A Self-Organizing System for Online Maintenance of a Living Organism

Abstract

Intelligent environments have the ability to assist people in their everyday life, with the aim of improving their wellbeing. One aspect of a humans’ wellbeing is their health. The ability to monitor, understand, and correct bodily processes in real time and in convenient way can help people to improve their state of health, foresee and prevent diseases, will promote wellbeing and a longer life. To achieve these goals, this paper proposes a conceptual model of a self-organizing system which allows for online tracking and tuning of bodily processes. The system includes a Biofeedback Module, a Biological Module, an Adjusting Module, and a Recommender Module. This research exploits an interdisciplinary approach. The Biofeedback Module deploys innovations in bio-sensing technology and uses concepts from biological and mathematical sciences; it is responsible for biological signal processing and is designed to form a Multi-Agent System (MAS). The Adjusting Module is inspired by findings in sport, nutrition, pharmacy, meditation, and other health related areas. Its computational model is implemented using Agent Technology and Game Theory. The Recommender Module provides interaction with a user, presenting computational results in a readable format. All elements can be integrated into a small handy device. The proposed system has a wide range of applications, including biology, health care, sport, entertainment, robotics, and military.