International Business Machines Corporation
VALIDATION OF GAMING SIMULATION FOR AI TRAINING BASED ON REAL WORLD ACTIVITIES

Abstract:

An approach for identifying training data to exclude from being sent to an AI system from a simulation based on the confidence level that the simulation produced accurate data is disclosed. The approach can generate simulation data to include conditions from historical data captured in the physical world and utilize responses from the physical world as a benchmark. The approach can compare similar simulation and benchmark responses to generate a confidence level for the simulation data and exclude data with low level of confidence from flowing to the AI system training.