Patents by Inventor Julian Togelius
Julian Togelius has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230381658Abstract: 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.Type: ApplicationFiled: August 15, 2023Publication date: November 30, 2023Applicant: modl.ai ApSInventors: Christoffer Holmgård Pedersen, Benedikte Mikkelsen, Julian Togelius, Georgios N. Yannakakis, Sebastian Risi, Lars Henriksen
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Patent number: 11826650Abstract: 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.Type: GrantFiled: February 9, 2023Date of Patent: November 28, 2023Assignee: modl.ai ApSInventors: Christoffer Holmgård Pedersen, Benedikte Mikkelsen, Julian Togelius, Georgios N. Yannakakis, Sebastian Risi, Lars Henriksen
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Publication number: 20230182019Abstract: 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.Type: ApplicationFiled: February 9, 2023Publication date: June 15, 2023Applicant: modl.ai ApSInventors: Christoffer Holmgård Pedersen, Benedikte Mikkelsen, Julian Togelius, Georgios N. Yannakakis, Sebastian Risi, Lars Henriksen
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Patent number: 11617954Abstract: 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.Type: GrantFiled: April 4, 2022Date of Patent: April 4, 2023Assignee: modl.ai ApSInventors: Christoffer Holmgård Pedersen, Benedikte Mikkelsen, Julian Togelius, Georgios N. Yannakakis, Sebastian Risi, Lars Henriksen
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Publication number: 20220226734Abstract: 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 predType: ApplicationFiled: April 4, 2022Publication date: July 21, 2022Applicant: modl.ai ApSInventors: Christoffer Holmgård Pedersen, Benedikte Mikkelsen, Julian Togelius, Georgios N. Yannakakis, Sebastian Risi, Lars Henriksen
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Patent number: 11331581Abstract: 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 predType: GrantFiled: January 12, 2021Date of Patent: May 17, 2022Assignee: modl.ai ApSInventors: Christoffer Holmgård Pedersen, Benedikte Mikkelsen, Julian Togelius, Georgios N. Yannakakis, Sebastian Risi, Lars Henriksen
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Publication number: 20210146258Abstract: 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 predType: ApplicationFiled: January 12, 2021Publication date: May 20, 2021Applicant: modl.ai ApSInventors: Christoffer Holmgård Pedersen, Benedikte Mikkelsen, Julian Togelius, Georgios N. Yannakakis, Sebastian Risi, Lars Henriksen
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Patent number: 10918948Abstract: In various embodiments, a method is presented that includes: generating, via a system including a processor, a gaming bot; receiving, via the system, game telemetry data of a gaming app corresponding to an actual player; generating, via the system, game telemetry data of the gaming app corresponding to the gaming bot; generating, via the system, difference data based on the game telemetry data corresponding to an actual player and the game telemetry data corresponding to the gaming bot, the difference data indicating a difference over time between a first character generated by the actual player and a second character generated by the gaming bot; and updating, via the system, the gaming bot based on the difference data.Type: GrantFiled: March 17, 2020Date of Patent: February 16, 2021Assignee: modl.ai ApSInventors: Georgios N. Yannakakis, Christoffer Holmgård Pedersen, Lars Henriksen, Benedikte Mikkelsen, Sebastian Risi, Niels Orsleff Justesen, Julian Togelius
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Publication number: 20200298118Abstract: In various embodiments, a method is presented that includes: generating, via a system including a processor, a gaming bot; receiving, via the system, game telemetry data of a gaming app corresponding to an actual player; generating, via the system, game telemetry data of the gaming app corresponding to the gaming bot; generating, via the system, difference data based on the game telemetry data corresponding to an actual player and the game telemetry data corresponding to the gaming bot, the difference data indicating a difference over time between a first character generated by the actual player and a second character generated by the gaming bot; and updating, via the system, the gaming bot based on the difference data.Type: ApplicationFiled: March 17, 2020Publication date: September 24, 2020Applicant: modl.ai ApSInventors: Georgios N. Yannakakis, Christoffer Holmgård Pedersen, Lars Henriksen, Benedikte Mikkelsen, Sebastian Risi, Niels Orsleff Justesen, Julian Togelius