POMDP Models for Assistive Technology (2005)
| Citations: | 3 - 3 self |
BibTeX
@TECHREPORT{Pascal05pomdpmodels,
author = {Jesse Hoey Pascal and Pascal Poupart and Craig Boutilier and Alex Mihailidis},
title = {POMDP Models for Assistive Technology},
institution = {},
year = {2005}
}
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Abstract
This paper presents a general decision theoretic model of interactions between users and cognitive assistive technologies for various tasks of importance to the elderly population. The model is a partially observable Markov decision process (POMDP) whose goal is to work in conjunction with a user towards the completion of a given activity or task. This requires the model to monitor and assist the user, to maintain indicators of overall user health, and to adapt to changes. The key strengths of the POMDP model are that it is able to deal with uncertainty, it is easy to specify, it can be applied to different tasks with little modification, and it is able to learn and adapt to changing tasks and situations.
