[1]XU Xiong.Implementation of an evolutionary control system based on artificial emotion[J].CAAI Transactions on Intelligent Systems,2008,3(2):135-139.
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Implementation of an evolutionary control system based  on artificial emotion

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 2 Page number: 135-139 Column: 学术论文—智能系统 Public date: 2008-04-25
Title:
Implementation of an evolutionary control system based  on artificial emotion
Author(s):
XU Xiong
Hubei Normal University, Huangshi 435002, China
Keywords:
neural network; genetic algorithm;  artificial emotion;  decisionmaking;  robot
CLC:
TP18
DOI:
-
Abstract:
Artificial emotion is essential to robotics study. Typical implementation of artificial emotion is briefly summarized in this paper. In order to better implement emotionlearning control mechanisms, a new control architecture based on artificial emotion is proposed. It incorporates an evolutioncontrol system based on a Genetic Algorithm with a neural and an artificial emotion control system. The neural system receives environmental information and makes decisions. The results of decisionmaking are fed back to the emotionlearning model. The emotionlearning model produces emotional factors (hormones) based on inner and outer conditions of the robot, and these factors is used to regulate the neural system. In the final step, the memorization and behavior module of the neural system is exported to the genetic environment. This control architecture enhances learning and adaptive capacities of robots in a dynamic environment. Simulation was made to confirm the validity of the control architecture.
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