Agent-Based Information Sharing for Ambient Intelligence

� � � Agent-Based Information Sharing for Ambient � Intelligence � ——————————————————————— � Andrei Olaru � AI-MAS Group, University Politehnica Bucharest � LIP6, University Pierre et Marie Curie, Paris � 09.07.2010 1/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� Introduction � Layers � Sharing � Agents Agent-Based Information Sharing for Ambient � Application Intelligence ——————————————- � Context � Scenario overview � Results � Conclusions 2/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

Ambient Intelligence – or AmI – is an ubiquitous � electronic environment that supports people in their daily � Agent-Based Information � Sharing for Ambient Intelligence tasks, in a proactive, but ”invisible” and non-intrusive � What is AmI? manner. [Ramos et al., 2008, Weiser, 1993] � Layers � Sharing � Agents � Application � Context � Scenario � Results � Conclusions 3/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

Ambient Intelligence – or AmI – is an ubiquitous � electronic environment that supports people in their daily � Agent-Based Information � Sharing for Ambient Intelligence tasks, in a proactive, but ”invisible” and non-intrusive � What is AmI? manner. [Ramos et al., 2008, Weiser, 1993] � Layers � Sharing � Agents � Application � Context � Scenario � Results � Conclusions People 3/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

Ambient Intelligence – or AmI – is an ubiquitous � electronic environment that supports people in their daily � Agent-Based Information � Sharing for Ambient Intelligence tasks, in a proactive, but ”invisible” and non-intrusive � What is AmI? manner. [Ramos et al., 2008, Weiser, 1993] � Layers � Sharing � Agents � Application � Context � Scenario � Results � Conclusions People · Devices 3/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

Ambient Intelligence – or AmI – is an ubiquitous � electronic environment that supports people in their daily � Agent-Based Information � Sharing for Ambient Intelligence tasks, in a proactive, but ”invisible” and non-intrusive � What is AmI? manner. [Ramos et al., 2008, Weiser, 1993] � Layers � Sharing � Agents � Application � Context � Scenario � Results � Conclusions People · Devices · Communication 3/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

Ambient Intelligence – or AmI – is an ubiquitous � electronic environment that supports people in their daily � Agent-Based Information � Sharing for Ambient Intelligence tasks, in a proactive, but ”invisible” and non-intrusive � What is AmI? manner. [Ramos et al., 2008, Weiser, 1993] � Layers � Sharing � Agents � Application � Context � Scenario � Results � Conclusions People · Devices · Communication Problem: How to get the relevant information to the interested users? 3/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Application � Context � Scenario � Results � Conclusions (layers based on [Seghrouchni, 2008] ) 4/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Application � Context � Scenario � Results � Conclusions (layers based on [Seghrouchni, 2008] ) Hardware 4/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Application � Context � Scenario � Results � Conclusions (layers based on [Seghrouchni, 2008] ) Hardware · Network 4/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Application � Context � Scenario � Results � Conclusions (layers based on [Seghrouchni, 2008] ) Hardware · Network · Interoperability 4/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Application � Context � Scenario � Results � Conclusions (layers based on [Seghrouchni, 2008] ) Hardware · Network · Interoperability · Application 4/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Application � Context � Scenario � Results � Conclusions (layers based on [Seghrouchni, 2008] ) Hardware · Network · Interoperability · Application · Interface 4/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

· The users must get the information that is interesting to � � Agent-Based Information them. � Sharing for Ambient Intelligence � Introduction → context-awareness is needed, to calculate relevance. � Layers � Information Sharing � Agents � Application � Context � Scenario � Results � Conclusions 5/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

· The users must get the information that is interesting to � � Agent-Based Information them. � Sharing for Ambient Intelligence � Introduction → context-awareness is needed, to calculate relevance. � Layers � Information Sharing � Agents · Ambient intelligence must be reliable and dependable. � Application → distribution is absolutely necessary. � Context � Scenario � Results � Conclusions 5/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

· The users must get the information that is interesting to � � Agent-Based Information them. � Sharing for Ambient Intelligence � Introduction → context-awareness is needed, to calculate relevance. � Layers � Information Sharing � Agents · Ambient intelligence must be reliable and dependable. � Application → distribution is absolutely necessary. � Context � Scenario � Results � Conclusions Our goal: build a multi-agent system for the context-aware sharing of information. 5/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� · Agents satisfy the needs of AmI in terms of: � Agent-Based Information � Sharing for Ambient Intelligence · autonomy � Introduction · reactivity � Layers · proactivity � Sharing · planning � Why Agents? · reasoning · anticipation � Application � Context � Scenario � Results � Conclusions 6/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

� · Agents satisfy the needs of AmI in terms of: � Agent-Based Information � Sharing for Ambient Intelligence · autonomy � Introduction · reactivity � Layers · proactivity � Sharing · planning � Why Agents? · reasoning · anticipation � Application Agents also offer beliefs, goals, intentions and easier � Context · implementation of a human-inspired behaviour. � Scenario � Results � Conclusions 6/ 14 Computer . . Andrei Olaru Science . SEE-MAS Summer School & Engineering . Bucharest, 09.07.2010 Department

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