Abstract
Artificial Cellular Neural Network (ACNN) is a kind of Neural Networks whose connections of its each unit only exist between itself and its neighborhood units. ACNN has several merits that layered Neural Network and mutually connected Neural Network do not have. For example, a unit in the ACNN does not have to connect a far unit, so it is easy to integrate units. Besides, the amount of data that is required to represent ACNN is less than that of fully interconnected Neural Network. The former is in proportion to the number of total units of the ACNN, though the latter is in proportion to the square of the number of total units of the fully interconnected Neural Network. In this paper, we introduce “Chase Game” to demonstrate an ability of ACNN. There are two agents in the “Chase Game.” One is a chaser, and the other is a runaway. We programmed the runaway's escape algorithms. On the contrary, the chaser's action is determined by a three dimensional ACNN. We used Genetic Algorithm (GA) in optimizing three-dimensional ACNN that can capture the runaway in short turns. And we confirmed that the chaser showed intelligent pursuit actions.
