NeurosciencebioRxivPreprint
The computation of strategic learning in repeated social competitive interactions: Learning sophistication, reward attractor points and strategic asymmetry
Thibaud Griessinger, Giorgio Coricelli, Mehdi Khamassi
This paper investigates strategic learning in social interactions, showing that sophisticated belief-based learning leads to more accurate beliefs and convergence toward game optimality, influenced by game structure and individual cognitive capacity.