
Developed and integrated the Team AoA System with Cheating Detection into the ADimoska/SOMASExtended repository, focusing on enhancing security and fairness for Team 6 within the environment server. Leveraging Go and skills in agent-based modeling and backend development, the work replaced a placeholder system with a robust anti-cheat pipeline that improves data quality for analytics and downstream reporting. The implementation included a correction to AoAID mapping, ensuring accurate association and enforcement of team configurations. This feature addressed both system design and game theory considerations, resulting in a more reliable and enforceable area of attention mechanism for multi-agent environments.
December 2024: Delivered the Team AoA System with Cheating Detection (Area of Attention) and completed the AoAID configuration fix for Team 6. Integrated into the environment server, replacing the placeholder for Team 6 and establishing a robust anti-cheat pipeline. The changes improve security, fairness, and data quality for analytics and downstream reporting.
December 2024: Delivered the Team AoA System with Cheating Detection (Area of Attention) and completed the AoAID configuration fix for Team 6. Integrated into the environment server, replacing the placeholder for Team 6 and establishing a robust anti-cheat pipeline. The changes improve security, fairness, and data quality for analytics and downstream reporting.

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