Adaptive Macroscopic Properties of Social Systems as the Outcome of Collective Computation

Jessica Flack photo 

Wednesdays@NICO Seminar, Noon, April 3 2013, Chambers Hall, Lower Level

Prof. Jessica Flack, University of Wisconsin and Santa Fe Institute


I will discuss a set of computational techniques, called Inductive Game Theory, for extracting strategic decision-making rules from time-series data and constructing adaptive social circuits. These circuits, which capture the collective implementation of the strategies, serve as hypotheses about how microscopic dynamics generate adaptive macroscopic properties of social organization.


Jessica Flack is Co-Director of the Center for Complexity and Collective Computation in the Wisconsin Institute for Discovery at the University of Wisconsin, Madison and External Professor at the Santa Fe Institute.  Before Madison, Jessica was a Professor at the Santa Fe Institute, where she was in residence for nine years.  Jessica's research focuses on coarse-graining and collective computation in nature and their role in the evolution and development of hierarchical, multi-scale structure in biological systems.  A goal of her research program is to discover common algorithmic principles underlying the formation of collectives ranging from groups of cells forming tissues to groups of macaques forming societies, to groups of online gamers forming virtual societies. More information can be found here at Professor Flack's website.