AN AUTOMATON WITH BRAIN‐LIKE PROPERTIES

Abstract

Starting with a Moore‐type automaton the bases for a brain‐like sequential machine are laid down. The problem is considered both at the level of a physical structure and a state structure. The logic is cellular and variable to accommodate learning and generalization. It is shown that this structure can “learn to live” in a consistent environment. Concepts such as recognition and recall of environmental events, short‐term memory, data generation (analogous to speech production) and attention are shown to be natural attributes of the model.

Citation

ALEKSANDER, I. and FAIRHURST, M.C. (1972), "AN AUTOMATON WITH BRAIN‐LIKE PROPERTIES", Kybernetes, Vol. 1 No. 1, pp. 11-18. https://doi.org/10.1108/eb005292