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k-level Reasoning: A Dynamic Model of Game Learning (2013)

MPhys Physics master's research thesis, focusing on developing agent-based models of game learning and behavioral dynamics analysis and extending these to include k-levels of recursive bounded rationality. Types of attractor (chaotic, stable point, limit cycle) governing resulting dynamics were characterized through largest Lyapunov exponents and variance of evolving mixed strategy.

Supervised by Dr. Tobias Galla, School of Physics and Astronomy, University of Manchester

Work in collaboration with David Lecutier

Thesis

Short presentation