Gradual Semantics

Gradual semantics in argumentation frameworks assign numerical scores to arguments, reflecting their acceptability based on interactions with other arguments and potentially initial weights. Current research focuses on developing and analyzing different gradual semantics, including weighted models, investigating the inverse problem (determining weights to achieve a desired outcome), and exploring the computational complexity of inferring attack relations. This work aims to improve the understanding and application of argumentation systems by providing more nuanced and computationally efficient methods for evaluating and manipulating arguments, with implications for areas such as decision support and conflict resolution.