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Equitable Staking: Addressing Wealth Compounding in Proof-of-Stake Through Reward Function Optimization

Franke, Kelvin (2024) Equitable Staking: Addressing Wealth Compounding in Proof-of-Stake Through Reward Function Optimization. Bachelor's Thesis, Artificial Intelligence.

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Abstract

This thesis addresses wealth compounding in Proof-of-Stake (PoS) systems, while maintaining incentive compatibility. It examines the effect of smoothing the geometric reward function proposed by Fanti et al. (2019) on wealth compounding and incentive compatibility. Three novel reward functions based on the geometric reward function are proposed and the study quantifies and evaluates wealth compounding and incentive compatibility for each function. A PoS system is simulated in Python, and results show that smoothing the geometric reward function can improve wealth compounding and boost incentive compatibility, resulting in a more equitable and rewarding PoS system.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Grossi, D. and Weerd, H.A. de
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 03 Oct 2024 08:32
Last Modified: 03 Oct 2024 08:32
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/34289

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