Blockchain Governance: An Overview and Prediction of Optimal Strategies using Nash Equilibrium

• URL: http://arxiv.org/abs/2003.09241v1
• Date: Fri, 20 Mar 2020 12:51:52 GMT
• Title: Blockchain Governance: An Overview and Prediction of Optimal Strategies using Nash Equilibrium
• Authors: Nida Khan, Tabrez Ahmad, Anass Patel and Radu State
• Abstract summary: In this paper, the position of blockchain governance within the hierarchy of Institutional governance is discussed. A payoff matrix for blockchain governance is created and simulation of different strategy profiles is accomplished for computation of all Nash equilibria. The paper also includes validation of the proposed formulae using real data.
• Score: 3.0892724364965005
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Blockchain governance is a subject of ongoing research and an interdisciplinary view of blockchain governance is vital to aid in further research for establishing a formal governance framework for this nascent technology. In this paper, the position of blockchain governance within the hierarchy of Institutional governance is discussed. Blockchain governance is analyzed from the perspective of IT governance using Nash equilibrium to predict the outcome of different governance decisions. A payoff matrix for blockchain governance is created and simulation of different strategy profiles is accomplished for computation of all Nash equilibria. The paper elaborates upon payoff matrices for different kinds of blockchain governance, which are used in the proposition of novel mathematical formulae usable to predict the best governance strategy that minimizes the occurrence of a hard fork as well as predicts the behavior of the majority during protocol updates. The paper also includes validation of the proposed formulae using real Ethereum data.

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