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Topic: AI Summit
Vault Recording: TBD
Audience Level: All
Changing and testing AI is challenging enough. It becomes even more risky immediately before or after launch when even small tweaks have the potential to upset balance, break scripts, or undermine mission integrity. Development teams have to carefully weigh contradicting user feedback to identify where changes will have a positive outcome for the widest field of players. This talk will explain the methods that were crafted at Hangar 13 to prioritize and address feedback on the AI of 'Mafia III', and the rules for triage and testing of changes. This lecture will also show examples of actual problems that were solved during this process.
The attendee will learn strategies for how to assess, plan, and enact fixes and modifications to AI in a live game, whether the changes come from internal observations or player feedback, without breaking the gameplay or undoing meticulous balance testing.