This paper deals with the advantages of so-called hybrid systems, that is, systems consisting of two or more different models. We present here two cellularautomatacoupledwithartificialneuralnetworks(neuralCA).The first example is the model of a traffic regulating system. The cells of the CA represent different cars, and a certain neural net regulates the traffic. The secondexample showsa modelof cognitivelearning independencyof social contexts. The cells of a CA consist of two types of neural networks. First results demonstrate the fruitfulness of this approach.
['Christina Stoica-Klüver', 'Jürgen Klüver']
Simulation of Traffic Regulation and Cognitive Developmental Processes: Coupling Cellular Automata with Artificial Neural Nets