M2M infrastructure to integrate humans, agents and robots into collectives

Organizations are pervasive in all aspects of human society. Most large-scale goals are carried out through the cooperation of a group of humans typically working with technologies such as robots and machines. The main goal of this research is the creation of a model and architecture to support networking, communication, interaction, organization and collective intelligence features between machines, robots, software agents, and humans. The model will allow each of these actors to cooperatively work together to accomplish large-scale goals. While machines, robots, software agents and humans are very different in their capabilities, embodiment and inherent behaviors, a core goal is to make them indistinguishable in terms of acting in an organization. When a robot communicates to another actor, it is not concerned with the physical makeup of that actor, only in its ability to solve a goal or execute a task. The goal of indistinguishable actors is not at the level of a Turing test, it gives the organization the flexibility to act as an open system, where the actors can come and exit as needed by the requirements of the overall goal set.