Pseudo-genetic meta-knowledge artificial intelligence systems and methods

A method of managing an autonomous actor network, the method comprising:

• obtaining, by a network management computing system comprising computer hardware, metadata information associated with the autonomous actor network and autonomous actors included therein;
• associating, by the network management computing system, a self-assessment identifier with an autonomous actor, the self-assessment identifier indicative of:
• metadata elements stored by the autonomous actor,
• a quantity of metadata information for each metadata element stored by the autonomous actor, and
• a relationship between the metadata elements for the autonomous actor and the quantity of metadata information stored for each metadata element, wherein the relationship includes a threshold result;
• and
• generating, by the network management computing system, an assessment value for the autonomous actor based on the obtained information and the self-assessment identifier, wherein generating the assessment value includes comparing the threshold result to a combination of the metadata elements for the autonomous actor and the quantity of metadata information stored for each metadata element in accordance with an identified process.

A non-transitory computer-readable storage medium comprising instructions executable by a processor of an apparatus to cause the apparatus to:

• obtain metadata information associated with an actor network and autonomous actors included therein;
• associate a self-assessment identifier with an autonomous actor, the self-assessment identifier indicative of:
• metadata elements stored by the autonomous actor,
• a quantity of metadata information for each metadata element stored by the autonomous actor, and
• a relationship between the metadata elements for the autonomous actor and the quantity of metadata information stored for each metadata element, wherein the relationship includes a threshold result;
• and
• generate an assessment value for the autonomous actor based on the obtained information and the self-assessment identifier, wherein generating the assessment value includes comparing the threshold result to a combination of the metadata elements for the autonomous actor and the quantity of metadata information stored for each metadata element in accordance with an identified process.