Quantitative Argumentation

Quantitative argumentation focuses on formally representing and evaluating arguments using numerical measures of strength or acceptability, aiming to enhance the transparency and reliability of reasoning processes. Current research emphasizes applications in diverse fields, including legal dispute resolution, algorithmic fairness assessment, and explainable AI, employing frameworks that integrate knowledge representation with quantitative reasoning methods. These approaches leverage techniques like fuzzy logic and sparse argumentative explanations to improve the interpretability of complex systems and decisions, ultimately contributing to more robust and trustworthy AI and decision-making processes across various domains.