Agents for Recognizing and Responding to the Behavior of an Elder

Karen Zita Haigh, Christopher W. Geib, Christopher A. Miller, John Phelps, and Thomas Wagner

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 the ILSA’s agents and present a scenario of the information flow.


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