Systems and methods for generating an extensible digital formulation network model and implementing an intelligent formulation using the formulation network model

Abstract

A method and system for an accelerated design of a virtual product formulation based on an expert-enhanced quantitative formulation network includes sourcing qualitative expert formulation; creating a qualitative formulation network; extracting qualitative network-expansion data based on a category associated with a target product associated with the qualitative formulation network, creating a second set of network components including formulation variable nodes and formulation edge connections; integrating the second set of network components into the qualitative formulation network; transforming the qualitative formulation network integrated with the second set of network components to a quantitative formulation network; designing at least part of a virtual product formulation based on the quantitative formulation network; and generating a target formulation proposal that likely satisfies the target formulation objective based on executing the virtual product formulation as initialized.

We claim: 
     
         1 . A computer-implemented method comprising:
 at a remote formulation service that is implemented by a network of distributed computing systems:
 creating a qualitative formulation network based on deriving from qualitative expert formulation data a set of network components including a plurality of distinct formulation variable nodes representing distinct formulation variables, a plurality of formulation edge connections representing distinct contributory relationships between the distinct formulation variable nodes, wherein creating the qualitative formulation network includes:
 mapping in an n-dimensional space the plurality of distinct formulation variable nodes in a relation to a target formulation objective, and 
 
 extracting, from a corpus of formulation data, qualitative network-expansion data based on a category associated with a target product associated with the qualitative formulation network, wherein the qualitative network-expansion data, when meshed into the qualitative formulation network, increases one or more of available formulation variables and available formulation edge connections within the qualitative formulation network; 
 transforming the qualitative formulation network to a quantitative formulation network by:
 (i) converting a distinct qualitative value associated with each of the plurality of distinct formulation variable nodes of the qualitative formulation network to a distinct quantitative node value; 
 (ii) converting a distinct qualitative value associated with each of the plurality of formulation edge connections of the qualitative formulation network to a distinct quantitative edge value; 
 
 designing at least part of a virtual product formulation based on the quantitative formulation network; and 
 generating a target formulation proposal that likely satisfies the target formulation objective based on executing the virtual product formulation as designed. 
   
     
     
         2 . A computer-implemented method comprising:
 creating a qualitative formulation network based on deriving from the qualitative expert formulation data a set of network components including a plurality of distinct formulation variable nodes representing distinct formulation variables and a plurality of formulation edge connections representing distinct contributory relationships between formulation variables, wherein creating the qualitative formulation network includes:
 mapping the plurality of distinct formulation variable nodes around a target formulation objective, 
   extracting, from a corpus of formulation data, qualitative network-expansion data based on a category associated with a target product associated with the qualitative formulation network;   integrating a second set of network components into the qualitative formulation network for expanding the qualitative formulation network based on the qualitative network-expansion data;   transforming the qualitative formulation network integrated with the second set of network components to a quantitative formulation network;   setting at least part of a virtual product formulation based on the quantitative formulation network; and   generating a target formulation proposal that likely satisfies the target formulation objective based on executing the virtual product formulation as initialized.   
     
     
         3 . A computer-program product embodied in a non-transitory machine-readable storage medium storing computer instructions that, when executed by one or more processors, perform operations comprising:
 creating a qualitative formulation network based on deriving from the qualitative expert formulation data a set of network components including a plurality of distinct formulation variable nodes representing distinct formulation variables and a plurality of formulation edge connections representing distinct contributory relationships between formulation variables, wherein creating the qualitative formulation network includes:
 mapping the plurality of distinct formulation variable nodes around a target formulation objective, 
   extracting, from a corpus of formulation data, qualitative network-expansion data based on a category associated with a target product associated with the qualitative formulation network;   integrating a second set of network components into the qualitative formulation network for expanding the qualitative formulation network based on the qualitative network-expansion data;   transforming the qualitative formulation network integrated with the second set of network components to a quantitative formulation network;   setting at least part of a virtual product formulation based on the quantitative formulation network; and   generating a target formulation proposal that likely satisfies the target formulation objective based on executing the virtual product formulation as initialized.