Towards a Neural Model of Mental Simulation

We develop a general neural network-based architecture for the process of mental simulation, initially treated at a somewhat abstract level. To develop the theory further it is shown how the theory can handle observational learning as a specific form of mental simulation: simulations are presented of simple paradigms and results obtained on children undergoing tests on observational learning. Questions of learning and other aspects are treated in a discussion section.