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The goal of this project is to create game theory games on chain.
Players with the best strategy will be rewarded with tokens.
All state changes will be on chain and indexed.

Game Theory

Game theory is the branch of mathematics concerned with the analysis of strategies for dealing with competitive situations where the outcome of a participant's choice of action depends critically on the actions of other participants.
This term can be subdivided into two questions.

Why Games?

The gaming industry does not force users to join. It has a unique property where players actively and voluntarily participate. This unique property makes it accessible to a wide audience. It is our responsibility to leverage this property in a productive way.

Why Theory?

One productive way is to tailor these games as educational tools. By making game theory games fun, players will learn decision-making skills and apply it across all disciplines (in and outside of games).


Blockchain games have unique properties not found in traditional web2 games.
This term can be subdivided into three ideas.

Transparent Immutable Data

“A lack of transparency results in distrust and a deep sense of insecurity.” - Dalai Lama
By leveraging the blockchain, immutable storage (IPFS) and indexers (The Graph), each transaction can be traced and analyzed. This will provide a rich source of real world data for game theorists, economists, academic research etc.


"It is not from the benevolence of the butcher, the brewer, or the baker that we expect our dinner, but from their regard to their own interest" - Adam Smith
Blockchain technology can leverage tokens to reward good players and slash bad ones. It is in the players own interest to play with the best outcome this will provide the best quality data. Tokens can be used to play, trade and vote.


The organization will create a series of game theory games. Tokens earned from playing can be used to vote on future games, themes and economic models. Gamers can collectively fund game developers and game theorists to develop more compelling models.
Last modified 1mo ago