Authors:
Quentin Reynaud
1
;
Yvon Haradji
2
;
François Sempé
3
and
Nicolas Sabouret
1
Affiliations:
1
LIMSI, CNRS, Univ. Paris-Sud and Université Paris-Saclay, France
;
2
EDF RandD and EDF Lab Paris-Saclay, France
;
3
François Sempé AE, France
Keyword(s):
Multi Agent Based Simulation, Human Behavior Simulation, Time Use Survey.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Industrial Applications of AI
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
Human behavior simulations in multi agent systems often lack data to calibrate and qualify the representativeness of the simulated behaviors. In this paper, we will show that massive investigations such as time-use surveys allow us to obtain this type of data. At the present time, time-use surveys are mostly used to validate the realism of human activity at a macroscopic level (population scale). In this paper, we present a new method of human behavior generation that combines the use of time-use surveys to calibrate human activities, with a multi agent system enabling simulated behaviors to gain reactivity, autonomy, coordination and realism at a microscopic level (individual scale).