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Authors: Weifei Xie 1 ; Cédric Herpson 1 ; Christophe Cambier 2 and Jean-Marie Dembelle 3

Affiliations: 1 Sorbonne Université, CNRS, LIP6, F-75005 Paris, France ; 2 Sorbonne Université, IRD, UCAD, UGB, UMI, UMMISCO, F-75006 Paris, France ; 3 Université Gaston Berger de Saint-Louis, Laboratoire d’Analyse Numérique et Informatique, BP.234 Saint Louis, Senegal

Keyword(s): Mixed Initiative, Autonomy, Design Phase.

Abstract: Adaptive autonomy, adjustable autonomy or mixed initiative are introduced to allow the intelligent system to cope with a dynamic environment. In these approaches, the system is allowed to change the level of autonomy by itself or by an external actor. In this research, we introduce PPS, an analysis grid focused on the role of the entities that compose a human-non-human team. It evaluates the genericity and collaboration capabilities of existing architectures and mechanisms and can be used as a guide to design architectures covering all collaboration configurations...

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Paper citation in several formats:
Xie, W.; Herpson, C.; Cambier, C. and Dembelle, J. (2023). Platform-Pilot-Supervisor (PPS) when Mixed-Initiative Become Entity Agnostic. In Proceedings of the 1st International Conference on Cognitive Aircraft Systems - ICCAS; ISBN 978-989-758-657-6, SciTePress, pages 69-72. DOI: 10.5220/0011961600003622

@conference{iccas23,
author={Weifei Xie. and Cédric Herpson. and Christophe Cambier. and Jean{-}Marie Dembelle.},
title={Platform-Pilot-Supervisor (PPS) when Mixed-Initiative Become Entity Agnostic},
booktitle={Proceedings of the 1st International Conference on Cognitive Aircraft Systems - ICCAS},
year={2023},
pages={69-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011961600003622},
isbn={978-989-758-657-6},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Cognitive Aircraft Systems - ICCAS
TI - Platform-Pilot-Supervisor (PPS) when Mixed-Initiative Become Entity Agnostic
SN - 978-989-758-657-6
AU - Xie, W.
AU - Herpson, C.
AU - Cambier, C.
AU - Dembelle, J.
PY - 2023
SP - 69
EP - 72
DO - 10.5220/0011961600003622
PB - SciTePress

- Science and Technology Publications, Lda.
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