We investigate the information processing in an adaptive behavior of a chaos cellular neural network. In our model， we assume that the cellular neural network controls a car and gets a suitable adaptive behavior to chase a moving target. We confirm that the cellular neural network gets a chasing behavior through the characteristic adaptive mechanism. Our adaptive mechanism is that the cellular neural network explores a suitable ordering state by changing the state of the system. In the adaptive behavior， an analysis of the dynamics of the system is investigated from the relationship between input and output signals.