In this article, we propose a graph-model based technique, identified as demonstration graph, to construct and coordinate both behavioral and cognitive models automatically for IHCs to accomplish complex tasks in a simple, universal way. Our technique is inspired by the insight from psychology, neuroscience, and human ethology that humans' decision making largely relies on their past, similar experiences.5,6 Our work is further supported by Alan Turing, who believed that building an intelligent system necessitates imitating human mental processing.7 Thus, we use the Learning-from-Demonstrations (LfD) method,8 borrowed from the robotics domain, to make a character mimic successful human demonstrations to accomplish a well-defined task.
['Mingliang Xu', 'Zhigeng Pan', 'Mingmin Zhang', 'Pei Lv', 'Pengyu Zhu', 'Yangdong Ye', 'Wei Song']
Character Behavior Planning and Visual Simulation in Virtual 3D Space