article

Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system

Authors:

Andrés Muñoz,

Juan Carlos Augusto,

Ana Villa,

Juan Antonio BotíaAuthors Info & Claims

Personal and Ubiquitous Computing, Volume 15, Issue 4

Pages 377 - 387

https://doi.org/10.1007/s00779-010-0361-1

Published: 01 April 2011 Publication History

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.

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Cited By

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Syed LJabeen SS. MAlsaeedi A(2019)Smart healthcare framework for ambient assisted living using IoMT and big data analytics techniquesFuture Generation Computer Systems10.1016/j.future.2019.06.004101:C(136-151)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1016/j.future.2019.06.004
Oguego CAugusto JMuñoz ASpringett M(2018)A survey on managing users' preferences in ambient intelligenceUniversal Access in the Information Society10.1007/s10209-017-0527-y17:1(97-114)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s10209-017-0527-y
Detweiler CHindriks K(2016)A survey of values, technologies and contexts in pervasive healthcarePervasive and Mobile Computing10.1016/j.pmcj.2015.09.00227:C(1-13)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2015.09.002
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Index Terms

Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
  2. Life and medical sciences
    1. Consumer health
    2. Health informatics
2. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems

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cover image Personal and Ubiquitous Computing

Personal and Ubiquitous Computing Volume 15, Issue 4

April 2011

119 pages

ISSN:1617-4909

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Springer-Verlag

Berlin, Heidelberg

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Published: 01 April 2011

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Syed LJabeen SS. MAlsaeedi A(2019)Smart healthcare framework for ambient assisted living using IoMT and big data analytics techniquesFuture Generation Computer Systems10.1016/j.future.2019.06.004101:C(136-151)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1016/j.future.2019.06.004
Oguego CAugusto JMuñoz ASpringett M(2018)A survey on managing users' preferences in ambient intelligenceUniversal Access in the Information Society10.1007/s10209-017-0527-y17:1(97-114)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s10209-017-0527-y
Detweiler CHindriks K(2016)A survey of values, technologies and contexts in pervasive healthcarePervasive and Mobile Computing10.1016/j.pmcj.2015.09.00227:C(1-13)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2015.09.002
Gascueòa JNavarro EFernández-Sotos PFernández-Caballero APavón J(2015)IDK and ICARO to develop multi-agent systems in support of Ambient IntelligenceJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.5555/3184333.318433428:1(3-15)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.5555/3184333.3184334
Kun Wang Yun Shao Lei Shu Guangjie Han Chunsheng Zhu (2015)LDPA: a local data processing architecture in ambient assisted living communicationsIEEE Communications Magazine10.1109/MCOM.2015.701051653:1(56-63)Online publication date: 1-Jan-2015
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Snidaro LGarcía JLlinas J(2015)Context-based Information FusionInformation Fusion10.1016/j.inffus.2015.01.00225:C(16-31)Online publication date: 1-Sep-2015
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Yang JLee Y(2014)Development of Measurement Model for the Value of QOL as an Influential Factor of Metabolic SyndromeWireless Personal Communications: An International Journal10.1007/s11277-014-1843-779:4(2639-2654)Online publication date: 1-Dec-2014
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Yang JKim JKang ULee Y(2014)Coronary heart disease optimization system on adaptive-network-based fuzzy inference system and linear discriminant analysis (ANFIS---LDA)Personal and Ubiquitous Computing10.1007/s00779-013-0737-018:6(1351-1362)Online publication date: 1-Aug-2014
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Koreshoff TRobertson TLeong T(2013)Internet of thingsProceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration10.1145/2541016.2541048(335-344)Online publication date: 25-Nov-2013
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Cuevas-Martinez JCanada-Bago JFernandez-Prieto JGadeo-Martos M(2013)Knowledge-based duty cycle estimation in wireless sensor networksApplied Soft Computing10.1016/j.asoc.2012.10.00513:2(967-980)Online publication date: 1-Feb-2013
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Recommendations

Ambient intelligence in assisted living: enable elderly people to handle future interfaces

An ambient assisted living nighttime wandering system for elderly

Combining Artificial Intelligence and NetMedicine for Ambient Assisted Living: A Distributed BDI-based Expert System

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