Modeling of the Cloud Interconnected Human Friendly Multi-Agent Based Sustainable Power Controller

The paper presents model of the cloud interconnected multi-agent human friendly sustainable power controller (Controller). The Controller is based on the human ambient comfort affect reward index (ACAR index). The ACAR index depends on human physiological parameters: the temperature, the ECG- electrocardiogram and the EDA-electro-dermal activity. These physiological parameters are used for sustainable power control by multi-agent system developed as the cloud interconnected, instrumented, and intelligent environment. The Environment Sense Agent, the Environment Adaptation Agent, the Raw Data Processing and EDA Parameters Extraction Agent, and the Neural Network Training Agent are proposed and implemented into the multi-agent based emotion recognition and environment control system. The modeling results show that proposed system can find such the environmental state characteristics that may improve comfort for people affected by this environment

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