  Our cognition is structuring the informational layer, consisting of
perception, anticipation, and action, and it should also be sustained on a
physical basis. In this paper, we aim to explore the relationship between the
informational layer and the physical layer from a dynamical systems point of
view. As an example, the fluctuation of choice is investigated by using a
simulated agent. By setting a T-maze, the agent should choose one arm of the
maze if a corresponding token is presented. We prepared two types of tokens,
corresponding to the left and right arm of the maze. After training the network
of the agent to successfully choose the corresponding arm, we presented two
tokens simultaneously to the agent and observed its behavior. As a result, we
found several behaviors, which are difficult to speculate on from a case in
which only a single token is presented to the agent. Detailed analyses and the
implications of the model are discussed.
