This is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.
|Session Name:||AI-Driven QA: Simulating Massively Multiplayer Behavior for Debugging Games|
|Company Name(s):||Cygames, Inc.|
|Track / Format:||Programming|
Did you know free users get access to 30% of content from the last 2 years?
|Overview:||At Cygames, one of the largest mobile game developers in Japan, the team provides a strategic multiplayer digital card game for millions of unique users. The Cygames team faces serious costs when debugging enormous amounts of cards and card combinations, which are continuously released because each card has unique functions and visual effects. That's why they developed a novel AI-driven automatic quality assurance (QA) toolkit that learns massively multiplayer behaviors from gaming logs to simulate various play styles and decision-making tendencies. In this session, Cygames will explain a detailed process for developing an AI-driven QA framework, including a method to extract a frequent itemset of cards and actions from a noisy gaming log, and a method to convert the frequent itemset to parameters for controlling an AI-bot. The speaker wil explain how to implement your own AI-driven QA toolkit exploiting your gaming logs in a step-by-step manner, and how it improves the efficiency of your QA process.|