Novaro, Arianna
and Grandi, Umberto and Longin, Dominique and Lorini, Emiliano
Goal-Based Collective Decisions: Axiomatics and Computational Complexity.
(2018)
In: 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 13 July 2018 - 19 July 2018 (Stockholm, Sweden).
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 260kB |
Official URL: https://doi.org/10.24963/ijcai.2018/65
Abstract
We study agents expressing propositional goals over a set of binary issues to reach a collective decision. We adapt properties and rules from the literature on Social Choice Theory to our setting, providing an axiomatic characterisation of a majority rule for goal-based voting. We study the computational complexity of finding the outcome of our rules (i.e., winner determination), showing that it ranges from Nondeterministic Polynomial Time (NP) to Probabilistic Polynomial Time (PP).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | https://www.ijcai.org/proceedings/2018/65 |
| HAL Id: | hal-02316858 |
| Audience (conference): | International conference proceedings |
| Uncontrolled Keywords: | |
| Institution: | Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE) Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE) |
| Laboratory name: | |
| Statistics: | download |
| Deposited On: | 27 Sep 2019 14:06 |
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