A physics of interdependence for human-robot-machine organizations

Abstract

We report progress on constructing a physics of interdependence for human-robot-machine organizations. Until now, organizational theory has failed. Similarly, while organizations of agent-based models produce interesting results, they are not predictive. We are integrating mathematics and measurement into a new model of interdependence in organizations based on the conservation of information that offers new insights and directions for research. However, it remains high-risk research.