Technical Report on Implementing Ranking-Based Semantics in ConArg
Bistarelli, Stafano, Faloci, Francesco, Taticchi, Carlo
–arXiv.org Artificial Intelligence
ConArg is a suite of tools that offers a wide series of applications for dealing with argumentation problems. In this work, we present the advances we made in implementing a ranking-based semantics, based on computational choice power indexes, within ConArg. Such kind of semantics represents a method for sorting the arguments of an abstract argumentation framework, according to some preference relation. The ranking-based semantics we implement relies on Shapley, Banzhaf, Deegan-Packel and Johnston power index, transferring well know properties from computational social choice to argumentation framework ranking-based semantics.
arXiv.org Artificial Intelligence
Aug-21-2019
- Country:
- Europe > Italy
- Abruzzo > L'Aquila Province
- L'Aquila (0.04)
- Umbria > Perugia Province
- Perugia (0.04)
- Abruzzo > L'Aquila Province
- North America > United States (0.04)
- Europe > Italy
- Genre:
- Research Report (0.50)
- Technology: