This paper proposes a framework that a genetic algorithm is applied to determine and construct an organ, especially a neural network of a creature. The vision system of a creature is a result of genetic evolution. Thus, we are trying to realize it on the computer.
By using the method, we search how the visual organ of creature is evolved under a special environment, and how many variations of neural networks exist. Besides, we think it is possible to generalize the method to an automatic generation of various kinds of visually recognizing system by giving the various kinds of evolution directions. Here, we assume that the visual organ of a target creature is composed of a neural network with arbitrary structure and connection weights, and that the target creature will be eaten by the snake if it misrecognizes, and it will multiply if it correctly recognizes the food when it meets it. In these environments, we are trying to examine how the vision system of the creature is evolved by using the genetic algorithm. Furthermore, we examined how noises effected to the evolution of the vision system.
J-STAGEがリニューアルされました! https://www.jstage.jst.go.jp/browse/-char/ja/
