> January 2018 a "document" dating from January of 2017 was leaked to Techpowerup, in which a tech company was pitching an AI program to clients and using examples of it's implementation with an unnamed game. That game is shown strictly in screenshots inside the presentation, and those screen shots are obviously Anthem. The language in the document is pretty shocking and to borrow the language from the author of the article at Techpowerup, "dystopian".
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> The crux of the document was about how to use AI to keep players playing games longer and spending more. The AI was to use things like flexible difficulty, and loot rewards or punishments depending on the psychological profile of the game player it develops (a profile data-mined from the gamer's home pc, gaming habits, web browsing, voice, and amazingly home floor plan)
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> Here is a link to that article:
https://www.techpowerup.com/240655/...e-model-paper-foretells-a-dystopian-nightmare
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> Into speculative territory- While the document does not use any names (all names are redacted) EA has filed a number of patents for AI techs similar in nature and design, furthermore the way the document was designed seems to imply these AI mechanisms were in use in the unnamed game (Anthem). Now I have no way to verify the veracity of that document, however a lot of how Anthem behaves and the way Bioware talks about it seems to heavily imply there may be an AI algorithm controlling rewards and difficulty in a variable manner, and this may explain the way the store has been functioning (or not) and why EA is so happy with Anthem.
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> Lets see if this one gets taken down as well. Last one lasted 8 hours.
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> EDIT: some great posts in this thread, two guys in particular went digging through EA patents and found a nice one.
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https://patents.justia.com/patent/9919217 Dynamic difficulty adjustment
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> Special thanks to u/old4toronto and u/dngiova for digging this one up, definitely worth a read as this one applies directly to large chunks of the original "leaked" document.
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> EDIT: you guys are great in here, here are two more must reads from EA's AI dev work
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> special thanks to u/miscueLoL for digging this gem up
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> Dynamic Difficulty Adjustment for Maximized Engagement in Digital Games
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http://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/companion/p465.pdf
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> and u/nohkternal for this one
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> MULTIPLAYER VIDEO GAME MATCHMAKING OPTIMIZATION
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> Publication number: 20180369696
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> Abstract: Embodiments of systems presented herein may identify users to include in a match plan. A parameter model may be generated to predict the retention time of a set of users. A queue of potential users, a set of teammates, and/or opponents may be selected from a queue of waiting users. User information for the set of teammates and/or opponents may be provided to the parameter model to generate a predicted retention time. The set of teammates and/or opponents may be approved if the predicted retention time meets a predetermined threshold. Advantageously, by creating a match plan based on retention rates, the engagement and/or retention level for a number of users may be improved compared to existing multiplayer matching systems.