This paper focuses on ambient assisted living systems employed to monitor the ongoing situations of elderly people living independently. Such situations are represented here as contexts inferred by multiple software agents out of the data gathered from sensors within a home. Sensors can give an incomplete, sometimes ambiguous, picture of the world; hence, they often lead to inconsistent contexts and unreliability on the system as a whole. We report on a solution to this problem based on a multi-agent system where each agent is able to support its understanding of the context through arguments. These arguments can then be compared against each other to determine which agent provides the most reliable interpretation of the reality under observation.
%0 Journal Article
%1 MunozAugustoEtAl11puc
%A Muñoz, Andrés
%A Augusto, Juan Carlos
%A Villa, Ana
%A Bot\'ıa, Juan Antonio
%D 2011
%J Personal and Ubiquitous Computing
%K v1205 springer paper embedded ai software agent adaptive middleware action recognition home zzz.spm
%N 4
%P 377-387
%R 10.1007/s00779-010-0361-1
%T Design and Evaluation of an Ambient Assisted Living System Based on an Argumentative Multi-Agent System
%V 15
%X This paper focuses on ambient assisted living systems employed to monitor the ongoing situations of elderly people living independently. Such situations are represented here as contexts inferred by multiple software agents out of the data gathered from sensors within a home. Sensors can give an incomplete, sometimes ambiguous, picture of the world; hence, they often lead to inconsistent contexts and unreliability on the system as a whole. We report on a solution to this problem based on a multi-agent system where each agent is able to support its understanding of the context through arguments. These arguments can then be compared against each other to determine which agent provides the most reliable interpretation of the reality under observation.
@article{MunozAugustoEtAl11puc,
abstract = {This paper focuses on ambient assisted living systems employed to monitor the ongoing situations of elderly people living independently. Such situations are represented here as contexts inferred by multiple software agents out of the data gathered from sensors within a home. Sensors can give an incomplete, sometimes ambiguous, picture of the world; hence, they often lead to inconsistent contexts and unreliability on the system as a whole. We report on a solution to this problem based on a multi-agent system where each agent is able to support its understanding of the context through arguments. These arguments can then be compared against each other to determine which agent provides the most reliable interpretation of the reality under observation.},
added-at = {2012-05-30T10:51:17.000+0200},
author = {Mu{\~{n}}oz, Andr\'{e}s and Augusto, Juan Carlos and Villa, Ana and Bot\'{\i}a, Juan Antonio},
biburl = {https://www.bibsonomy.org/bibtex/2b95eefa015df954883ea07f6df619417/flint63},
doi = {10.1007/s00779-010-0361-1},
file = {SpringerLink:2011/MunozAugustoEtAl11puc.pdf:PDF},
groups = {public},
interhash = {2cfce232d021dc8b2871c1808675a9ec},
intrahash = {b95eefa015df954883ea07f6df619417},
issn = {1617-4909},
journal = {Personal and Ubiquitous Computing},
keywords = {v1205 springer paper embedded ai software agent adaptive middleware action recognition home zzz.spm},
month = {#apr#},
number = 4,
pages = {377-387},
timestamp = {2018-04-16T12:06:34.000+0200},
title = {Design and Evaluation of an Ambient Assisted Living System Based on an Argumentative Multi-Agent System},
username = {flint63},
volume = 15,
year = 2011
}