The multi-agent environment is now widely recognised as a key design abstraction for
constructing multi-agent systems, equally important as the agents. An explicitly designed …

In this paper, we propose a multi-agent approach to solve a hard combinatorial problem: the
vehicle routing problem with time windows. A multi-agent approach is most relevant when …

Multi-agent-based simulation (MABS) is the processing of a multi-agent model of a complex
system by a simulation platform that controls its execution. The objective is the …

Mobility simulations are an effective tool to forecast the effects of transportation policies.
They are a useful part of decision support systems for policymakers. Big real-estate projects …

La simulation multi-agent est utilisée pour comprendre des systèmes complexes par la
reproduction de divers scénarios. Dans les plates-formes de simulation actuelles, la …

Multi-agent-based simulation (MABS) is used to understand complex real life processes and
to experiment several scenarios in order to reproduce, understand and evaluate these …

Les modèles de coordination orientés-données (eg Linda, Klaim etc.) se fondent sur un
espace de données partagées pour la coordination de processus et sont connus pour être …

In the present study, the research problem concerns business intelligence, more precisely
collaborative decision-making. The authors propose a complete modeling of a multi-agent …

When designing agent-based simulation, the choice of a coordination model is a key issue,
since one of the difficulties is to link the activation of the agents with their context efficiently …

Maryam Samaeia, Mostafa Amelia, b,*, Jon F. Davisb, Sean T. McQuadec, Jonathan Leeb,
Benedetto Piccolic and Alexandre Bayenb a University Gustave Eiffel, COSYS, GRETTIA …