Agent Based Modelling for Economics, Business and Scoail Sciences

My main research interests are agent-based modeling, simulation of social complexity, computational social choice, distributed systems and applied artificial intelligence.

agent-based modeling
social science simulation
computational economics

Using Bayesian statistics for improving Agent based models and visa versa.

I use agent-based systems, stochastic process, mass balance models and computational statistics in exploring human exposure assessment.

Analyzing economic dynamics through game theory and agent based evolutionary models. My research topics go from dynamics of organizations to industrial dynamics, macroeconomic dynamics and economic policy analysis.

I am working on agent-based modeling, and more precisely on the development of tools to help people (in particular non computer scientists) to develop their own models. I am one of the main developer of the GAMA platform.

Secondary education, agent-based modeling and computational science in education

Sociospatial network analysis, geovisualization, GIS algorithms, agent-based complexity modeling, human–environment systems, and urban geography

I have developed several agent-based and cellular automata applications combining agent-based modelling, geographical information systems and visualisation to understand the complex mechanisms of decision making in land use change and environmental stewardship in order to analyse:
• the role of pastoral agriculture in regional development,
• the tradeoffs between land use intensification and water quality,
• the adoption of land-based climate change mitigation practices, and
• the incorporation of cultural values into spatial futures or scenario modelling.