Research On Artificial Endocrine Mechanisms And Its Apllications

The endocrine system is a distributed and adaptive complex system, which has the properties of regulating mechanism to neural system, emotion reacting mechanism, self-organization, distributed processing and so on. The endocrine system's properties keep living organism's life activities and adapt to changes in dynamic environments, both internal and external. Extracting these mechanisms of endocrine system and establishing artificial endocrine model is a newly important research subject of artificial intelligence, which is significant to develop new-style intelligent information processing technology, facilitate the development of artificial intelligence and deal with complex problems.With the study of Biological Endocrinology, people start to understand hormone's production, transport and regulation from the molecular and cellular level, which provide a more solid physiological basis for the research of artificial endocrine system. Because of the capability of self-organization, endocrine system can be applied to solve many complex problems, especially for those that need to make decisions in the changing environment. This dissertation includes some research in the models of artificial endocrine system and its application from different aspects. The main works can be summarized as follows:(1) Mechanism mining of biological endocrine system. Summarizing the functional characteristics and mechanisms of endocrine system, is significant to exploit new-style intelligent information processing technology and advance development of artificial intelligence. From the information processing point of view, this dissertation summarized the characteristics of regulatory mechanisms in detail. All these provide theoretical basis in research of the models of the artificial endocrine system and its applications.(2) A self-organized algorithm and its application researching based on hormone. Through the reaction-diffusion mechanism of hormones, the endocrine system of organism is maintained homeostasis, and the living organism's life is kept activities. Inspired by the hormones'reaction-diffusion mechanism, a self-organized algorithm based on hormone is proposed. In this algorithm, through the regulation of the hormones, the robots could adjust their behavior in time and improve the ability of self-organization. A simulation of task allocation in the multi-robot system is performed to verify the validity of the algorithm. Experimental results demonstrate that with the regulatory mechanism, the task can be accomplished effectively, and the topology and routing of the robots are optimized.(3) Genetic algorithm and its application researching based on endocrine system. The genetic algorithm considering endocrine cells as chromosome is proposed in this dissertation. In this algorithm, intelligent agents are viewed as endocrine cells, which can secrete and diffuse hormones. By the regulation of hormones, agents could adjust their behaviors in time to achieve optimization of system performance. In order to prove the validity of this algorithm, a simulation of task allocation is performed, and the experimental results show that the proposed algorithm has superior performance to solve problems.In conclusion, the endocrine system of organism contains special information processing mechanisms, learning from characteristics of the endocrine system, and establishing intelligent models and algorithms have important theoretical significance and wide application foreground. The dissertation investigates some trial research on information processing mechanisms of the endocrine system, and explores their applications in intelligent controls problems. How to create a perfect artificial endocrine model and explore wider areas of application is the focus of our future work.