/Agent Query Techniques For Multi-agent Simulator Platform
Abstract

A platform for multi-stage simulations in a multi-agent simulator computing system utilizes context sharing across simulation sessions. The platform generates agents based on input traits, executes simulation sessions to generate outputs, and persists outputs and agent state information (e.g., metadata associated with simulation sessions). A graphical user interface displays simulation outputs. In response to user interaction with a particular output item (e.g., a user follow-up query or inquiry into simulation traceability), the platform identifies the associated agent using persisted state information and performs additional operations, which can include generation and execution of additional queries for follow-up simulations.

Full Text

What is claimed is:

A platform for multi-stage simulations in a multi-agent simulator computing system utilizes context sharing across simulation sessions. The platform generates agents based on input traits, executes simulation sessions to generate outputs, and persists outputs and agent state information (e.g., metadata associated with simulation sessions). A graphical user interface displays simulation outputs. In response to user interaction with a particular output item (e.g., a user follow-up query or inquiry into simulation traceability), the platform identifies the associated agent using persisted state information and performs additional operations, which can include generation and execution of additional queries for follow-up simulations.
Timeline
Filed
06/12/2026
Published
10/01/2026
Granted
Not Available
IPC Codes(7)
G06N 3/006:based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
G06F 9/451:Execution arrangements for user interfaces
G06F 30/27:using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model