Learning and Evolving Agents in User Monitoring and Training

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

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings Congresso Nazionale, Associazione Italiana per l’Informatica ed il Calcolo Automatico
Editors	Paola Inverardi
Publisher	Associazione Italiana per l’Informatica ed il Calcolo Automatico - AICA
Number of pages	10
ISBN (Print)	9788890540608
Publication status	Published - 2010
Event	48° Congresso Nazionale AICA: La ricostruzione dell'Aquila come laboratorio sperimentale per la comunità scientifica e industriale nazionale ICT - L'Aquila, Italy Duration: 29 Sept 2010 → 1 Oct 2010

Conference

Conference	48° Congresso Nazionale AICA
Country/Territory	Italy
City	L'Aquila
Period	29/09/10 → 1/10/10

Cite this

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title = "Learning and Evolving Agents in User Monitoring and Training",

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.",

keywords = "Learning, Training, Agents, Monitoring",

author = "Stefania Costantini and Pierangelo Dell'Acqua and Pereira, {Lu{\'i}s Moniz} and Francesca Toni",

year = "2010",

language = "English",

isbn = "9788890540608",

editor = "Paola Inverardi",

booktitle = "Proceedings Congresso Nazionale, Associazione Italiana per l{\textquoteright}Informatica ed il Calcolo Automatico",

publisher = "Associazione Italiana per l{\textquoteright}Informatica ed il Calcolo Automatico - AICA",

note = "48° Congresso Nazionale AICA : La ricostruzione dell'Aquila come laboratorio sperimentale per la comunit{\`a} scientifica e industriale nazionale ICT ; Conference date: 29-09-2010 Through 01-10-2010",

}

Costantini, S, Dell'Acqua, P, Pereira, LM & Toni, F 2010, Learning and Evolving Agents in User Monitoring and Training. in P Inverardi (ed.), Proceedings Congresso Nazionale, Associazione Italiana per l’Informatica ed il Calcolo Automatico. Associazione Italiana per l’Informatica ed il Calcolo Automatico - AICA, 48° Congresso Nazionale AICA, L'Aquila, Italy, 29/09/10.

Learning and Evolving Agents in User Monitoring and Training. / Costantini, Stefania; Dell'Acqua, Pierangelo; Pereira, Luís Moniz et al.
Proceedings Congresso Nazionale, Associazione Italiana per l’Informatica ed il Calcolo Automatico. ed. / Paola Inverardi. Associazione Italiana per l’Informatica ed il Calcolo Automatico - AICA, 2010.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Learning and Evolving Agents in User Monitoring and Training

AU - Costantini, Stefania

AU - Dell'Acqua, Pierangelo

AU - Pereira, Luís Moniz

AU - Toni, Francesca

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Learning

KW - Training

KW - Agents

KW - Monitoring

M3 - Conference contribution

SN - 9788890540608

BT - Proceedings Congresso Nazionale, Associazione Italiana per l’Informatica ed il Calcolo Automatico

A2 - Inverardi, Paola

PB - Associazione Italiana per l’Informatica ed il Calcolo Automatico - AICA

T2 - 48° Congresso Nazionale AICA

Y2 - 29 September 2010 through 1 October 2010

ER -

Learning and Evolving Agents in User Monitoring and Training

Abstract

Conference

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