SYSTEM AND METHOD FOR MULTI-AGENT ARCHITECTURE FOR INTERACTIVE MACHINES

摘要

Systems, methods, and computer-readable storage devices are for an event-driven multi-agent architecture improves via a semi-hierarchical multi-agent reinforcement learning approach. A system receives a user input during a speech dialog between a user and the system. The system then processes the user input, identifying an importance of the user input to the speech dialog based on a user classification and identifying a variable strength turn-taking signal inferred from the user input. An utterance selection agent selects an utterance for replying to the user input based on the importance of the user input, and a turn-taking agent determines whether to output the utterance based on the utterance, and the variable strength turn-taking signal. When the turn-taking agent indicates the utterance should be output, the system selects when to output the utterance.

主权项

1. A method comprising:
receiving a user input during a speech dialog between a user and a system, wherein the user is implicitly classified as a type of user; processing the user input by:
identifying an importance of the user input to the speech dialog based on the type of user; andidentifying a variable strength turn-taking signal inferred from the user input; selecting, via an utterance selection agent, an utterance for replying to the user input based on the importance of the user input; determining, via a turn-taking agent, whether to output the utterance based on the utterance, and the variable strength turn-taking signal, to yield a determination; and when the determination indicates the utterance should be output, selecting a timing for when to output the utterance.