Dynamical cognitive services for Ambient Intelligence environments

Ambient Intelligence systems are more than a simple integration among computer technologies, indeed, their design can strongly depend upon psychology and social sciences aspects describing, analyzing and forecasting the human being status during the system´s decision making. Consequently, if from a technological view an AmI system can be considered as a simple framework for distributing personalized services, from a computational point of view, an AmI system is a distributed cognitive framework composed by a collection of intelligent entities capable of modifying their behaviours by taking into account the user´s cognitive status in a given time. This paper introduces a novel methodology of AmI systems´ design that exploits a service-oriented paradigm and a novel extension of Fuzzy Cognitive Maps theory benefiting on the theory of Timed Automata in order to create a collection of dynamical intelligent agents that use cognitive computing to define advanced services able to maximize environmental parameters as, for instance, user´s comfort or energy saving. As will be shown in experimental results, the proposed approach maximize the system´s usability in terms of efficiency, accuracy, recall and emotional response.