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social simulation, Multiagent Systems, Process Algebra, Game Theory
Simulation, machine learning, systems modeling, big data.
Armed conflict economics and political violence. Network theory and complexity, modeling and simulation.
Leonardo Grando is a Ph.D. Student at the University of Campinas (UNICAMP) in Brazil. I am interested in complex systems, agent-based simulation, artificial intelligence, the Internet of Things, programming, and machine learning tools. I have expertise in Netlogo, Python, R, Latex, SQL, and Linux tools.
My Ph.D. work project is an IoT devices (UAVs) swarm agent-based modeling simulation (ABMS) aiming the perpetual flight. The workflow is Netlogo to ABMS simulate, Python and R to data analysis, and I use Latex for my thesis writing.
Agent-based models of human behaviour, from cognitive modelling through to cognitively-rich social simulation.
Human-Environment relations
socio-ecological systems
Transitions
Simulation modeling
Developing Disease Modeling Software - MIcro Simulation Tool (MIST). The Reference Model for Disease Progression is my main effort.
Researcher in social simulation or Computational social scientists
in LISC (Inrae), and associate researcher in LAPSCO (UCA) https://www.lapsco.fr/HUET-Sylvie.html
Professor of Shibaura Institute of Technology
Computational social science
especially, evolutionary simulation of a society
My field of interests concerns two axes:
First, epistemology of computational modeling and simulation of complex systems. I am particularly interested in a sociological inquiry about social implication of knowledge derived from complex systems’ study.
Second, assessing the possibilities and limits of studying social complexity with complex systems tools, particularly, agent-based modeling and simulation.
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