Abstract: Systems and methods for dynamically controlling a knowledge scope of artificial intelligence (AI) characters are provided. An example method includes associating a knowledge store with an AI character generated by an AI character model, where the AI character is a virtual character in a virtual world; determining context parameters for the AI character; defining, based on the context parameters, a scope of knowledge available to the AI character from a knowledge store; constricting access of the AI character to the knowledge store based on the defined scope of knowledge; monitoring changes in the context parameters; and dynamically adjusting the scope of knowledge based on the changes in the context parameters.

Abstract: Systems and methods for recognition of intent of a character are provided. The character is an Artificial Intelligence (AI) character generated by an AI character model for interacting with users in the virtual environment or is controlled by a human user. An example method includes monitoring interactions between a plurality of characters in a virtual environment; recognizing, based on environmental parameters associated with the interactions, an intent of a character selected from the plurality of characters: selecting a plurality of possible behaviors for the character based on the intent; and triggering a behavior selected from the plurality of possible behaviors based on predetermined criteria.

Abstract: Systems and methods for providing artificial intelligence (AI) character-specific contextual conversational language models are provided. The method may include providing a plurality of speech models for conversation features of an AI character generated by an AI character model in a virtual environment; ascertaining a context of interactions involving the AI character generated by the AI character model in the virtual environment; selecting, based on the context, a speech model from the plurality of speech models; generating an output using the speech model; and inserting the output into a content of the AI character being generated by the AI character model.

Abstract: Systems and methods for providing artificial intelligence (AI) character-specific contextual conversational language models are provided. The method may include providing a plurality of speech models for conversation features of an AI character generated by an AI character model in a virtual environment; ascertaining a context of interactions involving the AI character generated by the AI character model in the virtual environment; selecting, based on the context, a speech model from the plurality of speech models; generating an output using the speech model; and inserting the output into a content of the AI character being generated by the AI character model.

Abstract: Systems and methods for recognition of intent of a character are provided. The character is an Artificial Intelligence (AI) character generated by an AI character model for interacting with users in the virtual environment or is controlled by a human user. An example method includes monitoring interactions between a plurality of characters in a virtual environment; recognizing, based on environmental parameters associated with the interactions, an intent of a character selected from the plurality of characters: selecting a plurality of possible behaviors for the character based on the intent; and triggering a behavior selected from the plurality of possible behaviors based on predetermined criteria.

Abstract: Systems and methods for dynamically controlling a knowledge scope of artificial intelligence (AI) characters are provided. An example method includes associating a knowledge store with an AI character generated by an AI character model, where the AI character is a virtual character in a virtual world; determining context parameters for the AI character; defining, based on the context parameters, a scope of knowledge available to the AI character from a knowledge store; constricting access of the AI character to the knowledge store based on the defined scope of knowledge; monitoring changes in the context parameters; and dynamically adjusting the scope of knowledge based on the changes in the context parameters.