FRACTAL COGNITIVE COMPUTING NODE, COMPUTER-IMPLEMENTED METHOD FOR LEARNING PROCEDURES, COMPUTATIONAL COGNITION CLUSTER AND COMPUTATIONAL COGNITION ARCHITECTURE

摘要

A fractal cognitive computing node, a computer-implemented method for learning procedures, a computational cognition cluster, and a computational cognition architecture are provided. The FCN comprises a first input to receive a first input signal, a first output to provide a first output signal, a second input to receive a second input signal and a third input signal to receive a SA parameter. A memory of the FCN stores a collection of items. A processing unit implements a function that compares a combination of said first and second input signals with the stored collection and calculates a similarity measure for each compared item. The first output signal is calculated as a selection of the compared items having a similarity measure greater than said SA parameter. If the selection is empty, a new item is added to said memory. If not empty, the first output signal is set to said selection.