by Hugo de Garis (Xiamen University, China)

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.

• The Principles of Neural Networks
• The Principles of Genetic Algorithms
• Evolving Neural Network Modules
• Accelerator Boards and Their Programming
• A Library of Single Neural Network Modules
• Combining Neural Network Modules
• The Robot
• The Robot's Behaviors
• The Robots's Brain
• Other Artificial Brain Projects
• Future Artificial Brains
• “National Brain” Projects