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Teleseismic_Eyes t1_jdenio1 wrote

Reply to comment by Borkido in AI creating Games by 2farzzz

WFCA is at the core of alot of ML approaches to synthesize effective NLP in chat AI.

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Borkido t1_jdfc038 wrote

Ok i have to admit im not exactly well informed when it comes to the inner working of ai. However saying that because we are using wfca for procedual generation and because ai uses wfca means that ai is already used to generate games is a bit of a stretch.

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Teleseismic_Eyes t1_jdfjz2y wrote

AI and wfca are sometimes used in tandem to build realistic conversations. For example, a trained Chat AI can produce a reasonable statement like "The sky is blue. People have blue eyes. Therefore people's eyes are the sky." It's a pretty lackluster line of logic a trained AI proposes but a series of probabilistic adjacency rules such as just one that says "Human anatomy and weather are mutually exclusive" or something to that effect can dramatically clean up the output given by the AI. If you know anything about wfca, this is exactly how the algorithm works where a set of adjacency rules control the final output based on what already exists. Hopefully that clears it up a bit.

TLDR; AI is often very far from perfect. Algorithms like wfca can help get it quite a bit closer.

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