The EGG has 3 themes: (i) theoretical cognitive science and mathematical psychology, (ii) theory of evolutionary processes and complexity, and (iii) evolutionary game theory. We use analytic and simulation techniques to model and answer questions in all 3 disciplines. Of particular interest is harnessing some of the powerful tools available to theoretical computer science and physics. Our specifics interest include: the interplay of learning, development, and evolution; evolution of ethnocentrism; mutation forces as a driver of evolution; games on social networks; active learning; and models of decision making.
This blog launched as an extension of the earlier evolutionary game theory reading group at McGill University. It is organized by Artem Kaznatcheev and collaborates closely with Thomas R. Shultz‘s Laboratory for Natural and Simulated Cognition. The blog presents paper reviews, introductions to tools, and preliminary work. Our reading concentrates on papers that apply nice analytic or computational models to questions in EGT.