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Authors: Catherine Combes 1 and Jean Azéma 2

Affiliations: 1 University of Lyon and University of Jean Monnet, France ; 2 University of Jean Monnet, France

Keyword(s): Grammar Inference, k-Testable Language in Strict Sense, Probabilistic Deterministic Finite Automata, Time Series, Evolution of Elderly People Disability.

Abstract: We investigate the contribution of unsupervised learning and regular grammatical inference to respectively identify profiles of elderly people and their development over time in order to evaluate care needs (human, financial and physical resources). The proposed approach is based on k-Testable Languages in the Strict Sense Inference algorithm in order to infer a probabilistic automaton from which a Markovian model which has a discrete (finite or countable) state-space has been deduced. In simulating the corresponding Markov chain model, it is possible to obtain information on population ageing. We have verified if our observed system conforms to a unique long term state vector, called the stationary distribution and the steady-state.

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Paper citation in several formats:
Combes, C. and Azéma, J. (2013). Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART 2013) - Volume 1: LAFLang; ISBN 978-989-8565-38-9; ISSN 2184-433X, SciTePress, pages 451-460. DOI: 10.5220/0004356804510460

@conference{laflang13,
author={Catherine Combes. and Jean Azéma.},
title={Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART 2013) - Volume 1: LAFLang},
year={2013},
pages={451-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004356804510460},
isbn={978-989-8565-38-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART 2013) - Volume 1: LAFLang
TI - Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People
SN - 978-989-8565-38-9
IS - 2184-433X
AU - Combes, C.
AU - Azéma, J.
PY - 2013
SP - 451
EP - 460
DO - 10.5220/0004356804510460
PB - SciTePress

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