Game-theoretic models of learning are hard to study even in the laboratory setting due to econometric and practical concerns (like the limited length of an experimental session).In particular, as the simulations by (Salmon, 2001) show, in a cross-model (or "blind'') testing of several models,...

In this paper, we develop a novel learning model that combines directional learning and automata reinforcement. We show that directional learning can be defined on a cyclic order in addition to its original domain (interval) and that pattern learning by reinforcing parts of automata [Chernov,...