Der selbstlernende und programmier-freie Assoziationscomputer

A comprehensive analysis written in GERMAN LANGUAGE

The self-learning and No-programming Associating Computer

A simulation model of the human brain

Authors: Klaus Holtz, Erwin Langheld

Published /in: Elektronik 14 and15, German magazine for applied electronic and data processing technologies, December 21, 1978.

Level: Expert Magazine Reader

Abstract translated from German language: With the emerging of the microprocessors, the problems and insufficiencies of the software are becoming more and more apparent and new ways for programming are being explored. Can the human brain provide a model? If one regards thinking as a chain of “associations” or connections, then one may wonder if a computer could be built to work like that. Our author Klaus Holtz in the USA agrees according to ideas and discoveries, which allowed him to conceive a very simple system design, which does not require programming. This involves the growth of self-assembling and self-connecting data networks. Our experienced author and engineer Erwin Langheld, associated with Elektronik Magazine, has now edited and expanded the ideas to make them assessable to our readers to find a larger audience for non-professionals. This will provide our readers with ideas and fascinating perspectives to get a preview of a possible, not necessary utopian, revolutionary development of future computer technology.  

All text is written in German language. The pages may be downloaded separately because of the large file sizes for each page. The file format is Adobe pdf color.

Publication Top Page – Elektronik Magazine

Page 39 -- Top page, Introduction

Page 40 -- Learning concepts

 Page 41 – Learning networks

Page 42 – Omni Dimensional Networks

Page 43 – Author information

Page 44 – Serial networks

Page 45 – Serial network algorithms

Page 46 – Pattern association

Page 53 – Retrieval algorithms

Page 54 – Data retrieval

Page 55 – Parallel networks

Page 56 – Parallel progression

Page 57 – Brain theory

Page 58 – System Hardware

Page 59 – Applications – Data Compression

Page 60 – Analysis

Page 61 – Summary

Page 62 – Future perspectives

Page 65 – References