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Machine Learning Summit: Creating Game AI by Using Mostly English, with Semantic ML


One of the most difficult problems in crafting a believable character AI is accounting for every conceivable interaction the player may have with your character, and the tedious process of creating the glue between the player action and the content you've created for your game. But what if you could use Semantic ML to skip that glue step entirely? In this session, some demos using Semantic ML will be presented, showing how it can be used to quickly prototype and craft an AI and its personality using just a simple spreadsheet. Best of all, a natural language interface that doesn't require intervention from a programmer can allow the developer to solve problems at a higher level of abstraction, using the English language instead of simulation variables, and empower the less technical members of the team to contribute creatively to the crafting of AI behavior.

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