GAME CONTENT CHOREOGRAPHY BASED ON GAME CONTEXT USING SEMANTIC NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING

摘要

A module that implements a state machine generates a first environmental condition experienced by a player in a video game. The first environmental condition is produced by the module operating in a first state of the state machine and the first state is associated with a first natural language tag. The state machine transitions from the first state to a second state based on a semantic similarity of an input phrase and a second natural language tag associated with the second state. The module, while operating in the second state, generates a second environmental condition experienced by the player in the video game. In some cases, the module selects the second natural language tag based on a ranking of tags for a plurality of states on their semantic similarity to an input phrase. The ranking is generated by a semantic natural language processing (NLP) machine learning (ML) algorithm.