Complex Systems

My main research focus is the interconnection between Complex Systems and Economics: trying to understand dynamic economic issues through systems simulations and networks.

I’m also interested in complex urban systems models and their integration with Input-Output models for disaster analysis.

Main Research Interests:

  • Disaster Analysis
  • Negative Urban Growth
  • Land-Use Models

Interconnected to:


  • Integrating Economics and Psychology in Complex Environments: a new paradigm?
    Adviser: Ana Maria A. F. Bianchi (University of Sao Paulo, Brazil)
    Year: 2010

    Abstract: Due to limitations on resources availability, agents have to decide how to transform, distribute and consume inputs in order to attend society’s needs. This is the primary focus of microeconomics: how efficiently allocate scarce resources between alternative ends. To accomplish this goal, economic theory relies on models which have several simplifications regarding human behavior in order to apprehend and analyze the economic dynamics and forecast its implications. Neoclassical School postulates strong hypothesis about motivations and interactions of economic agents. These are source of several criticisms from other economic schools and psychologists who do not find parallels between idealized neoclassic economic agents and empirical behavioral patterns. Hence, this study seeks to integrate psychological aspects of human behavior into economic analysis through agent based modeling. It is proposed a simulation model based on complexity theory in order to analyze market price formation and fluctuation, and in which way different cognitive mechanisms can affect its dynamics.

References on the Topic

  • Simon, H. (1996). The Sciences of the Artificial. Cambridge: The MIT Press. (Great book, provide good insights specially to broader one’s vision to interdisciplinary issues. Cover complexity aspects in several areas besides Economics.)
  • Prado, E. (2006). Microeconomia Reducionista e Microeconomia Sistêmica. Revista Nova Economia,  16(2), p. 303-322. (PORTUGUESE)
  • Railsback, S., Lytinen, S., and Jackson, S. (2006). Agent-based Simulation Platforms: Review and Development Recommendations. Simulation, 82(9), p. 609-623. (Review of different platforms available for simulation models. Discuss advantages/disadvantages of each one and best fit according to the type of simulation needed.)
  • Page, S., and Miller, J. (2007). Complex Adaptive Systems: An Introduction to Computational Models of Social Life. New Jersey: Princeton University Press. (Material for an introductory course on complex systems, covering from basic definitions of complexity to a overview of several models)
  • Zacharias, G., Macmillan, J., and van Hemel, S. (Ed.) (2008). Behavioral Modeling and Simulation. Washington D.C.: The National Academies Press.
  • Rosser, J., Cramer, K., and Madison, J. (2009). Handbook of Research on Complexity. Edward Edgar Pub. (It presents several interfaces of economics and complex systems in micro, macro and finance.)
  • Batty, M. (2013). The New Science of Cities. The MIT Press.
  • Arthur, W. (2014). Complexity and the Economy. Oxford University Press.

Journals and Websites