Game Theory For Cryptocurrency
To
understand how game theory works within the sphere of Cryptocurrency we need to get through the
basics first. To know more about game theory and how it’s used in
cryptoeconomics keep reading on.
Let’s
first get a feel for Game theory.
It is essentially the study of logical decision making made by players within
the clear parameters of a classification (game, scenario, etc). It uses
mathematical models and can be applied to economics, psychology, logic,
computer science, distributed systems, and more. Game theory can be seen as a
microcosm of human behaviour under set conditions wherein certain inducement
structures and mechanisms can lead to predictable and honest behaviour by
players.
In
a archetypal game theory scenario, there are 3 primary components: Players, Strategies,
Outcomes.
Players
are the users that make decisions. Strategies are the manoeuvres that players
make while simultaneously taking into account possible strategies of other
players. The conclusions are the result of the players’ moves inside the
system, and with the right incentive mechanisms, can be motivated to a certain route
or played out recurrently with similar results.
Game
Theory in Cryptocurrencies
Cryptoeconomics
can be well-defined as the amalgamation of cryptography, economics, and game
theory incentive models merged into distributed blockchain protocols in order
to create a secure, stable, and sustainable system.
It
is a very new concept, but when you really dig deep into the functionality of cryptocurrency platforms, you will see
how important it is to justifying malevolent actors and endorsing honest, trust
less behaviour across the network.
The
best example to understand the role of game theory and cryptoeconomics in
cryptocurrency platforms is Bitcoin.
In order for dispersed blockchain networks like Bitcoin to remain secure and
have the ability to reach the essential consensus on the blockchain, they need
to remain Byzantine Fault
Tolerant.
For
the system to remain Byzantine Fault Tolerant, the decentralized nodes have to
come to a majority agreement on the current state of the blockchain without
trusting each other. This
is very difficult to accomplish and is outside of the scope of the employed
cryptography, which is used to cryptographically link each block of the
blockchain, not determine whether the transactions contained within the blocks
are valid or which of 2 competing chains is the valid one.
Bitcoin
solves this problem through its Proof-of-Work consensus model. The model works
where miners need to solve computationally intensive mathematical problems in
order to win the reward for mining the next block.
This
solution needs to be verified by the other miners and the inherent cost of the
process is electricity, a real-world asset with a financial value. The
resulting chain becomes secure and very costly to manipulate or attack. The
larger and more decentralized the network becomes, the increased difficulty in
accomplishing an internal or external attack.
Incentive
structures predicated on game theory mechanisms come into play in order to
encourage the players (users and miners) in the system to act honestly.
Additionally, some abstract concepts within game theory work subtly in the
background.
Starting
with miners, the obvious economic incentive stems from the block reward if they
solve the next round of mining for the next block. The reward in Bitcoin is
currently 12.5 BTC. This is important because since the miners are receiving
the reward in Bitcoin, it is in their best interest for the value of Bitcoin to
increase and the network to remain valid and secure.
They
actively spend resources (electricity) to have a chance to win the block and
thus, their efforts will be a sunk cost if they use malicious actions to attack
the network and jeopardize the value of the reward. It becomes increasingly
more costly to act dishonestly than it does to act honestly within the system. This
creates a positive feedback loop where miners have a consistent positive
incentive to maintain the valid blockchain and mitigate against malicious
actors, resulting in a secure network.
Miners
can act malevolently in a number of ways, counting adding invalid transactions
into blocks or mining on top of invalid blocks to gain more BTC. However, this
is where game theory mechanics come to the rescue. Invalid blocks will be
rejected by the majority of miners in a coordination game format where it is in
the best interest financially of miners to remain with the majority and not
attempt to create invalid blocks due to the inherent and increasing cost
associated with doing so.
The
resulting conclusion from this is that the Bitcoin blockchain is constantly in
a self-reinforcing Nash Equilibrium state. The system is Byzantine Fault
Tolerant due to the majority of miners working in coordination to achieve and
maintain the most stable state of the network at all times.
With
regards to users, their preference for the longest chain (and the most secure)
is a result of a concept known as Bounded Rationality. Essentially, users are
acquainted with the main chain and switching chains creates unnecessary
complications. Maybe reckless, but most users assume that incentive devices are
working correctly to keep miners’ power in check.
Game theory
dynamics in cryptocurrencies will endure to develop and should become one of
the most captivating concepts within the industry. Their role in security,
rationality, and viability cannot be modest and their eventual success or
demise within decentralized networks will unfold in real-time as novel
platforms go live and incorporate larger numbers of users.
The
field of crypto economics is just commencement, with insinuations not solely
referred to cryptocurrency platforms, but to the larger progress of game theory
process themselves.
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