Agent-based models tend to be more and more complex. In order to cope with this increase
of complexity, powerful modeling and simulation tools are required. These last years have …

Abstract Background and Objective: The agent abstraction is a powerful one, developed
decades ago to represent crucial aspects of artificial intelligence research. The meaning has …

Agro-food networks are characterized by complex material exchanges among farms,
processors, consumers, and waste managers involved in fertilization, food, feed and …

An agent-based model is a computer simulation driven by the individual decisions of
programmed agents. Such models provide a promising alternative to traditional economic …

With the increase of computing power and the development of user-friendly multi-agent
simulation frameworks, social simulations have become increasingly realistic. However …

Construction projects are subject to numerous risks that could have consequences on
project achievement. They involve numerous stakeholders whose interests and demands …

In this work, we aim to model the multi-UAV rendezvous recharging problem, which consists
of energy-limited aerial vehicles that rendezvous with a mobile or fixed charging station. The …

Agent-based modeling is a flexible and intuitive approach that is close to both data and
theories, which gives it a special position in the majority of scientific communities. Agent …

Abstract Multi-Level Agent-Based Modeling (ML-ABM) has been receiving increasing
attention in recent years. In this paper we present LevelSpace, an extension that allows …

Les travaux de recherche que j'ai menés depuis la soutenance de ma thèse en janvier 1996
représentent une tranche de vie! Même si la plupart de ces années ont été passées au sein …