Synergetic computers and cognition. A top-down approach to neural nets
type: Item
instance of: scholarly article
title: Synergetic computers and cognition. A top-down approach to neural nets
zbMATH Open document ID: 0733.68067
published in: Springer Series in Synergetics
publication date: 1993-01-23T00:00:00Z
review text: This book provides the reader with a novel approach to the design and study of neural nets. It presents a new computer concept, the concept of synergetic computers, with a number of explicit examples of its applications. New detailed models of the cognitive abilities of humans are given and compared with the performance of the synergetic computer. It is shown that the cognitive processes can be conceived as spontaneous pattern formation. This book is intended for graduate students, teachers and researchers in the computer science, cognitive sciences and physics.
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 91E10
Mathematics Subject Classification ID: 68-01
Mathematics Subject Classification ID: 92-01
Mathematics Subject Classification ID: 82C32
zbMATH DE Number: 50157
zbMATH Keywords: synergetic computers
zbMATH Keywords: cognition
zbMATH Keywords: neural nets
author: H. Haken
reviewed by: Ivan Křivý
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 50157