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Publication details
Main information
Learning and Evolving Agents in User Monitoring and Training
September 2010
LEAUMT10
We propose a general vision for agents in Ambient Intelligent applications, whereby agents monitor and unintrusively train human users, and learn their patterns of behavior not only by observing and generalizing their observations, but also by “imitating” them. Agents can also learn by “imitating” other agents, when being told by them. Within this vision, agents need to evolve to take into account what they learn from or about users, and as a result of monitoring the users.
In proceedings
S. Costantini, P. Dell'Acqua, Luís Moniz Pereira, Francesca Toni
Paola Inverardi et al.
Congresso Nazionale - AICA 2010
Congresso Nazionale - AICA
Associazione Italiana per l’Informatica ed il Calcolo Automatico - AICA
http://www.aicanet.it/
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http://centria.di.fct.unl.pt/~lmp/publications/online-papers/AICA-2010.pdf
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Centre for Artificial Intelligence of UNL
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