CPC G06N 3/048 (2023.01) | 30 Claims |
1. A computer-implemented or hardware-implemented method of identifying one or more characteristics of an unidentified entity, comprising:
a) providing a network of nodes with input from a plurality of sensors;
b) generating, by each node of the network, an activity level, based on the input from the plurality of sensors;
c) comparing the activity level of each node to a threshold level;
d) based on the comparing, for each node, setting the activity level to a preset value or keeping the generated activity level;
e) calculating a total activity level as the sum of all activity levels of the nodes of the network;
f) iterating a)-e) until a local minimum of the total activity level has been reached; and
g) when the local minimum of the total activity level has been reached, utilizing (170) a distribution of activity levels at the local minimum to identify one or more measurable characteristics of the unidentified entity;
wherein the input changes dynamically over time and follows a sensor input trajectory and
wherein a local minimum of the total activity level has been reached when a sensor input trajectory has been followed with a deviation smaller than a deviation threshold for a time period longer than a time threshold.
|