Simulation of Spatial Behavior Based on an Agent Model in Human-Agent Initial Interaction

To design agent behavior in the initial phase of communication, we propose an agent model that possesses preferences for a relationship with a target. As an internal state, this model considers two relationship preferences with a target: control and acceptance. The agent's spatial behavior, which is represented by a change in its position, is determined based on its internal state and its positional relationship with the target. We investigated the interactions caused by the combination of the internal states of two agents through a computer simulation. We simplified the combinations of the internal states for the agent to reach its preferred position and clarified the position combinations that become unreachable. Based on these results, we discussed the change of the internal state based on rationality. In this model, since the target's internal state is directly expressed by its behavior, the agent can adjust its own internal state based on rationality without estimating the target's internal state.