Virtual avatar generation and simulation for self-improvement applications

A data processing system adapted for virtual avatar generation and simulation, the system comprising:

• a host computing platform comprising one or more computers, each with memory and one or processing units including one or more processing cores;
• a self-awareness computer program executing in the host computing platform;
• and,
• an avatar generation module comprising computer program instructions enabled while executing in the memory of at least one of the processing units of the host computing platform to perform:
• registering an end user in the self-awareness computer program;
• establishing a communicative coupling to multiple different heterogeneous data sources and retrieving over each said coupling, characterizing data of the end user;
• transforming the characterizing data into at least a portion of a knowledge graph disposed in the memory and in association with the end user;
• instantiating an avatar in the self-awareness computer program in correspondence to the end user;
• formulating an avatar generation prompt requesting a parameterization the avatar and including both a reference to the knowledge graph and also a reference to the avatar, transmitting the formulated prompt to a large language model (LLM) and receiving the requested parameterization from the LLM in response to the transmitted avatar generation prompt;
• parameterizing the avatar with the received parameterization;
• and,
• directing the self-awareness program to simulate the parameterized avatar with respect to a scenario artifact defining a scenario for the end user.

A computing device comprising a non-transitory computer readable storage medium having program instructions stored therein, the instructions being executable by at least one processing core of a processing unit to cause the processing unit to perform virtual avatar generation and simulation, by:

• registering an end user in a self-awareness computer program;
• establishing a communicative coupling to multiple different heterogeneous data sources and retrieving over each said coupling, characterizing data of the end user;
• transforming the characterizing data into at least a portion of a knowledge graph in association with the end user;
• instantiating an avatar in the self-awareness computer program in correspondence to the end user;
• formulating an avatar generation prompt requesting a parameterization the avatar and including both a reference to the knowledge graph and also a reference to the avatar, transmitting the formulated prompt to a large language model (LLM) and receiving the requested parameterization from the LLM in response to the transmitted avatar generation prompt;
• parameterizing the avatar with the received parameterization;
• and,
• simulating the parameterized avatar in the self-awareness computer program with respect to a scenario artifact defining a scenario for the end user.