US 12,406,027 B2
System, method, and product for transparently encapsulated artificial intelligence
Alan Bennett Sherr, Cambridge, MA (US)
Filed by Alan Bennett Sherr, Cambridge, MA (US)
Filed on Dec. 23, 2024, as Appl. No. 18/999,280.
Application 18/999,280 is a continuation of application No. 18/808,143, filed on Aug. 19, 2024, granted, now 12,210,592.
Application 18/808,143 is a continuation of application No. 18/538,519, filed on Dec. 13, 2023, granted, now 12,099,576, issued on Sep. 24, 2024.
Prior Publication US 2025/0200144 A1, Jun. 19, 2025
Int. Cl. G06F 16/00 (2019.01); G06F 18/241 (2023.01); G06V 10/44 (2022.01)
CPC G06F 18/241 (2023.01) [G06V 10/454 (2022.01)] 42 Claims
OG exemplary drawing
 
1. A computer-implemented method for processing a plurality of data entries in a computer databank persisted in at least one hardware medium, each entry representing a corresponding specific one of a plurality of significant patterns, the method comprising:
(a) priming a first subset of the plurality of data entries based on a first objective of a plurality of objectives, the first objective comprising identifying a first significant pattern of at least one of the plurality of data entries, the priming the first subset comprising altering, in the computer databank, at least one activation attribute of each first subset data entry to any of at least one distinguishing state of activation;
(b) identifying within processed data a first set of at least one processed significant pattern;
(c) priming a second subset of the plurality of data entries, each data entry in the second subset representing a corresponding specific one of the first set of at least one processed significant pattern, the priming the second subset comprising altering, in the computer databank, at least one activation attribute of each second subset data entry to any of at least one distinguishing state of activation;
(d) determining whether the first objective has been (d) accomplished, based at least in part on states of activation attributes of data entries belonging to both the first and second subsets of the plurality of data entries;
(e) in response to determining that the first objective has been accomplished, not performing step (f); and
(f) in response to determining that the first objective has not been accomplished, recursively processing significant patterns of significant patterns by:
(i) recursively identifying within processed data additional sets of processed significant patterns;
(ii) recursively priming additional subsets of the plurality of data entries, each one additional data entry representing a corresponding specific one significant pattern of the corresponding additional sets of processed significant patterns, the priming the additional subsets comprising altering, in the computer databank, at least one activation attribute of each additional subset data entry to any of at least one distinguishing state of activation;
(iii) recursively determining whether the first objective has been accomplished, based at least in part on the states of activation attributes of data entries belonging to the first subset and at least one of the second subset and the additional subsets of the plurality of data entries; and
(iv) terminating the recursive processing in response to determining that at least one condition has been satisfied in the group of conditions consisting of: the first objective has been accomplished, the first objective is to be reformulated, the first objective is to be reassessed, the first objective is to be postponed, and the first objective is to be abandoned.