A subjective adaptive approach for comfort in indoor environments based on multi-agent systems

Thermal comfort conditions in the built environment are strictly related not only to the thermal and geometric building features and to air-conditioning systems, but also to the building using profile and to the biological-metabolic-psychologicaI characteristics of the users. Consequently it is useful to formalize new models, both subjective and adaptive to the environmental scenery, in a particular holistic vision of the problem, strongly addressed towards the personalization of the service. Through the paper the characterization of a model, enriching that proposed by Fanger with an adaptive approach, is carried out using a Multi Agent System (AIMS), an Intelligent Agent able to follow user in his own needs and preferences and to adapt to the changes of context variables.