ADimoska/SOMASExtended
Dec 2024 – Dec 2024
1 Month active
Languages Used
GoPython
Technical Skills
AI strategy developmentAgent-Based ModelingAgent-based modelingAlgorithmsBackend DevelopmentData Structures
Matthieu Bou
PROFILE
Matthieu Bou
Matthieu Bou developed governance and AI-assisted features for the ADimoska/SOMASExtended repository, focusing on transparent team formation and allocation. He established a centralized Area of Agreement governance framework with auditable processes, integrating an IRV-based voting system and strategy-based punishments to ensure fair decision-making. Using Go and Python, Matthieu introduced a machine learning agent with a dice-rolling strategy, memory-based scoring, and lie-detection to enhance strategy integrity. An auditing and training loop was implemented to monitor for manipulation or cheating in team contributions. The work demonstrated depth in AI strategy development, agent-based modeling, and backend system design within a one-month period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
1,580
Activity Months1
Your Network
12 people
Work History
December 2024
6 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for ADimoska/SOMASExtended: Delivered governance and AI-assisted capabilities to enhance team formation, allocation transparency, and auditability. Focused on establishing a centralized AoA governance framework with auditable processes and a machine-learning agent to improve decision-making and detect manipulation. Resulting changes lay the groundwork for compliant, fair, and scalable team allocation and strategy optimization.
6 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for ADimoska/SOMASExtended: Delivered governance and AI-assisted capabilities to enhance team formation, allocation transparency, and auditability. Focused on establishing a centralized AoA governance framework with auditable processes and a machine-learning agent to improve decision-making and detect manipulation. Resulting changes lay the groundwork for compliant, fair, and scalable team allocation and strategy optimization.
December 2024
Activity
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Quality Metrics
Correctness81.8%
Maintainability80.0%
Architecture78.4%
Performance66.6%
AI Usage40.0%
Skills & Technologies
Programming Languages
GoPython
Technical Skills
AI strategy developmentAgent-Based ModelingAgent-based modelingAlgorithmsBackend DevelopmentData StructuresGame AIGame theoryGoGo DevelopmentGo ProgrammingMachine LearningNeural NetworksReinforcement LearningSystem Design
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