Agents for Recognizing and Responding to the Behaviour of an Elder
Karen Zita Haigh, Christopher W. Geib, Christopher A. Miller, John Phelps and Thomas Wagner
Honeywell Technology Center,
3660 Technology Drive,
Minneapolis, MN 55418
In the AAAI 2002 Workshop ``Automation as Caregiver"
We are building an agent-oriented system to aid elderly people to live longer
in their homes, increasing the duration of their independence from
round-the-clock care while maintaining important social connectedness and
reducing caregiver burden. Independent LifeStyle Assistant (TM) (I.L.S.A.) is a
multiagent system that incorporates a unified sensing model, probabilistically
derived situation awareness, hierarchical task network response planning,
real-time action selection control, complex coordination, and machine learning.
This paper describes I.L.S.A's agents and present a scenario of the
author="Karen Zita Haigh and Christopher W. Geib and Christopher A. Miller and John Phelps and Thomas Wagner",
title="Agents for Recognizing and Responding to the Behaviour of an Elder",
note="AAAI Technical Report WS-02-02",
booktitle="Proceedings of the AAAI-02 Workshop ``Automation as Caregiver''"}
A copy of the entire proceedings, and other AAAI publications can be found at AAAI Press.