Learning and Evolving Agents in User Monitoring and Training

DI Group Author

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 languageUnknown
Title of host publicationAssociazione Italiana per l’Informatica ed il Calcolo Automatico
Editors PI
Place of Publicationhttp://www.aicanet.it/
PublisherAssociazione Italiana per l’Informatica ed il Calcolo Automatico - AICA
PagesNONE
ISBN (Print)9788890540608
Publication statusPublished - 1 Jan 2010
EventCongresso Nazionale - AICA -
Duration: 1 Jan 2010 → …

Conference

ConferenceCongresso Nazionale - AICA
Period1/01/10 → …

Cite this

DI Group Author (2010). Learning and Evolving Agents in User Monitoring and Training. In PI (Ed.), Associazione Italiana per l’Informatica ed il Calcolo Automatico (pp. NONE). Associazione Italiana per l’Informatica ed il Calcolo Automatico - AICA. http://centria.di.fct.unl.pt/~lmp/publications/online-papers/AICA-2010.pdf