This article reviews the state-of-the-art developments in Multi-Agent Systems (MASs) and
their application to energy optimization problems. This methodology and related tools have …

Given restrictions that comfort conditions in the interior of a building are satisfied, it becomes
obvious that the problem of energy conservation is a multidimensional one. Scientists from a …

The pressing global environmental issues are fostering a rapid change in the energy and
sustainability policies for the built environment. New paradigms are emerging, such as …

The first generation of Digital Natives (DNs) is now growing up. However, these digital
natives were rather late starters, since their exposure to computers started when they could …

The objective of this paper is to review the topics related to the optimized operation of
intelligent buildings with respect to occupant comfort and energy consumption. To …

In recent years, the notion of intelligent buildings (IBs) has become increasingly popular due
to their potentials for deploying design initiatives and emerging technologies towards …

Nowadays, buildings are increasingly expected to meet higher and more complex
performance requirements. Among these requirements, energy efficiency is recognized as …

The Essex intelligent dormitory, iDorm, uses embedded agents to create an ambient-
intelligence environment. In a five-and-a-half-day experiment, a user occupied the iDorm …

We describe a novel life-long learning approach for intelligent agents that are embedded in
intelligent environments. The agents aim to realize the vision of ambient intelligence in …

Artificial intelligence (AI) is poised to make a veritable impact in medicine. Clinical decision
support (CDS) is an important area where AI can augment the clinician's capability to collect …