Agents and ambient intelligence: case studies

The significance that ambient intelligence (AmI) has acquired in recent years requires the development of innovative solutions. In this sense, the development of AmI-based systems requires the creation of increasingly complex and flexible applications. One of the most important aspects in AmI is the use of context-aware technologies in order to perceive stimuli from both the users and the environment. Thus, the information obtained must be managed by intelligent and self-adaptable technologies in order to provide an adequate interaction between the users and their environment. Agents and multi-agent systems are one of these technologies. The agents have characteristics such as autonomy, reasoning, reactivity, social abilities and pro-activity which make them appropriate for developing dynamic and distributed systems based on AmI, as they possess the capability of adapting themselves to the users and environmental characteristics. This paper presents several case studies where agents and context-aware technologies have been implemented to build AmI-based systems. These case studies expand the possibilities of AmI and get closer to its vision.

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