Local optimization strategies lead to emergence of equilibrium in societal interactions.
The article discusses how individuals in a system might use trial and error to find stable strategies in games of security and property struggles. It questions the assumption that people always make the best decisions and explores the idea that local optimization rules could lead to equilibrium. The research suggests that in complex situations, it may be more realistic to think of individuals as using trial and error rather than calculating optimal strategies.