Dynamic Sanctioning for Robust and Cost-Efficient Norm Compliance
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 414-418.
Abstract
As explained by Axelrod in his seminal work An Evolutionary Approach to Norms, punishment is a key mechanism to achieve the necessary social control and to impose social norms in a self-regulated society. In this paper, we distinguish between two enforcing mechanisms. i.e. punishment and sanction, focusing on the specific ways in which they favor the emergence and maintenance of cooperation. The key research question is to find more stable and cheaper mechanisms for norm compliance in hybrid social environments (populated by humans and computational agents). To achieve this task, we have developed a normative agent able to punish and sanction defectors and to dynamically choose the right amount of punishment and sanction to impose on them (Dynamic Adaptation Heuristic). The results obtained through agent-based simulation show us that sanction is more effective and less costly than punishment in the achievement and maintenance of cooperation and it makes the population more resilient to sudden changes than if it were enforced only by mere punishment.
@inproceedings{ijcai2011p77,
title = {Dynamic Sanctioning for Robust and Cost-Efficient Norm Compliance},
author = {Villatoro, Daniel and Andrighetto, Giulia and Sabater-Mir, Jordi and Conte, Rosaria},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {414--418},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-077},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-077},
}
TY - CPAPER TI - Dynamic Sanctioning for Robust and Cost-Efficient Norm Compliance AU - Villatoro, Daniel AU - Andrighetto, Giulia AU - Sabater-Mir, Jordi AU - Conte, Rosaria T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 414 EP - 418 DO - 10.5591/978-1-57735-516-8/IJCAI11-077 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-077 ER -Copied
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