It is known that stochastic automata can be applied to describe the behavior of a decision maker or manager in the condition of uncertainty. This paper discusses learning behaviors of stochastic automata under unknown nonstationary multi-teacher environment. The consistency of sequential decision making procedures is proved under some mild conditions
