Multiagent Technology Solutions for Planning in Ambient Intelligence Nicola Gatti, Francesco Amigoni, Marco Rolando {ngatti,

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Presentation transcript:

Multiagent Technology Solutions for Planning in Ambient Intelligence Nicola Gatti, Francesco Amigoni, Marco Rolando {ngatti, DEI, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, 20133, Italy

Nicola Gatti, Francesco Amigoni, Marco Rolando Application Scenario 2

Nicola Gatti, Francesco Amigoni, Marco Rolando Domotic Agency OSA Domotic Agency Paradigm CSA Majordomo Agent = OSA (Operative Semi-Agent) + CSA (Cooperative SA)

Nicola Gatti, Francesco Amigoni, Marco Rolando 4 Planning Devices Activities [Amigoni et al., T-SMC-A 2005] Majordomo CSA 1 CSA 2 CSA 3 CSA 4 ? ? ? ?

Nicola Gatti, Francesco Amigoni, Marco Rolando 5 Employing Agent Technologies Protocols: FIPA interaction protocols Ontologies: RDF Software platform: JADE/LEAP

Nicola Gatti, Francesco Amigoni, Marco Rolando Technological Open Issues JADE/LEAP is not fully appropriate to develop the whole system The operative semi-agent of each device needs to run on the device A JVM must run on each device, but computationally light devices cannot support JVM A LEAP platform must run on each device, but inter-platform communication is supported only on TCP/IP protocol (and not, e.g., on Bluetooth) The cooperative semi-agent of each device needs to move from the device to a platform with high computational capabilities CSAs classes need to be sent from the device to the platform by LEAP, but JVM for mobile devices does not support reflection It is unreasonable that platforms have the classes of all the possible CSAs As a result, JADE/LEAP must be improved to address such issues 6

Nicola Gatti, Francesco Amigoni, Marco Rolando Our Improvements 7

Nicola Gatti, Francesco Amigoni, Marco Rolando Experimental Setting and Result 8 G G C C A A B B D D Q Q R R S S O O P P N N M M I I L L G G H H E E F F agents (PC) mobile devices response s s s s

Nicola Gatti, Francesco Amigoni, Marco Rolando Conclusions and Future Works Our contributions Development of a platform exploiting current multiagent technologies for planning in Ambient Intelligence Stretching of current technologies to address mobile devices Promising experimental evaluation in simple case studies In future We will experimentally evaluate our proposal in concrete settings We will improve efficiency in the planning algorithm 9