Abstract: In one implementation, a method of generating environment states is performed by a device including one or more processors and non-transitory memory. The method includes displaying an environment including an asset associated with a neural network model and having a plurality of asset states. The method includes receiving a user input indicative of a training request. The method includes selecting, based on the user input, a training focus indicating one or more of the plurality of asset states. The method includes generating a set of training data including a plurality of training instances weighted according to the training focus. The method includes training the neural network model on the set of training data.

Abstract: A method includes generating, in coordination with an emergent content engine, a first objective for a first objective-effectuator and a second objective for a second objective-effectuator instantiated in a computer-generated reality (CGR) environment. The first and second objectives are associated with a mutual plan. The method includes generating, based on characteristic values associated with the first and second objective-effectuators a first directive for the first objective-effectuator and a second directive for the second objective-effectuator. The first directive limits actions generated by the first objective-effectuator over a first set of time frames associated with the first objective and the second directive limits actions generated by the second objective-effectuator over a second set of time frames associated with the second objective.

Abstract: A method includes generating, in coordination with an emergent content engine, a first objective for a first objective-effectuator and a second objective for a second objective-effectuator instantiated in a computer-generated reality (CGR) environment. The first and second objectives are associated with a mutual plan. The method includes generating, based on characteristic values associated with the first and second objective-effectuators a first directive for the first objective-effectuator and a second directive for the second objective-effectuator. The first directive limits actions generated by the first objective-effectuator over a first set of time frames associated with the first objective and the second directive limits actions generated by the second objective-effectuator over a second set of time frames associated with the second objective.

Abstract: A method and apparatus for targeting messages to users in a social network, for example by first identifying topics in the social network is provided. One embodiment of a method for discovering topics in a social network includes collecting information from the social network, the information including at least one of: interactions between users of the social network or profile information for the users, determining a global topic model including at least one topic, based on the collected information, and locally refining the global topic model in accordance with the collected information.

Abstract: A method and apparatus for targeting messages to users in a social network, for example by first identifying topics in the social network is provided. One embodiment of a method for discovering topics in a social network includes collecting information from the social network, the information including at least one of: interactions between users of the social network or profile information for the users, determining a global topic model including at least one topic, based on the collected information, and locally refining the global topic model in accordance with the collected information.

Abstract: A method and apparatus for targeting messages to users in a social network, for example by first identifying topics in the social network is provided. One embodiment of a method for discovering topics in a social network includes collecting information from the social network, the information including at least one of: interactions between users of the social network or profile information for the users, determining a global topic model including at least one topic, based on the collected information, and locally refining the global topic model in accordance with the collected information.