Inproceedings
Book title :
11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN'20)
Series :
Procedia Computer Science
Address :
Madeira, Portugal
ISBN : 1877-0509
Publisher :
Information
Period : November 2020
Volume : 177
Pages : 212-219
Details
Dealing with Failures for Execution Consistency in Context-aware Systems
Ahmed-Chawki Chaouche Jean-Michel Ilie Fran\ccois Pêcheux
In this paper, we consider a symbolic mechanism designed to help guide the performance of actions of a Belief-Desire-Intention (BDI) agent under both concurrency and relevance criteria. Behind the planning activity which can optimistically estimate the relevance of traces, we propose to directly supervise the best effort execution of the intentions as to keep track of the most relevant ones in case of failures. To support the presented method, a typical use case is given that targets the automated guidance of an autonomous vehicle.
Key words :
Contextual planning Guidance Relevant execution Plan multi revision strategy Failure handling
Ref. laboratory citation :
misc-lab-348
DOI :
10.1016/j.procs.2020.10.030
Link :
Texte intégral
ACM :
A.-C. Chaouche, J.-M. Ilie and F. Pêcheux. 2020. Dealing with Failures for Execution Consistency in Context-aware Systems. In Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN'20), Madeira, Portugal. Procedia Computer Science, 177 (November 2020), Elsevier, 212-219. DOI: https://doi.org/10.1016/j.procs.2020.10.030.
APA :
Chaouche, A.-C., Ilie, J.-M. & Pêcheux, F. (2020, November). Dealing with Failures for Execution Consistency in Context-aware Systems. In Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN'20), Madeira, Portugal. Procedia Computer Science, 177, Elsevier, 212-219. DOI: https://doi.org/10.1016/j.procs.2020.10.030
IEEE :
A.-C. Chaouche, J.-M. Ilie and F. Pêcheux, "Dealing with Failures for Execution Consistency in Context-aware Systems". In Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN'20), Madeira, Portugal. Procedia Computer Science, vol. 177, Elsevier, pp. 212-219, November, 2020. DOI: https://doi.org/10.1016/j.procs.2020.10.030.
BibTeX :
@inproceedings{misc-lab-348,
author = {Chaouche, Ahmed-Chawki and Ilie, Jean-Michel and P\^{e}cheux, Fran\ccois},
title = {Dealing with Failures for Execution Consistency in Context-aware Systems},
volume = {177},
booktitle = {11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN'20)},
series = {Procedia Computer Science},
location = {Madeira, Portugal},
isbn = {1877-0509},
pages = {212--219},
publisher = {Elsevier},
year = {2020},
month = {November},
doi = {10.1016/j.procs.2020.10.030},
url = {https://www.sciencedirect.com/science/article/pii/S1877050920322973},
keywords = {Contextual planning, guidance, Relevant execution, Plan multi revision strategy, Failure handling}
}
RIS :
TY  - CONF
TI - Dealing with Failures for Execution Consistency in Context-aware Systems
AU - A.-C. Chaouche
AU - J.-M. Ilie
AU - F. Pêcheux
PY - 2020
VL - 177
BT - 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN'20), Madeira, Portugal
SN - 1877-0509
SP - 212
EP - 219
PB - Elsevier
AB - In this paper, we consider a symbolic mechanism designed to help guide the performance of actions of a Belief-Desire-Intention (BDI) agent under both concurrency and relevance criteria. Behind the planning activity which can optimistically estimate the relevance of traces, we propose to directly supervise the best effort execution of the intentions as to keep track of the most relevant ones in case of failures. To support the presented method, a typical use case is given that targets the automated guidance of an autonomous vehicle.
KW - Contextual planning
KW - guidance
KW - Relevant execution
KW - Plan multi revision strategy
KW - Failure handling
DO - 10.1016/j.procs.2020.10.030
UR - https://www.sciencedirect.com/science/article/pii/S1877050920322973
ID - misc-lab-348
ER -