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  • Writer's pictureMichael G. Kollo, PhD

The rising tide: From Game Intelligence to Investment

Pluribus, a newly minted algorithm designed by academics from Carnegie Mellon and Facebook made headlines recently for having beaten the world’s top human professional poker players in a six-player no-limit Texas hold’em poker.

Having started in one-on-one games like ‘Chess’, and the much more complex ‘GO’, the past five years have seen algorithms move to the arena of more complex, multi-player games. This presents unique challenges in the sheer scale and size of possibilities, and because it requires some amount of anticipation of other agents and game-theory to solve, it also starts to resemble more real-life systems from military applications, to complex multi-agent systems like the economy.

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