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Authors: Kévin Darty 1 ; Julien Saunier 2 and Nicolas Sabouret 3

Affiliations: 1 French Institute of Science and Technology for Transport and Development and Networks (IFSTTAR), France ; 2 National Institute of Applied Sciences (INSA) of Rouen, France ; 3 National Center for Scientific Research (CNRS), France

Keyword(s): Multi-agent Simulation, Credibility Evaluation, Objective and Subjective Approach, Behavior Clustering and Explicitation.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Computational Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; Information Systems Analysis and Specification ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: This paper presents a method for evaluating the credibility of agents’ behaviors in immersive multi-agent simulations. It combines two approaches. The first one is based on a qualitative analysis of questionnaires filled by the users and annotations filled by others participants to draw categories of users (related to their behavior in the context of the simulation or in real life). The second one carries out a quantitative behavior data collection during simulations in order to automatically extract behavior clusters. We then study the similarities between user categories, participants’ annotations and behavior clusters. Afterward, relying on user categories and annotations, we compare human behaviors to agent ones in order to evaluate the agents’ credibility and make their behaviors explicit. We illustrate our method with an immersive driving simulator experiment.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Darty, K.; Saunier, J. and Sabouret, N. (2014). A Method for Semi-automatic Explicitation of Agent’s Behavior - Application to the Study of an Immersive Driving Simulator. In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-016-1; ISSN 2184-433X, pages 81-91. DOI: 10.5220/0004821400810091

@conference{icaart14,
author={Kévin Darty. and Julien Saunier. and Nicolas Sabouret.},
title={A Method for Semi-automatic Explicitation of Agent’s Behavior - Application to the Study of an Immersive Driving Simulator},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2014},
pages={81-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004821400810091},
isbn={978-989-758-016-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Method for Semi-automatic Explicitation of Agent’s Behavior - Application to the Study of an Immersive Driving Simulator
SN - 978-989-758-016-1
IS - 2184-433X
AU - Darty, K.
AU - Saunier, J.
AU - Sabouret, N.
PY - 2014
SP - 81
EP - 91
DO - 10.5220/0004821400810091

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