Developing a Brain-like Computer with a Memory-Based Architecture

We developed a simple model of an artificial creature equipped with a brain-like control unit. The model was a miniature car loaded with an FPGA (field programmable gate array) to implement its behavior decision-making circuits based on memory-based architecture. In this paper, we demonstrate the learning capabilities of a few of the systems implemented, and consider which of the learning systems had sufficient ability for the tasks at hand.