Ambient Intelligence (AmI) aims to make our everyday living and working a better, a smarter and a more pleasant environment that pro-actively but non-intrusively supports us in our daily lives. It integrates technologies and algorithmic aspects from many domains: artificial intelligence, distributed and mobile computing, human-computer interfaces, sensor networks, collaborative and pervasive computing, robotics, context aware computing, and others. Considering AmI features and multi-disciplinary nature, intelligent agent technology is a very promising and suitable approach to support the development of AmI new systems and applications.
The Agent Technologies for Ambient Intelligence (AgTAmI) Workshop will bring together scientists and practitioners interested in discussing and exchanging views on how to make better use of agents and multi-agent systems in novel approaches and applications of AmI, how to better exploit a technology that has now arrived to its maturity, in order to create intelligence embedded in the environment and to adapt the environment to user's interests and expectations.
A debate on directions and future directions of research in the area will be organized by the end of the Workshop, giving the participants the possibility to share ideas and make new contacts.
The Workshop is looking for original contributions from, but not limited to the following topics:
Sensing and reasoning technologies
Multi-agent architectures for AmI applications
Scalable AmI architectures
Context aware computing and applications
Trust and reputation in AmI environments
Norms in pervasive computing
Ambient intelligence services
Human aware computing
Human-centered interfaces based on agents
Agents and the Internet of Things
Agents and the Internet of Everything
Agents for sensor networks
Mobile agent computing
Robots for AmI environments
Societal applications based on multi-agent systems
Social models for AmI
Agents in Ambient Assisted Living
Industrial applications of ambient intelligence
Agents for Smart Cities
05月29日
2017
05月31日
2017
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