Patent Document ID: 8396582
Application ID: 12697121

Base Claim:
1. An autonomous biologically based learning system, comprising: a manufacturing tool that produces an asset; a drift component that modifies a manufacturing recipe processed by the manufacturing tool at least in part using a set of driving variables and a predetermined probability distribution function to generate one or more adjusted manufacturing recipes for the asset, wherein the set of driving variables determine a particular sequence to modify a set of recipe parameters associated with the manufacturing recipe; an objective autonomous learning engine that infers one or more functions for the manufacturing tool based on the modified manufacturing recipe processed by the manufacturing tool, wherein the one or more functions predict asset output metrics for the produced asset; and an autonomous optimization engine that extracts a set of updated recipe parameters from a set of input measurements and the one or more inferred functions to generate an adjusted recipe within a predefined tolerance of a target value for the asset output metrics.

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Claim 4:
4. The system of claim 1 , wherein the drift component includes a formatter component that generates a recipe genealogy that includes at least one of the one or more adjusted manufacturing recipes, input material data linked to respective adjusted manufacturing recipes, output data related to respective adjusted manufacturing recipes, or a set of operational conditions for the manufacturing tool associated with respective adjusted manufacturing recipes.