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@proceedings{2372058,
author = {Halász, Dávid and Kušniráková, Daša},
booktitle = {14th International Conference on Exploring Service Science (IESS 2.4)},
language = {eng},
title = {Fair Behavior in Autonomous Ecosystems: A Monetary Approach},
url = {https://iess.online/},
year = {2024}
}
TY - CONF
ID - 2372058
AU - Halász, Dávid - Kušniráková, Daša
PY - 2024
TI - Fair Behavior in Autonomous Ecosystems: A Monetary Approach
UR - https://iess.online/
N2 - The rapid evolution of autonomous systems is leading to the formation of Autonomous Ecosystems, complex networks of machines with their own governance challenges. A key issue in these ecosystems is to ensure that machines behave fairly towards each other. This poster proposes a novel interdisciplinary approach by utilizing blockchain technology to monetize fairness. By creating fairness tokens, the fair behavior of machines becomes a quantifiable, incentivized metric. Fair behavior can be rewarded with these tokens, which can also be used to purchase fairness within the ecosystem. This approach not only encourages equitable machine interactions but also offers a self-regulating mechanism for the maintenance and governance of these ecosystems.
ER -
HALÁSZ, Dávid a Daša KUŠNIRÁKOVÁ. Fair Behavior in Autonomous Ecosystems: A Monetary Approach. In \textit{14th International Conference on Exploring Service Science (IESS 2.4)}. 2024.
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