The article discusses how economic routines emerge from adaptive learning processes, rather than being based on fixed assumptions. The researchers use Genetic Programming to evolve decision-making strategies in oligopolistic markets, balancing existing knowledge with the search for better procedures. The results align with real-world economic behavior, showing that equilibria in such markets are not always predictable or computable.