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Authors: Camille Barot ; Domitile Lourdeaux and Dominique Lenne

Affiliation: Université de Technologie de Compiègne, France

Keyword(s): Planning, Virtual Environments for Training.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Enterprise Information Systems ; Formal Methods ; Industrial Applications of AI ; Informatics in Control, Automation and Robotics ; Information Systems Analysis and Specification ; Intelligent Control Systems and Optimization ; Methodologies and Technologies ; Operational Research ; Planning and Scheduling ; Simulation ; Simulation and Modeling ; Soft Computing ; Symbolic Systems

Abstract: As the industrial world grows more complex, virtual environments have proven to be interesting tools to train workers to procedures and work situations. To ensure learning and motivation from the trainees, a pedagogical control of these environments is needed. However, existing systems either do not provide control over running simulations, limit user agency, need the authors to specify a priori all possible scenarios, or allow incoherent behaviours from the simulated technical system or the virtual characters. We propose in this paper a model for a dynamic and indirect control of the events of a virtual environment. Our model aims to ensure the control, coherence, and emergence of situations, in virtual environments designed for training in highly complex work situations.

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Paper citation in several formats:
Barot, C.; Lourdeaux, D. and Lenne, D. (2013). Dynamic Scenario Adaptation Balancing Control, Coherence and Emergence. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8565-39-6; ISSN 2184-433X, SciTePress, pages 232-237. DOI: 10.5220/0004213802320237

@conference{icaart13,
author={Camille Barot. and Domitile Lourdeaux. and Dominique Lenne.},
title={Dynamic Scenario Adaptation Balancing Control, Coherence and Emergence},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2013},
pages={232-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004213802320237},
isbn={978-989-8565-39-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Dynamic Scenario Adaptation Balancing Control, Coherence and Emergence
SN - 978-989-8565-39-6
IS - 2184-433X
AU - Barot, C.
AU - Lourdeaux, D.
AU - Lenne, D.
PY - 2013
SP - 232
EP - 237
DO - 10.5220/0004213802320237
PB - SciTePress