Encoded hierarchy representation and method of generating same

A method, implemented in a computing system comprising at least one hardware processor and at least one memory coupled to the at least one hardware processor, the method comprising:

• receiving structured data representing a plurality of data elements arranged in a hierarchy having a plurality of levels, elements of the plurality of elements being parent nodes, where a parent node has at least one child node at a lower level of the hierarchy than a parent node, or leaf nodes, wherein a leaf node is not a parent node;
• defining at least one parent node value representing a level in the hierarchy of the parent node;
• defining at least one leaf node value representing a level in the hierarchy of the at least one leaf node;
• and
• generating a flattened representation of the hierarchy, the generating the flattened representation comprising, for respective elements of the plurality of elements that are parent nodes, multiplying a value associated with a respective element of the plurality of elements that are parent nodes by the at least one parent node value and multiplying a value associated with a respective element of the plurality of elements that are leaf nodes by the at least one leaf node value, wherein the multiplying generates for each respective element a depth-specific level-weighted numerical value that encodes a hierarchical depth of the respective element and preserves hierarchical context in a flattened vector representation provided as input to a machine learning model or inference engine to enable generation of control outputs for routing or resource-assignment decisions;
• storing or otherwise preparing the flattened representation for input to a machine learning model or inference engine;
• providing the flattened representation as input to a machine learning model or inference engine, the machine learning model being trained, or the inference engine being configured, to generate a control output from the input, the control output being produced by evaluating the level-weighted numerical values of the flattened representation to determine routing or resource-assignment decisions, the control output specifying a configuration of routing or resource-assignment behavior within a computerized-execution environment;
• configuring, based on the control output and without requiring user intervention, at least one of:
• a machine operation, a processing resource assignment, an operation sequence, or an input-to-operation allocation, the configuration represented in at least one configuration data structure maintained within the computerized-execution environment;
• and
• initiating execution of the configured machine operation, an operation using the configured processing resource assignment, an operation of the configured operation sequence, or an operation using the configured input-to-operation allocation, within the computerized-execution environment, the initiating comprising either automated performance by a processing resource or generation of a system-directed work instruction for performance using the configured processing resource.

One or more computer-readable storage media comprising:

• computer-executable instructions that, when executed by a computing system comprising at least one hardware processor and at least one memory coupled to the at least one hardware processor, cause the computing system to receive a set definition, the set definition comprising a first plurality of elements;
• computer-executable instructions that, when executed by the computing system, cause the computing system to receive a first set comprising a second plurality of elements, the second plurality of elements being a subset of the first plurality of elements;
• computer-executable instructions that, when executed by the computing system, cause the computing system to generate a representation of the first set, the generating a representation comprising, for elements of the of the first plurality of elements, assigning a first value to elements of the first plurality of elements that have a corresponding element in the elements of the second plurality of elements and assigning a second value, different than the first value, to elements of the first plurality of elements that do not have a corresponding element in the elements of the second plurality of elements;
• computer-executable instructions that, when executed by the computing system, cause the computing system to, for elements of the first plurality of elements having a corresponding element in the elements of the second plurality of elements, receive a respective quantity value;
• computer-executable instructions that, when executed by the computing system, cause the computing system to, for elements of the first plurality of elements having a corresponding element in the elements of the second plurality of elements, add the respective quantity value to the first value to generate a modified representation;
• computer-executable instructions that, when executed by the computing system, cause the computing system to store or otherwise prepare the modified representation for input to a machine learning model or inference engine;
• computer-executable instructions that, when executed by the computing system, cause the computing system to provide the modified representation as input to a machine learning model or inference engine, the machine learning model being trained, or the inference engine being configured, to generate a control output from the input, the control output specifying a configuration of routing or resource-assignment behavior within a computerized execution environment;
• computer-executable instructions that, when executed by the computing system, cause the computing system to configure, based on the control output and without requiring user intervention, at least one of:
• a machine operation, a processing resource assignment, an operation sequence, or an input-to-operation allocation, the configuration controlling execution behavior within a computerized execution environment;
• and
• the computing system to initiate execution of the configured machine operation, an operation using the configured processing resource assignment, an operation of the configured operation sequence, or an operation using the configured input-to-operation allocation, within the computerized execution environment, the initiating comprising either automated performance by a processing resource or generation of a system-directed work instruction for performance using the configured processing resource.