Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments

Multi-agent System (MAS) Applications in Ambient Intelligence (AmI) Environments

Research in context-aware systems has been moving towards reusable and adaptable architectures for managing more advanced human-computer interfaces. Ambient. Intelligence (AmI) investigates computer-based services, which are ubiquitous and based on a variety of objects and devices. Their intelligent and intuitive interfaces act as mediators through which people can interact with the ambient env...

Human-Based Models for Ambient Intelligence Environments

Ambient intelligence gathers best results from three key technologies, ubiquitous computing, ubiquitous communication, and intelligent user friendly interfaces. The functional and spatial distribution of tasks is a natural thrust to employ multi-agent paradigm to design and implement AmI environments. Two critical issues, common in most of applications, are (1) how to detect in a general and ef...

Personalized Use Models in Ambient Intelligence Environments

The impact of user interface quality has grown in software systems engineering, and will grow further with upcoming new paradigms such as Ambient Intelligence (AmI) or Ubiquitous Computing, which confront the production industry with a huge diversity of new usage situations. User in such situations cannot cope with the vast amount of information. Therefore, new models with respect to users’ nee...

AGENTS AND AMBIENT INTELLIGENCE Ambient Intelligence and Smart Environments

Ambient Intelligence Environments

The trend in the direction of hardware cost reduction and miniaturization allows including computing devices in several objects and environments (embedded systems). Ambient Intelligence (AmI) deals with a new world where computing devices are spread everywhere (ubiquity), allowing the human being to interact in physical world environments in an intelligent and unobtrusive way. These environment...