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公开(公告)号：US12076645B2
公开(公告)日：2024-09-03
申请号：US18450128
申请日：2023-08-15
申请人： modl.ai ApS
发明人： Christoffer Holmgård Pedersen , Benedikte Mikkelsen , Julian Togelius , Georgios N. Yannakakis , Sebastian Risi , Lars Henriksen
摘要： An AI system is trained to operate by receiving game telemetry data from a gaming application associated with game play of a player, wherein the telemetry data includes pixel data from the gaming application; generating a predicted user motivation by applying the BEA tools to the game telemetry data, wherein the predicted user motivation includes motivation data that indicates motivation scores for the player for each of a plurality of motivation factors associated with a corresponding one of a plurality of different motivations, and wherein each of the motivation scores for the player predicts an amount that the player's behavior while playing the gaming application is motivated by one of the plurality of different motivations; and facilitating adaptation of the gaming application based on the predicted user motivation.
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公开(公告)号：US20220226734A1
公开(公告)日：2022-07-21
申请号：US17657858
申请日：2022-04-04
申请人： modl.ai ApS
发明人： Christoffer Holmgård Pedersen , Benedikte Mikkelsen , Julian Togelius , Georgios N. Yannakakis , Sebastian Risi , Lars Henriksen
IPC分类号： A63F13/69
摘要： A game development platform operates by: updating a gaming application based on a play of the game by a non-imitating game bot to generate a first updated gaming application corresponding to a first updated game; generating an imitating game bot based on first game telemetry data generated in response to a play of the first updated game by a first plurality of actual players; generating behavioral experience analysis (BEA) data based on the play of the first updated game by the first plurality of actual players; generating a BEA tool based on the BEA data; updating the first updated gaming application based on play of the first updated game by the imitating game bot to generate a second updated gaming application corresponding to a second updated game; generating predicted player motivations via the BEA tool based on second game telemetry data generated in response to a play of the second updated game by a second plurality of actual players; and updating the second updated gaming application based on the predicted player motivations to generate a third updated gaming application corresponding to a third updated game.
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公开(公告)号：US11331581B2
公开(公告)日：2022-05-17
申请号：US17146751
申请日：2021-01-12
申请人： modl.ai ApS
发明人： Christoffer Holmgård Pedersen , Benedikte Mikkelsen , Julian Togelius , Georgios N. Yannakakis , Sebastian Risi , Lars Henriksen
IPC分类号： A63F13/69
摘要： A game development platform operates by: updating a gaming application based on a play of the game by a non-imitating game bot to generate a first updated gaming application corresponding to a first updated game; generating an imitating game bot based on first game telemetry data generated in response to a play of the first updated game by a first plurality of actual players; generating behavioral experience analysis (BEA) data based on the play of the first updated game by the first plurality of actual players; generating a BEA tool based on the BEA data; updating the first updated gaming application based on play of the first updated game by the imitating game bot to generate a second updated gaming application corresponding to a second updated game; generating predicted player motivations via the BEA tool based on second game telemetry data generated in response to a play of the second updated game by a second plurality of actual players; and updating the second updated gaming application based on the predicted player motivations to generate a third updated gaming application corresponding to a third updated game.
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公开(公告)号：US20210146258A1
公开(公告)日：2021-05-20
申请号：US17146751
申请日：2021-01-12
申请人： modl.ai ApS
发明人： Christoffer Holmgård Pedersen , Benedikte Mikkelsen , Julian Togelius , Georgios N. Yannakakis , Sebastian Risi , Lars Henriksen
IPC分类号： A63F13/69
摘要： A game development platform operates by: updating a gaming application based on a play of the game by a non-imitating game bot to generate a first updated gaming application corresponding to a first updated game; generating an imitating game bot based on first game telemetry data generated in response to a play of the first updated game by a first plurality of actual players; generating behavioral experience analysis (BEA) data based on the play of the first updated game by the first plurality of actual players; generating a BEA tool based on the BEA data; updating the first updated gaming application based on play of the first updated game by the imitating game bot to generate a second updated gaming application corresponding to a second updated game; generating predicted player motivations via the BEA tool based on second game telemetry data generated in response to a play of the second updated game by a second plurality of actual players; and updating the second updated gaming application based on the predicted player motivations to generate a third updated gaming application corresponding to a third updated game.
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公开(公告)号：US20230182019A1
公开(公告)日：2023-06-15
申请号：US18166741
申请日：2023-02-09
申请人： modl.ai ApS
发明人： Christoffer Holmgård Pedersen , Benedikte Mikkelsen , Julian Togelius , Georgios N. Yannakakis , Sebastian Risi , Lars Henriksen
摘要： A system operates by generating BEA tools that include an AI model trained via machine learning based on prior game play; receiving game data and multimodal player data associated with a play of a gaming application by a player that includes verbal data generated from the player and non-verbal data generated from the player; generating a predicted user experience by applying the BEA tools to the game data and the multimodal player data, wherein the predicted user experience includes motivation data that indicates motivation scores for the player for each of a plurality of different motivations, and wherein each of the motivation scores for the player predicts an amount that the player is motivated by one of the plurality of different motivations while playing the gaming application; and facilitating adaptation of the gaming application based on the predicted user experience.
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公开(公告)号：US11617954B2
公开(公告)日：2023-04-04
申请号：US17657858
申请日：2022-04-04
申请人： modl.ai ApS
发明人： Christoffer Holmgård Pedersen , Benedikte Mikkelsen , Julian Togelius , Georgios N. Yannakakis , Sebastian Risi , Lars Henriksen
摘要： A game development platform operates by: updating a gaming application corresponding to a game based on game play by at least one non-imitating game bot to generate a first updated gaming application corresponding to a first updated game; generating an imitating game bot based on first game telemetry data generated in response to play of the first updated game by actual players; updating the first updated gaming application based on play of the first updated game by the imitating game bot to generate a second updated gaming application corresponding to a second updated game; generating motivation data indicating predicted player motivations based on second game telemetry data generated in response to play of the second updated game; and updating the second updated gaming application based on the motivation data to generate a third updated gaming application corresponding to a third updated game.
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公开(公告)号：US11596867B2
公开(公告)日：2023-03-07
申请号：US17159907
申请日：2021-01-27
申请人： modl.ai ApS
摘要： A procedural content generation tool operates by: generating, via image analysis, graphs of existing game content; generating a symmetrical Markov random field (SMRF) model based on the graphs; and automatically generating, via iterative artificial intelligence (AI), new game content based on the SMRF model.
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公开(公告)号：US11325048B2
公开(公告)日：2022-05-10
申请号：US16820146
申请日：2020-03-16
申请人： modl.ai ApS
IPC分类号： A63F13/79
摘要： In various embodiments, a method is presented that includes: generating, via a system including a processor, behavioral experience analysis (BEA) tools based on a preference learning model; receiving, via the system, game telemetry data from a gaming application; generating, via the system, a predicted user motivation by applying the BEA tools to the game telemetry data; and facilitating adaptation of the gaming application based on the predicted user motivation.
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公开(公告)号：US20200298128A1
公开(公告)日：2020-09-24
申请号：US16820146
申请日：2020-03-16
申请人： modl.ai ApS
IPC分类号： A63F13/79
摘要： In various embodiments, a method is presented that includes: generating, via a system including a processor, behavioral experience analysis (BEA) tools based on a preference learning model; receiving, via the system, game telemetry data from a gaming application; generating, via the system, a predicted user motivation by applying the BEA tools to the game telemetry data; and facilitating adaptation of the gaming application based on the predicted user motivation.
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公开(公告)号：US20230381658A1
公开(公告)日：2023-11-30
申请号：US18450128
申请日：2023-08-15
申请人： modl.ai ApS
发明人： Christoffer Holmgård Pedersen , Benedikte Mikkelsen , Julian Togelius , Georgios N. Yannakakis , Sebastian Risi , Lars Henriksen
摘要： An AI system is trained to operate by receiving game telemetry data from a gaming application associated with game play of a player, wherein the telemetry data includes pixel data from the gaming application; generating a predicted user motivation by applying the BEA tools to the game telemetry data, wherein the predicted user motivation includes motivation data that indicates motivation scores for the player for each of a plurality of motivation factors associated with a corresponding one of a plurality of different motivations, and wherein each of the motivation scores for the player predicts an amount that the player's behavior while playing the gaming application is motivated by one of the plurality of different motivations; and facilitating adaptation of the gaming application based on the predicted user motivation.
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