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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