Learning by trial and error.
A person learns by trial and error if he occasionally tries out new strategies, rejecting choices that are erroneous in the sense that they do not lead to higher payoffs. In a game, however, strategies can become erroneous due to a change of behavior by someone else. We introduce a learning rule in which behavior is conditional on whether a player experiences an error of the first or second type. This rule, called interactive trial and error learning, implements Nash equilibrium behavior in a...Expand abstract
- Local pid:
- Deposit date:
- Copyright date:
If you are the owner of this record, you can report an update to it here: Report update to this record