Publication details

Fair Behavior in Autonomous Ecosystems: A Monetary Approach

Authors

HALÁSZ Dávid KUŠNIRÁKOVÁ Daša

Year of publication 2024
Type Appeared in Conference without Proceedings
MU Faculty or unit

Faculty of Informatics

Citation
Description 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.

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