Modeling, companion modeling, role playing games, serious games, multi-agent systems, agent-oriented simulation, complex systems, water management, artificial intelligence
Adapting Agents on Evolving Networks: An evolutionary game theory approach
social simulation, Multiagent Systems, Process Algebra, Game Theory
Simulation games, systemic complexity, learning, business cycles, and discrete-event simulation, modeling sustainability challenges in urban context.
Pedagogy and Web-based GIS role-playing simulation games for monitoring and restoration in watersheds and biological corridors, with public high school teachers and their students
Improving agent models and architectures for agent-based modelling and simulation applied to crisis management. In particular modelling of BDI agents, emotions, cognitive biases, social attachment, etc.
Designing serious games to increase awareness about climate change or natural disasters; to improve civil engagement in sustainable urban planning; to teach Artificial Intelligence to the general public; to explain social phenomena (voting procedures; sanitary policies; etc).
PhD student in the Agent Systems Research Group of the Department of Artificial Intelligence at the VU University Amsterdam. Current research focuses on Modeling Human Behavior and exploring Serious Games interactions with humans.
Christophe Le Page currently works at the Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD). Christophe does research on participatory modelling of the interactions between agriculture and the environment, focusing more specifically on the relationships among stakeholders about the management of natural renewable resources. Christophe is designing and using interactive agent-based simulation and role-playing games. He is an active member of the Companion Modelling research group.
Agent-based simulations and role-playing games in the field of renewable resource management.