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.