Structured Vector Addition System - A Simulated Brain Model for Creative Activity

In this paper we introduce an extended vector addition system, i.e., a structured vector addition system. The vector addition system (in short, VAS) is proposed by R. Karp et al. as a parallel processing model, but the VAS seems to be far from the neural network. However it is an excellent "macro" model for the brain behavior, especially, for the emotional behavior. The original VAS is weak to represent the control mechanism, and therefore, we propose a structured VAS (in short, SVAS),where the control mechanism plays a role of simulating the dynamical behavior of human emotion, especially, with the state transition of vectors.

We will discuss the inductive learning and the anticipation on SVAS.