Group Decision Making via Probabilistic Belief Merging
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 3623-3628.
Abstract
We propose a probabilistic-logical framework for group decision-making. Its main characteristic is that we derive group preferences from agents' beliefs and utilities rather than from their individual preferences as done in social choice approaches. This can be more appropriate when the individual preferences hide too much of the individuals' opinions that determined their preferences. We introduce three preference relations and investigate the relationships between the group preferences and individual and subgroup preferences.
@inproceedings{ijcai2016p510,
title = {Group Decision Making via Probabilistic Belief Merging},
author = {Potyka, Nico and Acar, Erman and Thimm, Matthias and Stuckenschmidt, Heiner},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {3623--3628},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/510},
}
TY - CPAPER TI - Group Decision Making via Probabilistic Belief Merging AU - Potyka, Nico AU - Acar, Erman AU - Thimm, Matthias AU - Stuckenschmidt, Heiner T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 3623 EP - 3628 UR - https://ijcai.org/proceedings/2016/510 ER -Copied
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