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If I recall, Shannon returned a proposal to McCarthy for research during his stay on the cellular automata (perhaps inspired by von Neumann), not machines playing games.

Shannon did foundational research in information theory, communications, cryptography, digital relay circuit design, and gambling. Crediting him for impact on AI and machine learning is a bit of a stretch (even though the IEEE Spectrum and Bell Labs published articles claiming credit, indicating that Shannon played a role).

He was an avid chess player, and demonstrated machines doing various things: playing, finding their ways in a maze, juggling etc. It wasn’t based on a foundational theory of computers playing games (and the approach is different from the reinforcement learning or optimization of the models).



Shannon published a paper on Chess AI, just give it a quick google.


> finding their ways in a maze,

Another beginning building block of the field of AI.

Are you even thinking about what you’re writing here or is this the output of an LLM?




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