US 12,488,201 B2
Integration of machine learning models with dialectical logic frameworks
Alanas Petrauskas, Vilnius (LT)
Filed by Alanas Petrauskas, Vilnius (LT)
Filed on Oct. 28, 2024, as Appl. No. 18/929,555.
Application 18/929,555 is a continuation in part of application No. 18/677,875, filed on May 30, 2024, granted, now 12,175,372.
Application 18/677,875 is a continuation in part of application No. 18/631,009, filed on Apr. 9, 2024, granted, now 12,099,802, issued on Sep. 24, 2024.
Claims priority of provisional application 63/598,074, filed on Nov. 11, 2023.
Prior Publication US 2025/0156654 A1, May 15, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/40 (2020.01)
CPC G06F 40/40 (2020.01) 20 Claims
OG exemplary drawing
 
1. A system for electronically performing a dialectic causality analysis, the system comprising one or more processing devices and one or more non-transitory storage devices that store instructions, wherein execution of the instructions by the one or more processing devices causes the one or more processing devices to perform functions including:
providing access to a dialectic logic engine that is configured to store and execute programming logic for electronically performing dialectical analyses;
receiving, by the dialectic logic engine, an input string identifying a concept parameter;
initiating a first communication exchange between the dialectic logic engine and a language model to derive a plurality of archetypical association parameters corresponding to the concept parameter;
storing the plurality of archetypical association parameters in a mapping schema, wherein the mapping schema defines relationships among or between the plurality of archetypical association parameters;
initiating a second communication exchange between the dialectic logic engine and the language model to derive a plurality of supplemental parameters based, at least in part, on the plurality of archetypical association parameters;
storing the plurality of supplemental parameters in the mapping schema, wherein the mapping schema defines relationships among the plurality of supplemental parameters and the plurality of archetypical association parameters; and
generating one or more dialectic causality outputs based, at least in part, on the mapping schema, the plurality of archetypical association parameters, and the plurality of supplemental parameters.