A Cognitive-Oriented Architecture to Realize Autonomous Behavior - Part I: Theoretical Background

This contribution summarizes the theoretical background of a cognitive-oriented architecture to build autonomous systems. A special situation-operator-model, developed to model the human-machine-interaction, is used to structure the reality and map this structuring to a mental model of the system to enable planning and learning. The presented architecture builds the framework for autonomous behavior, where the mental model of the system is maintained and refined by the cognitive functions. The learning capabilities of the system and the steps to realize the proposed architecture in general are illustrated.