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Agent-Based Information Sharing for Ambient Intelligence Andrei Olaru and Cristian Gratie AI-MAS Group, University Politehnica,


  1. � � � Agent-Based Information Sharing for Ambient � Intelligence � ——————————————————————— � Andrei Olaru and Cristian Gratie � AI-MAS Group, University Politehnica, Bucharest, Romania � LIP6, University Pierre et Marie Curie, Paris, France � 17.09.2010 � 1/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  2. � Introduction � Layers � Sharing � Agents Agent-Based Information Sharing for Ambient � Applications Intelligence ——————————————- � Goal � Context overview � Scenario � Results � Conclusions 2/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  3. 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 � Applications � Goal � Context � Scenario � Results � Conclusions 3/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  4. 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 � Applications � Goal � Context � Scenario � Results People � Conclusions 3/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  5. 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 � Applications � Goal � Context � Scenario � Results People · Devices � Conclusions 3/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  6. 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 � Applications � Goal � Context � Scenario � Results People · Devices · Communication � Conclusions 3/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  7. 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 � Applications � Goal � Context � Scenario � Results People · Devices · Communication � Conclusions Problem: How to get the relevant information to the interested users? 3/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  8. � � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Applications � Goal � Context � Scenario � Results (layers based on [Seghrouchni, 2008] ) � Conclusions 4/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  9. � � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Applications � Goal � Context � Scenario � Results (layers based on [Seghrouchni, 2008] ) � Conclusions Hardware 4/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  10. � � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Applications � Goal � Context � Scenario � Results (layers based on [Seghrouchni, 2008] ) � Conclusions Hardware · Network 4/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  11. � � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Applications � Goal � Context � Scenario � Results (layers based on [Seghrouchni, 2008] ) � Conclusions Hardware · Network · Interoperability 4/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  12. � � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Applications � Goal � Context � Scenario � Results (layers based on [Seghrouchni, 2008] ) � Conclusions Hardware · Network · Interoperability · Application 4/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  13. � � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Applications � Goal � Context � Scenario � Results (layers based on [Seghrouchni, 2008] ) � Conclusions Hardware · Network · Interoperability · Application · Interface 4/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  14. � � Agent-Based Information � Sharing for Ambient Intelligence � Introduction � A Layered Perspective � Sharing � Agents � Applications � Goal � Context � Scenario � Results (layers based on [Seghrouchni, 2008] ) � Conclusions Hardware · Network · Interoperability · Application · Interface 4/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  15. · The users must get the information that is interesting for � � Agent-Based Information them. � Sharing for Ambient Intelligence � Introduction → context-awareness is needed for computing relevance. � Layers � Information Sharing � Agents � Applications � Goal � Context � Scenario � Results � Conclusions 5/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  16. · The users must get the information that is interesting for � � Agent-Based Information them. � Sharing for Ambient Intelligence � Introduction → context-awareness is needed for computing relevance. � Layers � Information Sharing � Agents · Ambient intelligence must be reliable and dependable. � Applications → distribution is absolutely necessary. � Goal � Context � Scenario � Results � Conclusions 5/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  17. · The users must get the information that is interesting for � � Agent-Based Information them. � Sharing for Ambient Intelligence � Introduction → context-awareness is needed for computing relevance. � Layers � Information Sharing � Agents · Ambient intelligence must be reliable and dependable. � Applications → distribution is absolutely necessary. � Goal � Context � Scenario � Results Our goal: build a multi-agent system for the context-aware sharing of information. � Conclusions 5/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  18. � · 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 � Applications � Goal � Context � Scenario � Results � Conclusions 6/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

  19. � · 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 � Applications Agents also offer beliefs, goals, intentions and easier � Goal · implementation of a human-inspired behaviour. � Context � Scenario � Results � Conclusions 6/ 15 Computer . . Andrei Olaru and Cristian Gratie Science . IDC 2010 & Engineering . Tangier, Morocco, 17.09.2010 Department

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