Michael Harre

Dr. Michael Harre is a researcher in the Department of CS at The University of Sydney. His research interests include statistical mechanics, physical combinatorics, mathematical aspects of condensed matter, complex systems, dynamical systems in applications, microeconomic theory, financial mathematics, financial economics, and economic theory. He is currently involved in projects that apply economic game theory and psychological concepts such as 'Theory of Mind' and 'Introspection' to develop more adaptive artificial intelligence. His work includes simulating psychological factors in housing markets and exploring the psychology of games and economic system tipping points.

Michael Harré is a Senior Lecturer in Complex Systems at The University of Sydney, specializing in artificial intelligence, complexity economics, game theory, AI psychology, and nonlinear systems. His research explores information flow in complex systems, socio-economic dynamics, and the interplay between social networks and mental health. Harré's work includes studies on phase transitions in financial markets, hysteresis in noncooperative games, and the role of social influence in real estate markets. He employs agent-based models and information theory to analyze emergent behaviors in socio-economic systems, emphasizing the intersection of computational methods with psychological and economic theories.