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Use the GDC 2021 Session Viewer to browse and sort the ever-growing list of sessions by pass type, topic, and format. You will be able to build your personal schedule directly within the event platform, once live early July 2021.

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

Anna Kipnis  (Senior Prototyper & Game Designer, Google)

Pass Type: All Access Pass, Summits Pass

Topic: Programming

Format: Session

Vault Recording: TBD

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.

Takeaway

Learn about an approach to game AI that lets you prototype using plain English in a spreadsheet. See how the tech can be used to craft AI behavior, to implement dynamic dialog, create ambient behavior, and more, based on emergent events and player choice.

Intended Audience

This talk is for designers, programmers, and anyone else interested in AI approaches that can help acknowledge unanticipated player choice and emergent events without the developer having to explicitly account for every possible interaction or game state permutation.