Video Agent Generation Algorithm Combing Deep Neural Network with Mathematical Model to Realize Cooperative Behavior with Human

Abstract

In this study, we have developed a video agent generation algorithm with a hybrid structure that combines multiple functions based on deep neural networks and mathematical models. The hybrid structure is composed of multiple elements in a Low-level neural network-like structure, and the coupling relation of the network smoothly transitions according to the human behavior. The algorithm enables the real-time generation of the video agent and its behavior to change in various ways depending on the actions of a person. As a result of interaction experiments, we confirmed that cooperative behavior between the human and the video agent occurs in the experience of the dynamic system with the algorithm applied.