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         Self Programming:     more books (102)
  1. 6502 Assembly Language Programming (Self-teaching Guides) by Judi N. Fernandez, etc., 1983-03-23
  2. Computer Programming for Real Beginners Simplified and Self-Taught by Philip Crookall, 1984-09
  3. Programming Expert Systems in Modula-2 (Self-teaching Guides) by Brian Sawyer, Dennis L. Foster, 1986-11-26
  4. Symbian OS Communications Programming (Symbian Press) by Iain Campbell, 2007-09-10
  5. Data File Programming in Basic (Self-Teaching Guide) by LeRoy Finkel, Jerald R. Brown, 1981-06
  6. neuro-linguistic programming: Self-esteem and Emotional Intelligence by Keith Gilbert, 2009-12-16
  7. Self (Programming Language)
  8. System 360 Programming: Self Instructional Manual by James A. Saxon, 1968-03
  9. Structured Programming: Self-Instruction Course by Reinhold Thurner, 1983-12
  10. Programming the 6800 microprocessor: A self-instructional workbook for assembly language and machine code programming of the 6800 family of microprocessors and peripherals by Bob Southern, 1977
  11. How to Build Your Own Self-Programming Robot, 1st, First Edition by david L. Heiserman, 1979-01-01
  12. El exito depende de ti!/ The Success depends of you!: Guia de autoprogramacion personal/ Guide for self-programming (Spanish Edition) by Victor Ramirez Mota, 2008-12-09
  13. Self-Adaptive Software: First International Workshop, IWSAS 2000 Oxford, UK, April 17-19, 2000 Revised Papers (Lecture Notes in Computer Science) (Volume 0)
  14. Neuro-Linguistic Programming (NLP) in Business and in Life by Strong, 2010-03-17

21. Language-based Operating Systems Work
Short, annotated, alphabetically sorted list and links, part of larger system.Category Computers Programming Languages Language-OS Hybrids...... Technologies. Merlin (University of Sao Paulo) An objectoriented, reflectiveoperating system based on the self programming language; Oberon
http://www.cs.arizona.edu/people/bridges/os/language.html
Language-based Operating Systems Work
  • Fox Carnegie Mellon University Group Members
    The objective of the Fox Project is to advance the art of programming-language design and implementation, and simultaneously to apply principles of programming languages to advance the art of systems building. The starting point for the work on language design and implementation is the Standard ML programming language.
  • Inferno
    Inferno(tm) is a new network operating system and programming environment to deliver content in a rich environment of heterogenous networks, clients and servers. The Inferno system includes the Inferno kernel, the Limbo(tm) programming language, reference APIs that include interfaces for networking and graphics, network protocols, security and authentication, and various toolkits. Inferno was developed by members of the Computing Sciences Research Center of Bell Laboratories, the research arm of Lucent Technologies.
  • Merlin University of Sao Paulo
    An object-oriented, reflective operating system based on the Self programming language
  • Oberon
    Oberon is a freely distributable OS written in the Oberon language in the Pascal-Modula tradition, developed by Niklaus Wirth and Juerg Gutknecht at the Institute for Computer Systems at the Swiss Federal Institute of Technology in Zurich (ETHZ). The most recent development of it is called Oberon System 3. It is available as Native Oberon for Intel-based machines which is self-contained and makes no use of any alien software layer. In addition, ports exist for all flavors of Windows: 3.1, 3.11, 95 and NT, as well as for Linux and for Macintosh.

22. Citation
and flexibility. The self programming system attempts to apply theseattributes to the world within the computer. The semantics
http://portal.acm.org/citation.cfm?id=217843&dl=ACM&coll=portal&CFID=11111111&CF

23. The Self-Programming Machine
the programming occupation will become extinct (through the further development of selfprogramming techniques) than
http://www.princeton.edu/~mike/ieeetalk.html
SOFTWARE: THE SELF-PROGRAMMING MACHINE Michael S. Mahoney
Princeton University (To appear in Creating Modern Computing , ed. A. Akera and F. Nebeker, Oxford U.P.) The Importance of Software In May 1973 Datamation Boehm's article belongs to the larger issue of the "software crisis" and the origins of software engineering, to which I shall return presently, but for the moment it also serves to make a historiographical point. Software development has remained a labor-intensive activity, an art rather than a science. Indeed, that is what computer people have found so troublesome and some have tried to remedy. Boehm's figures show that by 1970 some three-quarters of the productive energies of the computer industry were going into software. By then at the latest, the history of computing had become the history of software. Software, then, presents a huge territory awaiting historical exploration, with only a few guideposts by which to maintain one's bearings. One guiding principle in particular seems clear: if application software is about getting the computer to do something useful in the world, systems software is about getting the computer to do the applications programming. It is the latter theme that I shall mainly pursue here. Eventually, I shall come back to applications programming by way of software engineering, but only insofar as it touches on the main theme. Programming Computers Basically, programming is a simple, logical procedure, but as the problems to be solved grow, the labor of programming also increases, and the aid of the computer is enlisted to devise its own programs. (Werner Buchholz, 1953)

24. Papers About Self And OO Programming
Papers about self and OO programming. . self 4.1
http://www.sun.com/research/self/papers/papers.html
sun.com How To Buy My Sun Worldwide Sites ... Papers
Papers about Self and OO Programming Self 4.1 Self 4.0 Papers Tutorial
A Self Bibliography
Retrospective
Programming as an Experience: The Inspiration for Self
Randall B. Smith and David Ungar
Language
Self: The Power of Simplicity
David Ungar and Randall B. Smith
Parents are Shared Parts: Inheritance and Encapsulation in Self
Craig Chambers , David Ungar, Bay-Wei Chang, and
Organizing Programs Without Classes
David Ungar, Craig Chambers , Bay-Wei Chang, and
Implementation
Object Storage and Inheritance for Self
Elgin Lee
Customization: Optimizing Compiler Technology for Self, a Dynamically-Typed Object-Oriented Programming Language
Craig Chambers and David Ungar
An Efficient Implementation of Self, a Dynamically-Typed Object-Oriented Language Based on Prototypes
Craig Chambers , David Ungar, and Elgin Lee
Iterative Type Analysis and Extended Message Splitting: Optimizing Dynamically-Typed Object-Oriented Programs
Craig Chambers and David Ungar
Making Pure Object-Oriented Languages Practical
Craig Chambers and David Ungar
Optimizing Dynamically-Typed Object-Oriented Programming Languages with Polymorphic Inline Caches
Craig Chambers , and David Ungar
The Design and Implementation of the Self Compiler, an Optimizing Compiler for Object-Oriented Programming Languages

25. Atmel Corporation
family of five AVR microcontrollers with a revolutionary selfprogramming Flash memory. is designed to support applications requiring remote programming or field upgrade capability.
http://www.atmel.com/atmel/news/20010710.htm
Corporate Fact Sheet Corporate Overview Literature Request Contacts
Atmel Corporation, founded in 1984, is a worldwide leader in the design, manufacturing and marketing of advanced semiconductors, including advanced logic, nonvolatile memory, mixed signal and RF integrated circuits.
Atmel is one of the elite new companies capable of integrating dense nonvolatile memory, logic and analog functions on a single chip. Atmel chips are manufactured using the most advanced wafer processes, including BiCMOS, CMOS and Silicon Germanium (SiGe) technologies.
Product News April 09, 2003
Atmel Corporation Joins the Trusted Computing Group
April 02, 2003
Atmel Targets Miniature Remote Control Units with Introduction of New RF Remote Control Transmitter Family
More News Investor Relations Media Support ...
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I General Information I What's Changed I Contacts I Quality Atmel Corporation ©2003

26. Self-Programming Of Matter And The Evolution Of Proto-Biological Organizations
Title selfprogramming of Matter and the Evolution of Proto-Biological Organizations.Author(s) Steen Rasmussen, Rasmus Feldberg, and Carsten Knudsen.
http://www.santafe.edu/sfi/publications/wpabstract/199207035
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SFI Working Paper Abstract
Title: Self-Programming of Matter and the Evolution of Proto-Biological Organizations Author(s): Steen Rasmussen, Rasmus Feldberg, and Carsten Knudsen Files: [No electronic files available.] Paper #: Abstract: Keywords: self-programming system, constructive system, prebiotic system, proto-biological system, complex cooperative structure Return to the 1992 working papers list. SFI Home Page Business Network Education Employment ... Find Us

27. Self-Improvement
A selfimproving automatic programming system modifies parts of itself to become better at automatic programming.
http://www-ia.hiof.no/~rolando/SIG
Self-Improvement
A self-improving automatic programming system modifies parts of itself to become better at automatic programming. In other words, the system produces an improved system which produces another even more improved system which produces yet another improved system... A most intriguing question is how many such loops of self-improvement that can be accomplished with limited computational resources, for example a few weeks of CPU time on our 16-node Beowulf cluster. We have so far only achieved one iteration of self-improvement, which can be reproduced using the ADATE source code and a specification file for reshaping mutation distributions. Given a fitness function, an automatic programming system tries to synthesize program code that maximizes the fitness. In a primitive GP system, new code is generated using crossover and mutation operators. The code of these operators that is, their implementations, are shown as red and green blocks in the figure below.
A GP system, which is quite different from ADATE, could in principle improve itself over and over again as shown in the following figure. Even if no GP system can accomplish this self-improvement, ADATE may succeed using the same principle. The topmost part of the figure shows a GP system that is fed a fitness function that evaluates the quality of crossover code, for example by computing the fitnesses of children generated from a few thousand parents selected from GP runs on about a dozen standard GP examples. Thus, the output of this GP system is code for crossover operators, typically thousands of different variants of such operators.

28. Atmel Corporation
ATmega128, 128Kbyte self-programming Flash Program Memory, 4-Kbyte SRAM, 4-KbyteEEPROM, 8 Channel 10-bit A/D-converter. JTAG interface for on-chip-debug.
http://www.atmel.com/dyn/products/devices.asp?family_id=607

29. My Neuro-linguistic Self-programming
My Neurolinguistic self-programming. I'm careful about what I sayto myself and others, because I believe that one's attitudes are
http://www.maryromantic.com/neurolinguistics.htm
My Neuro-linguistic Self-programming
I'm careful about what I say to myself and others, because I believe that one's attitudes are important to one's happiness. This article covers some of my self-talk and speech practices. Gentle Woman
Seeks Mate Mary's Home Page www.maryromantic.com
More About Mary: Articles

Hear a Voice Message from Mary

How to E-mail Mary If You Want a Reply

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I've long understood that my happiness depends mostly on how I think and, thereby, feel about myself and that there's a direct relationship between how much I love and accept myself and how much I love and accept others. I'm diligent about using only words that manifest compassion in me and that can foster compassion in me and in others. I'm not trying to be politically correct or fit popular psychology. I'm trying to live with as much integrity as I can. My choices regarding my terminology are subjective, and they work for me. They help me keep the attitudes that I want to have. I know where and why I draw the line. I know what my exceptions are and why I allow myself them. I'm as careful about what I think to myself as I am about my speech. Being agnostic, I don't think or talk in absolute terms; I tend to qualify things in relative terms. Shooting for honesty, I also try hard not to exaggerate or overgeneralize. Against some rules of writing, for example, I often use words like

30. An Experiment With A Self-Programming System
001. An Experiment with a selfprogramming System. ISHIDA TAKAYA ?1, YASUI HIROSHI ?1 , SUGIYAMA HIROSHI ?1 , JOH KENZO ?1.
http://www.ipsj.or.jp/members/Magazine/Eng/0803/article001.html
Last Upate¡§Thu Mar 22 15:39:00 2001 IPSJ MAGAZINE Abstract Vol.08 No.03 - 001
An Experiment with a Self-Programming System
ISHIDA TAKAYA YASUI HIROSHI SUGIYAMA HIROSHI JOH KENZO
Faculty of Engineering,University of Osaka
¢¬Vol.08 No.03 Index
Comments are welcome. Mail to address editj@ips j.or.jp , please.

31. Flash Facilitates MCU Self-programming - GD Technik
Atmel's new family of AVR microcontrollers features a revolutionaryselfprogramming Flash memory.
http://www.electronicstalk.com/news/gdt/gdt113.html
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received on 12 June 2002
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Flash facilitates MCU self-programming
Atmel's new family of AVR microcontrollers features a revolutionary self-programming Flash memory.
Atmel's new family of AVR microcontrollers features a revolutionary self-programming Flash memory.
Now available from design-in distributor GD Technik, the new micros are designed to support applications requiring remote programming or field-upgrade capability such as vending machines, telephone routers and mobile communicators.
With the megaAVR the service costs for these applications will be significantly reduced because the Flash memory can be changed remotely.
This new capability can be implemented with a single device, without the need of additional devices, which reduces both board space and cost.
The first available members of the megaAVR family are highly integrated devices and have: from 8 to 128Kbyte of Flash program memory, EEPROM, a programmable UART, hardware multiplier, programmable brownout detector and 10bit A/D convertor.
They are housed in the industry standard 32-, 44- or 64-pin TQFPs or 28- and 40-pin PDIPs.

32. Total Recovery/Self-Programming
Publication Date 2/99. Catalog Number 222. Chapter 6 selfprogramming. Try?There is no try. There is only do or not do. Yoda, The Empire Strikes Back.
http://www.doitnow.org/pages/222/222-6.html
Title: Total Recovery: A Guide to Balancing Body and Mind, Heart and Soul in Chemical Dependency Recovery Author: Jim Parker Publisher: Do It Now Foundation Publication Date: Catalog Number:
Chapter 6: Self-Programming
Try? There is no try. There is only do or not do. Yoda, The Empire Strikes Back All the changes we've talked about thus far have been aimed in the same direction: expanding our ability to be responsible for ourselves and our thoughts, feelings, and actions. Still, there's a further place that we can get to. Because while it's fine to accept ourselves exactly the way we are, it's even better to take responsibility for making ourselves exactly the way we want to be. So how do we change? How do we override the programs that have gotten us stuck and led us down the path of chemical abuse and dependency? This issue is one that has intrigued human beings as long as we've been human beings, and something that's likely to hold our attention a good while longer. And in generating this layer of awareness, we literally create possibility out of impossibility, which is the first step in transforming our lives. The next step is to act.

33. CODICO - Impulse: SELF-PROGRAMMING AVR PROCESSORS!
CODICO impulse 04/2000. selfprogramming AVR PROCESSORS! ATMEL's AVRprocessors are now available with self-programming! And they
http://www.codico.com/en/impulse042000/impulse-A01.asp
CODICO impulse 04/2000
SELF-PROGRAMMING AVR PROCESSORS!

ATMEL's AVR processors are now available with self-programming! And they include other new features to make them more attractive than ever.
The new ATmega163 consists of ATMEL's proven AVR core, 16-K Bytes In-system Programmable FLASH memory, 512 Bytes EEPROM, 1024 Bytes internal SRAM, an 8-channel, 10-Bit ADC and, all new, an on-chip multiplier.
For all of ATMEL's currently available AVR processors that make use of the In-system programming interface, FLASH and/or EEPROM memory is programmed externally via an SPI-protocol serial interface. This is also true of the new ATmega163, but the new chip additionally offers a self-programming option, which means that it is capable of making changes to the on-chip FLASH programming code without the use of an external programmer. For this reason, the chip's program instruction memory is subdivided into a boot sector and several application sectors. During assembly, the boot program is stored in the boot sector from where it programs the other sectors. These routines are established by the user, and they determine what data source the processor draws upon to program each individual application sector. At the same time, it is also possible to make programming changes to the boot sector itself.
The production of these new chips will be based on an all-new technology, and is scheduled to commence in the first half of 2001.

34. CODICO - Impulse: SELF-PROGRAMMING AVR PROZESSOREN!
Translate this page self-programming AVR PROZESSOREN! ATMEL AVR Prozessoren bieten ab jetzt auch selfprogramming! Die AVR Prozessoren werden durch neue Features noch attraktiver.
http://www.codico.com/de/impulse042000/impulse-A01.asp
CODICO impulse 04/2000
SELF-PROGRAMMING AVR PROZESSOREN!

ATMEL AVR Prozessoren bieten ab jetzt auch Self Programming! Die AVR Prozessoren werden durch neue Features noch attraktiver.
Der neue ATmega163 besteht aus dem bereits bekannten AVR Kern, einem 16 K Byte FLASH Programmspeicher, 512 Byte EEprom, 1024 Byte Sram, einem 8 Kanal 10 Bit ADC und neu auch einem On Chip Multiplier.
Johannes Kornfehl
, DW 49
office@codico.com

35. Incipient Posthuman: Self-programming
You will be selfprogramming, able to define your own identity. Ido not see myself as a slave to the blind whims of evolution.
http://www.incipientposthuman.com/self-programming.htm
Not only are selves conditional but they die. Each day we wake slightly altered and the person we were yesterday is dead. John Updike, Author Nearly all of us begin each day believing we are the same person who began the day before. But are we really? Or could it be true, as Updike suggests, that our daily experiences, no matter how banal, change us into someone new? Is the apparent reality of continuous personal existence merely an illusion? Is the person you were yesterday truly dead? This morning I saw something I had never seen before. (It doesn't matter what. We see new things every single day.) I learned several new things today. I spoke with a person this afternoon whom I had not previously known. Clearly I have changed, even if only slightly. I am someone different than I was the day before. So how is it that I can still believe I am me? Why am I not confused and disoriented by these changes? Questions such as these become relevant when we think about taking manifest control of our identities As a posthuman , you will be in thorough control of your personal definition, including your physical shape size appearance and location . You will be able to predefine your environment experiences , and sensations , insofar as desired. You will be self-programming, able to define your own

36. Abstracts: "Self-Programming"
Resource Database Geography, Earth and Environmental Sciences. Resultof Keywords Search. selfprogramming , Computer-aided assessment.
http://www.chelt.ac.uk/gdn/keywords/selfprog.htm
Resource Database: Geography, Earth and Environmental Sciences
Result of Keywords Search
"Self-Programming" Computer-aided assessment Search abstracts by keywords
Search abstracts by originator
Resource Database Home Page
Page last updated 3 February 1997
Database pages maintained by Phil Gravestock

37. ROBOT1
A selfprogramming Autonomous Robot. by Terry Newton, November 1996.This is an ongoing project to explore simple learning algorithms
http://www.tl.infi.net/~wtnewton/otherwld/robot1.html
A Self-Programming Autonomous Robot
by Terry Newton, November 1996
This is an ongoing project to explore simple learning algorithms by incorporating them into a small toy "Spider" robot. Although not specifically programmed to do anything, it learns through experience to make moves and seek conditions that satisfy pre-programmed conditions. In other words, I don't tell it HOW to avoid obstacles in its path, all I tell it is that objects in its path are not desirable. It has to discover the proper solutions through trial and error then remember the correct responses.
The Three Classes of Machine Intelligence
Many of the ideas I'm using here come from a 1979 book entitled "How to Build Your Own Self-Programming Robot" by David L. Heiserman (TAB books number 1241). He describes three levels of machine intelligence. Taken from the book, these are:
    "An Alpha-Class robot is one whose responses are limited to basic reflex activity. One can include any number of sensory systems to sense light, sound, touch, and so on, but the responses are purely reflexive, and for the most part, random in nature." "A Beta-Class robot is slightly more intelligent than any Alpha-Class version. Beta robots have the same primitive reflex mechanisms, but they are also able to remember reflex responses that work best under a given set of circumstances. So whenever a Beta-Class robot manages to extricate itself via a set of random responses from an undesirable environmental condition, it remembers the one response that worked and then uses it immediately whenever the same situation arises again. The responses are purely reflexive and random the first time around, but they become more rational as the machine gains experience with the world around it."

38. U-M ACERS Course Credit
Project Summary This project involves looking at selfprogramming systems overa variety of problems, ranging from theory, to computer vision, to default
http://www.sprl.umich.edu/research_project_sites/acers/credit.html
Independent-
Study Courses
Concerning
Artificial
Intelligence The following courses are offered in conjunction with the Artificial Intelligence Laboratory and the Space Physics Research Laboratory.
Faculty supervisor: Jason M. Daida I offer several independent-study projects jointly through the Artificial Intelligence Laboratory and the Space Physics Research Laboratory. Students may register for these projects through a variety of independent-study courses, including: E195, U280, 499, and 701. Difficulty of any particular project is scaled to level of course. Registration in any of these courses requires my prior approval. If you have any questions concerning any of these projects, please do not hesitate to contact me by email or by phone 734/647-4581.
  • Topics in Self-Programming Systems
  • Topics in Evolutionary Computation
  • Topics in Complex Adaptive Systems Click here for information on independent-study courses concerning geographic information systems. Click here for information Topics in
    Self-
    Programming
    Systems Project Summary: This project involves looking at self-programming systems over a variety of problems, ranging from theory, to computer vision, to default hierarchies in robotics control, to multi-agent control and coordinate in music composition. This research involves genetic programming.
  • 39. ELECTRONIC DESIGN -February 9, 1998 - Analog Outlook
    Return to February 9, 1998 table of contents. ANALOG OUTLOOK PRODUCT INNOVATION.selfprogramming Microcontroller Networks Sensors And Transducers.
    http://www.elecdesign.com/1998/feb0998/analog/0209ao2.shtml
    Return to February 9, 1998 table of contents ANALOG OUTLOOK
    PRODUCT INNOVATION
    Self-Programming Microcontroller Networks Sensors And Transducers
    Single Chip Performs Signal Conditioning, Data Conversion, And Control Functions For Data-Acquisition Systems.
    Milt Leonard D esigning networked control systems with various types of sensors and transducers in space- and cost-constrained industrial control applications involves dealing with complex relationships between interface circuits, signal-conditioning and conversion circuits. In addition, one also must consider the problems associated with calibration, linearization, and communications. Equally challenging is the use of nonvolatile memory as a transducer electronic data sheet (TEDS). These issues are addressed by the IEEE 1451.2 standard that defines a standard interface and communication protocol for transducers and sensors in measurement and control systems. Existing microcontrollers fall short of fully implementing the standard in silicon, either because of limited functionality or prohibitive cost. For example, the standard transducer interface module (STIM) portion of the standard specifies the sensor interface electronics, signal conditioning, data conversion, calibration, linearization, basic communication capability, and a nonvolatile 565-byte TEDS. Some microcontrollers with integrated 8- or 10-bit analog-to-digital converters (ADCs) or comparator-based slope conversion can implement most of the STIM functionality, but are limited in conversion speed and accuracy. Moreover, few available controllers have economically integrated analog conversion together with high-density EEPROM because of the additional process complexity requirements of both functions.

    40. Journal Of Genetic Programming And Evolvable Machines
    Devoted to reporting innovative and significant progress in automatic evolution of software and hardware.Category Computers Artificial Intelligence Genetic programming...... routing; Optimization; Process control; Robotics and motor control; selfrepair;self-reproduction of software and hardware; self-programming; System modeling.
    http://ls11-www.cs.uni-dortmund.de/people/banzhaf/cfp.html
    Journal of Genetic Programming and Evolvable Machines
    Wolfgang Banzhaf
    Dortmund University, Germany
    Editor-in-Chief The journal of Genetic Programming and Evolvable Machines is devoted to reporting innovative and significant progress in automatic evolution of software and hardware. Methods for artificial evolution of active components, such as programs or machines are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution and produce as result computational expressions such as algorithms or machines such as mechanical or electronic devices that actively process environmental information and transform their environment. In addition to its main topics, the journal covers related topics such as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.
    Methods:
    Genetic Programming; Variable-size evolutionary algorithms; Induction of algorithms and symbolic expressions by iterative and non-deterministic search; Evolutionary design and Optimization of electronic circuits and mechanical devices; On-line adaptation of hardware and software; Evolutionary robotics; DNA computing; Coevolutionary techniques; meta-learning; Hybrid systems; Cellular and Developmental approaches.

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