Set Contribution Functions for Quantitative Bipolar Argumentation and their Principles
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914438487998464 |
|---|---|
| author | Naudot, Filip Brännström, Andreas Torra, Vicenç Kampik, Timotheus |
| author_facet | Naudot, Filip Brännström, Andreas Torra, Vicenç Kampik, Timotheus |
| contents | We present functions that quantify the contribution of a set of arguments in quantitative bipolar argumentation graphs to (the final strength of) an argument of interest, a so-called topic. Our set contribution functions are generalizations of existing functions that quantify the contribution of a single contributing argument to a topic. Accordingly, we generalize existing contribution function principles for set contribution functions and provide a corresponding principle-based analysis. We introduce new principles specific to set-based functions that focus on properties pertaining to the interaction of arguments within a set. Finally, we sketch how the principles play out across different set contribution functions given a recommendation system application scenario. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_14963 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Set Contribution Functions for Quantitative Bipolar Argumentation and their Principles Naudot, Filip Brännström, Andreas Torra, Vicenç Kampik, Timotheus Artificial Intelligence We present functions that quantify the contribution of a set of arguments in quantitative bipolar argumentation graphs to (the final strength of) an argument of interest, a so-called topic. Our set contribution functions are generalizations of existing functions that quantify the contribution of a single contributing argument to a topic. Accordingly, we generalize existing contribution function principles for set contribution functions and provide a corresponding principle-based analysis. We introduce new principles specific to set-based functions that focus on properties pertaining to the interaction of arguments within a set. Finally, we sketch how the principles play out across different set contribution functions given a recommendation system application scenario. |
| title | Set Contribution Functions for Quantitative Bipolar Argumentation and their Principles |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2509.14963 |