André Calero Valdez does research on Computational Communication Science investigating the influence of network structure and algorithms on communication flow using agent-based modeling.

Agent-based Simulation, Artificial Intelligence, Multiagent Systems

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

Applications of agent-based modeling and complexity theory to real-world problems. I am particular interested in stigmergic polyagents, their relation to the path integral formalization of quantum physics, and their application to combinatorially explosive problems, but also work extensively in modeling social systems.

To understand the nature of sustainable biophysical/economic systems. To determine the necessary and sufficient conditions for sustainability. To explore the trade-off between sustainability and social or economic justice. To investigate the application of the MEP and/or the MEPP to economic systems, or agent-based models of economic systems.

My research examines the most effective and efficient policies for renewable energy development using an approach that integrates input-output analysis, life cycle analysis, econometric, and agent-based modelling to estimate the impacts of the policies to economic, emission, extracted materials, renewable energy capacity and social acceptance.