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Tokenomics Part 3

By Jaya Bijoor

In the last two blog posts, we learned about tokens and the key factors that comprise tokenomics. Now, we are finishing up the articles on tokenomics.


We will be focusing on game theory: a concept that underlines the majority of blockchains and blockchain-based projects. Game theory is used to define and predict strategic interactions among rational decision makers. It examines the decision making processes in interactive situations and provides a framework for predicting the outcomes in games and conflicts between individuals and organizations. In essence, game theory is useful for predicting and understanding how people make decisions when they have overlapping, conflicting, or mixed interests and how their choices might affect others. Game theory can be applied in computer science, economy, politics, psychology, and many other disciplines.

Since blockchain systems often combine these fields, it is unsurprising that game theory found a natural application in analyzing network incentives, user behavior, voting mechanics, or market conditions in blockchain networks. Regarding tokenomics, game theory is particularly useful in understanding market participants' behavior and designing token incentives that align with the network's goals. For example, game theory can be used to design token reward systems that encourage desirable behavior (such as contributing to the network's security or growth) and discourage undesirable behavior (such as hoarding tokens or attacking the network).


Consensus mechanisms are the most common examples of game theory applied to blockchain. Game theoretical principles are used to understand the incentives miners and validators need to act honestly and contribute to the network's security versus acting selfishly and compromising it. When network designers provide the right incentives and make acting in the network’s best interest easier and more profitable, we get stable and secure systems like Bitcoin or Ethereum.


Game theoretical principles can create more stable and effective token economies, whether applied to large systems like blockchains or the functioning of DAOs or token based projects.


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