Action Generator Based on Primitive Actions and Individual Properties

摘要

This paper presents a method of how to simulate various human actions. Actions are formed in the Action Hierarchy, and are reified in terms of expanding the hierarchy. While inheritance, super classes provide overall information of actions, and sub classes are used as the actual functions of actions. Primitive actions as leaves of the action hierarchy are proposed for an atomic action to be shared in several actions, and used as key frame. The Action Generator guarantees to return accurate primitive actions to an agent based on the Action Library and the Action Hierarchy, and also provides individual patterns of actions.