Bruce McGough (Univeristy of Oregon) presented new work on alternative expectations mechanisms agents may use to solve infinite dimensional dynamic programming problems. Under certain fairly weak observability and controllability conditions, agents can learn to optimally solve their Bellman system in the limit. It turns out this solution is equivalent to the solution obtained by classic rational agents solving their Bellman system.