Artificial Brains An Evolved Neural Net Module Approach Hugo De Garis
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Computational Intelligence: A Compendium
Author: John Fulcher
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-06-16
Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.
Artificial Brains
Author: Hugo De Garis
language: en
Publisher: World Scientific Publishing Company
Release Date: 2011-07
This book explains how the author is building China's first artificial brain, using an evolved neural net module approach. These modules are evolved in special hardware very fast, each with its own little job. They are downloaded one by one into the memory of a supercomputer, and connected up according to the designs of human "BAs" (Brain Architects) to build artificial brains, which then control the hundreds of robots behaviors. These artificial brains contain thousands of pattern recognition circuits. This approach is expected to produce artificial brains with several 10,000s of evolved neural net modules. The robots will also be given language abilties for conversing with humans. Artificial brains could possibly be the missing piece of the puzzle that will make home robots more genuinely intelligent and useful. It is hence likely that by 2030, artificial brains will be one of the biggest industries in the world.