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Machine Learning, Artifical Inteligence, Multi Agent Simulations
Adapting Agents on Evolving Networks: An evolutionary game theory approach
This paper investigates how collective action is affected when the interaction is driven by the underlying hierarchical structure of an organization, e.g., a company. The performance of collection action is measured as the rate of contribution to a public good, e.g., an organization’s objective.
Using modeling and simulation to support the development of resilient infrastructures
social simulation, Multiagent Systems, Process Algebra, Game Theory
Networks Theory, Applied Microeconomics, Industrial Organization and Social Interactions.
PhD in Physics
One year postdoctoral position at the Institute of Physics at the University of Puebla, Mexico
Two year postdoctoral position at the Institute of Physics, University of Mexico, Mexico.
Working since 2007 as a professor and researcher at the University of Mexico City, Mexico.
Complex systems
Displaying 10 of 444 results for "M Van Den Hoven" clear search