A Context-Aware Multi-Agent System for AmI Environments - PowerPoint PPT Presentation

� � A Context-Aware Multi-Agent System for AmI Environments � ——————————————————————— � Andrei Olaru � Supervisors: Adina Magda Florea, AI-MAS Lab, UPB Amal El Fallah Seghrouchni, LIP6, UPMC 13.04.2010 1/ 7 . . Andrei Olaru . EuroSys Doctoral Workshop . Paris, 13.04.2010

Ambient Intelligence – or AmI – is an ubiquitous electronic � environment that supports people in their daily tasks, in a � A Context-Aware Multi-Agent � System for AmI Environments proactive, but ”invisible” and non-intrusive manner. � What is AmI? � Challenges � Layers � Approach � Research Steps People · Devices · Communication 2/ 7 . . Andrei Olaru . EuroSys Doctoral Workshop . Paris, 13.04.2010

� � A Context-Aware Multi-Agent � System for AmI Environments · How to make AmI reliable and dependable? � Introduction · How to manage the huge quantity of information � Challenges of AmI generated by sensors and devices? � Layers · How to provide only interesting information to the user � Approach in every situation? � Research Steps · How to make AmI privacy-aware and trustable? 3/ 7 . . Andrei Olaru . EuroSys Doctoral Workshop . Paris, 13.04.2010

� � A Context-Aware Multi-Agent � System for AmI Environments � Introduction � Challenges � A Layered Perspective � Approach � Research Steps 4/ 7 . . Andrei Olaru . EuroSys Doctoral Workshop . Paris, 13.04.2010

� � A Context-Aware Multi-Agent � System for AmI Environments System Distribution Multi-Agent Systems � Introduction · decentralization · autonomy · reduced central components · proactivity � Challenges · reasoning � Layers Self-Organization Context-Awareness · local interaction detection of compatible · · coherent global properties contexts � Approach · robustness & flexibility · adaptivity and anticipation � Research Steps 5/ 7 . . Andrei Olaru . EuroSys Doctoral Workshop . Paris, 13.04.2010

� � A Context-Aware Multi-Agent � System for AmI Environments � Introduction Develop a multi-agent system based model for AmI’s · � Challenges application layer. � Layers Propose scenarios that emphasize the requirements of · real-scale AmI. � Approach · Develop a simulation testbed that implements the scenarios. � Research Steps · Implement the developed model and experiment with the scenarios. 6/ 7 . . Andrei Olaru . EuroSys Doctoral Workshop . Paris, 13.04.2010

� � Thank you! ——————————————————————— � Any Questions? � � 7/ 7 . . Andrei Olaru . EuroSys Doctoral Workshop . Paris, 13.04.2010