Action planning for autonomous agents based on neuropsychoanalytical concepts

Abstract

Action planning methods for autonomous agents are necessary to successfully perform tasks and purposely achieve goals within the agent's environment. Based on already existing knowledge about the environment, action sequences are built. Development of actions is important for autonomous systems because the possibility of action generation determines the degree of freedom to act within an environment. This article introduces an action planning system for autonomous agents based on neuropsychoanalytical concepts of the human psyche. Based on a technically implementable model of the human mind, an action planning system is modeled and implemented to create a planning system for technical applications. The result is a flexible system that is able to create action sequences purposely achieving goals within the agent's environment. The system can be compared to the human planning process and is the first homogenous work in the field of Artificial Intelligence completely based on consistent and unambiguous concepts about the human mind. To test the developed model, a simulation environment is used where agents controlled by an implementation of the model have to fulfill use cases.