Self-Organizing Systems, 1963

audiobook

Self-Organizing Systems, 1963

EN·~2 hours·11 chapters

Chapters

11 total
1

SELF-ORGANIZING SYSTEMS1963

0:58
2

FOREWORD

3:12
3

The Ionic Hypothesis and Neuron Models

34:19
4

Fields and Waves in ExcitableCellular Structures

33:56
5

Multi-Layer Learning Networks

20:05
6

Adaptive Detection of Unknown Binary Waveforms

8:35
7

Conceptual Design of Self-Organizing Machines

20:16
8

A Topological Foundation for Self-Organization

10:37
9

On Functional Neuron Modeling

11:32
10

Selection of Parameters for Neural Net Simulations

2:13

Description

This collection captures a moment when researchers first gathered to explore how systems could organize themselves without external direction. Held at Caltech in November 1963, the symposium brought together engineers, physicists, and biologists to discuss ideas that were then on the fringe of mainstream science. The papers present the early theories and experimental work that laid the groundwork for today’s autonomous and adaptive technologies.

Readers will encounter a variety of approaches, from electronic analogues of Hodgkin‑Huxley neuron models and studies of waves in excitable cellular structures to multi‑layer learning networks and strategies for detecting unknown binary waveforms. There are also forward‑looking designs for self‑organizing machines and a topological framework that seeks to formalize the phenomenon itself. Though rooted in the scientific language of the 1960s, the discussions reveal a spirit of curiosity and experimentation that still resonates with modern listeners.

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Details

Language

en

Duration

~2 hours (141K characters)

Publisher of text edition

Project Gutenberg

Credits

Mark C. Orton and the Online Distributed Proofreading Team at https://www.pgdp.net

Release date

2021-09-13

Rights

Public domain in the USA.

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