EMERGENCE OF MODULARITY IN EVOLVED NEURAL NETWORKS

摘要

A novel method is described that allows us to study the emergence of the modular neural network structure through evolution. A preliminary design of modular neural networks is developed by evolutionary algorithm. The concept of emergence takes an important role in the study of the design of neural networks. The model presented in this paper might not only develop new functionality spontaneously but it could also grow and evolve its own structure autonomously. Network architecture emerges from an initial set of randomly connected networks.