On-chain games can have non-playable charators. This is something that for example, if you play GTA or any kind of game, you can play against the computer and do a race or do whatever. But for on-chain games, this is not the case. So we are working on providing NPC agents to these on-Chain games where people can add these non-playability charators. We're exploring how we can contribute with on-chain machine learning to decentralize arbitration. How can we help scale and improve the game theoretic effectiveness of distributed decentralized arbitration and court systems?

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