Abstract
Ambient
Intelligence aims to enhance the way people interact with their environment to
promote safety and to enrich their lives. A Smart Home is one such system but
the idea extends to hospitals, public transport, factories and other
environments. The achievement of Ambient Intelligence largely depends on the
technology deployed (sensors and devices interconnected through networks) as
well as on the intelligence of the software used for decision-making. The aims
of this article are to describe the characteristics of systems with Ambient
Intelligence, to provide examples of their applications and to highlight the
challenges that lie ahead, especially for the Software Engineering and
Knowledge Engineering communities. In particular we address system
specification and verification for the former and knowledge acquisition from
the vast amount of data collected for the latter.
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