Abstract
A system and method for training autonomous agents through interaction-based validation is disclosed. The system includes a personality definition component that ingests behavioral specifications to synthesize personality parameters, and a training orchestration agent that conducts structured adversarial interactions with a trainee agent to validate behavioral alignment. An evaluation component detects systematic deviations through semantic analysis and pattern recognition across the interactions, distinguishing between isolated incidents and systematic misalignments. An interaction recording system captures the training exchanges for analysis, while a parameter refinement interface enables human oversight of behavioral modifications. The system addresses challenges in training agents to embody specific personality characteristics, including detecting and resolving conflicts where learned behaviors violate explicit guidelines.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Zavesky, Eric, "SYSTEM AND METHOD FOR INTERACTION-BASED TRAINING OF AUTONOMOUS AGENTS", Technical Disclosure Commons, (June 30, 2026)
https://www.tdcommons.org/dpubs_series/10676