learning process of purely and impurely altruistic agents and find that in both cases the contribution level converges towards … corresponds to findings from experiments on voluntary contribution to a public good. Crucial determinants of the learning process …

We analyze boundedly rational learning in social networks within binary action environments. We establish how learning … induces learning (i.e., convergence to the optimal action for every agent in every connected network) only in highly … asymmetric environments. In all other environments learning fails in networks with a diameter larger than four. Finally, we …

A learning rule is uncoupled if a player does not condition his strategy on the opponent's payoffs. It is radically …, radically uncoupled learning rules whose period-by-period behavior comes arbitrarily close to Nash equilibrium behavior in any …

This essay links some of my own work on expectations, learning and bounded rationality to the inspiring ideas of Jean …-Michel Grandmont. In particular, my work on consistent expectations and behavioral learning equilibria may be seen as formalizations of … JMG's ideas of self-fulfilling mistakes. Some of our learning-to-forecast laboratory experiments with human subjects have …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 … order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in …

learning process of individuals with different preference types (more and less pro-social) and coarse information regarding the …

This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether …