ABSTRACT
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. The Independent LifeStyle AssistantTM
(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 problem, our reasoning
for selecting an agent-based approach, and the architecture
of the system.
ABSTRACTWe are building an agent-oriented system to aid elderlypeople to live longer in their homes, increasing the durationof their independence from round-the-clock care whilemaintaining important social connectedness and reducingcaregiver burden. The Independent LifeStyle AssistantTM(I.L.S.A.) is a multiagent system that incorporates a unifiedsensing model, probabilistically derived situation awareness,hierarchical task network response planning, real-time actionselection control, complex coordination, and machinelearning. This paper describes the problem, our reasoningfor selecting an agent-based approach, and the architectureof the system.
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