremony of initiation for new university teachers in mediaeval Europe. It was then customary for s tudents, after an appropriate apPfl'nticeship to learning and the prcsl~ntation of a thesis as their masterpiece, to be admi tted to the Guild of Masters of Arts and granted the license to teach. In the ancient University of Bologna this right was granted by authority of the Pope and in the name o f the Iioly Trini ty. We do not this day claim such hig h authori ty. As in any other g uild, whether craft Of merchant, the master's status was crucial. In theory at I~ ast, it sepa rated the men from th e boys, the competent from the incom petent, O n the way to hi s mas ter's degree, a student migh t coll ect a bachelor's degree in recognition of the faci that he was half-trained, Of p.utially equ ipped . The doctor's degree was somewha t different. Originall y indis tinguishable from the mas ters, the docto rs g radually emerged by a process of escalation into a supermagisterial role-first of all in the higher facu lties of theo logy, law, and medicine. It wi ll come as no surprise that the lawyers had a pa rtic ular and early yen for this special distinction. -
CASE STUDY Chess: Deep Blue's Victory AI As Sport How Intelligent Is
AI as Sport In 1965 the Russian mathematician Alexander CASE STUDY Kronrod said, "Chess is the Drosophila of artificial intelligence." However, computer chess has developed as genetics might have if Chess: Deep Blue’s Victory the geneticists had concentrated their efforts starting in 1910 on breeding racing Drosophilia. We would have some science, but mainly we would have very fast fruit flies." - John McCarthy 1 2 How Intelligent is Deep Blue? On Game 2 (Game 2 - Deep Blue took an early lead. Kasparov resigned, but it turned out he could have forced a draw by perpetual check.) Saying Deep Blue doesn't really think about chess is like saying an airplane doesn't really This was real chess. This was a game any fly because it doesn't flap its wings. human grandmaster wouldhave been proud of. Joel Benjamin - Drew McDermott grandmaster, member Deep Blue team 3 4 Kasparov on Deep Blue Combinatorics of Chess Opening book 1996: Kasparov Beats Deep Blue Endgame • database of all 5 piece endgames exists; “I could feel --- I could smell --- a new kind of database of all 6 piece games being built intelligence acrossthe table.” Middle game • branching factor of 30 to 40 1997: Deep Blue Beats Kasparov • 1000(d/2) positions – 1 move by each player = 1,000 “Deep Blue hasn't proven anything.” – 2 moves by each player = 1,000,000 – 3 moves by each player = 1,000,000,000 5 6 1 Positions with Alpha-Beta Pruning History of Search Innovations Search Depth Positions Shannon, Turing Minimax search 1950 Kotok/McCarthy Alpha-beta pruning 1966 260MacHack Transposition -
Building the Second Mind, 1961-1980: from the Ascendancy of ARPA to the Advent of Commercial Expert Systems Copyright 2013 Rebecca E
Building the Second Mind, 1961-1980: From the Ascendancy of ARPA to the Advent of Commercial Expert Systems copyright 2013 Rebecca E. Skinner ISBN 978 09894543-4-6 Forward Part I. Introduction Preface Chapter 1. Introduction: The Status Quo of AI in 1961 Part II. Twin Bolts of Lightning Chapter 2. The Integrated Circuit Chapter 3. The Advanced Research Projects Agency and the Foundation of the IPTO Chapter 4. Hardware, Systems and Applications in the 1960s Part II. The Belle Epoque of the 1960s Chapter 5. MIT: Work in AI in the Early and Mid-1960s Chapter 6. CMU: From the General Problem Solver to the Physical Symbol System and Production Systems Chapter 7. Stanford University and SRI Part III. The Challenges of 1970 Chapter 8. The Mansfield Amendment, “The Heilmeier Era”, and the Crisis in Research Funding Chapter 9. The AI Culture Wars: the War Inside AI and Academia Chapter 10. The AI Culture Wars: Popular Culture Part IV. Big Ideas and Hardware Improvements in the 1970s invert these and put the hardware chapter first Chapter 11. AI at MIT in the 1970s: The Semantic Fallout of NLR and Vision Chapter 12. Hardware, Software, and Applications in the 1970s Chapter 13. Big Ideas in the 1970s Chapter 14. Conclusion: the Status Quo in 1980 Chapter 15. Acknowledgements Bibliography Endnotes Forward to the Beta Edition This book continues the story initiated in Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing. Building the Second Mind, 1961-1980: From the Establishment of ARPA to the Advent of Commercial Expert Systems continues this story, through to the fortunate phase of the second decade of AI computing. -
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. -
Andproblemsolving Volume I- Executive Summary by Ewald Heer
NASA Conference Publication 2180 NASA-CP-2180-VOL- 1 Automated DecisionMaking andProblemSolving Volume I- Executive Summary By _ Ewald Heer i Proceedings of a conference held at NASA Langley Research Center • Hampton, Virginia May 19-21, 1980 NASA Conference Publication 2180 Automated Dec.isionMaking andProblemSolving Volume I- Executive Summary By Ewald Heer University of Southern California Los Angeles Proceedings of a conference held at NASA Langley Research Center Hampton, Virginia May 19-21, 1980 National Aeronautics and Space Administration ScientificandTechnical Information Branch 1981 PREFACE On May 19-21, 1980, NASA Langley Research Center hosted a Conference on Auto- mated Decision Making and Problem Solving. The purpose of the conference was to explore related topics in artificial intelligence, operations research, and control theory and, in particular, to assess existing techniques, determine trends of development, and identify potential for appl_cation in automation technology programs at NASA. The first two days consisted of formal presentations by experts in the three disciplines. The third day was a workshop in which the invited speakers and NASA personnel discussed current technology in automation and how NASA can and should interface with the academic community to advance this technology. The conference proceedings are published in two volumes. Volume I gives a readable and coherent overview of the subject area of automated decision making and problem solving. This required interpretation, synthesizing, and summarizing, and in some cases expansion of the material presented at the conference. Volume II contains the vugraphs with various annotations extracted from videotape records and also written papers submitted by several authors. In addition, a summary of the issues discussed on the third day has been published separately in NASA Technical Memorandum 81846.