Learning and Evolving Agents in User Monitoring and Training

Stefania Costantini, Pierangelo Dell'Acqua, Luís Moniz Pereira, Francesca Toni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.
Original languageEnglish
Title of host publicationProceedings Congresso Nazionale, Associazione Italiana per l’Informatica ed il Calcolo Automatico
EditorsPaola Inverardi
PublisherAssociazione Italiana per l’Informatica ed il Calcolo Automatico - AICA
Number of pages10
ISBN (Print)9788890540608
Publication statusPublished - 2010
Event48° Congresso Nazionale AICA: La ricostruzione dell'Aquila come laboratorio sperimentale per la comunità scientifica e industriale nazionale ICT - L'Aquila, Italy
Duration: 29 Sept 20101 Oct 2010


Conference48° Congresso Nazionale AICA


Dive into the research topics of 'Learning and Evolving Agents in User Monitoring and Training'. Together they form a unique fingerprint.

Cite this