|Autors: Tsokov, S. A., AleksievaPetrova, A. A., Lazarova, M. K.|
Title: An Activity-Dependent Model for the Evolution of an Artificial Nervous System for Autonomous Agents
Keywords: activity-dependent development, autonomous agents, artificial nervous system, evolutionary robotics, neural networks
Abstract: One of the main problems that evolutionary robotics faces is the difficulty in obtaining complex phenotypes. This paper proposes a model for the evolution of autonomous agent control systems that attempts to solve this problem. The model is inspired by biology, where the environment plays a particularly important role in the development of the nervous system, as well as by the observation that organisms gradually become more complex in the course of the evolutionary process.
Вид: публикация в национален форум с межд. уч., публикация в реферирано издание