4 research outputs found
Proceedings of the 2012 Workshop on Ambient Intelligence Infrastructures (WAmIi)
This is a technical report including the papers presented at the Workshop on Ambient Intelligence Infrastructures (WAmIi) that took place in conjunction with the International Joint Conference on Ambient Intelligence (AmI) in Pisa, Italy on November 13, 2012. The motivation for organizing the workshop was the wish to learn from past experience on Ambient Intelligence systems, and in particular, on the lessons learned on the system architecture of such systems. A significant number of European projects and other research have been performed, often with the goal of developing AmI technology to showcase AmI scenarios. We believe that for AmI to become further successfully accepted the system architecture is essential
Proceedings of the 2012 Workshop on Ambient Intelligence Infrastructures (WAmIi)
This is a technical report including the papers presented at the Workshop on Ambient Intelligence Infrastructures (WAmIi) that took place in conjunction with the International Joint Conference on Ambient Intelligence (AmI) in Pisa, Italy on November 13, 2012. The motivation for organizing the workshop was the wish to learn from past experience on Ambient Intelligence systems, and in particular, on the lessons learned on the system architecture of such systems. A significant number of European projects and other research have been performed, often with the goal of developing AmI technology to showcase AmI scenarios. We believe that for AmI to become further successfully accepted the system architecture is essential
A Multiagent System Supporting Situation Aware Interaction with a Smart Environment
Adapting the behavior of a smart environment means to tailor its functioning to both context situation and
users’ needs and preferences. In this paper we propose an agent-based approach for controlling the behavior
of a Smart Environment that, based on the recognized situation and user goal, selects a suitable workflow
for combining services of the environment. We use the metaphor of a butler agent that employs user and
context modeling to support proactive adaptation of the interaction with the environment. The interaction is
adapted to every specific situation the user is in thanks to a class of agents called Interactor Agents