Towards a Model of Evolving Agents for Ambient Intelligence

  title={Towards a Model of Evolving Agents for Ambient Intelligence},
  author={Stefania Costantini and Pierangelo Dell’Acqua and Luı́s Moniz Pereira and Francesca Toni},
We propose a general vision for agents in Ambient Intelligent applications, whereby agents monitor and train unintrusively human users, and learn their patterns of behavior by observing and generalizing their observations, but also by “imitating” them. Agents can also learn by “imitating” other agents, after 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 this paper we focus on… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications referenced by this paper.
Showing 1-10 of 14 references

systems in computational logic

  • A. Tocchio, Multi-Agent
  • Ph.D. dissertation, Dipartimento di Informatica…
  • 2005
2 Excerpts

Stephen Muggleton and Luc De Raedt , ‘ Inductive logic programming : Theory and methods

  • P. Mancarella A. C. Kakas, F. Sadri, K. Stathis, F. Toni
  • Journal of Logic Programming Not by Genes Alone…
  • 2004

Similar Papers

Loading similar papers…