Five Principles of Swarm Intelligence

Swarm Technology’s strategically important issued patents define the architecture for Plug-and-Play Intent-Based Autonomy, Proactive Autonomy, and Heterogeneous Interoperability in networking and robotics. Swarm intelligence’s cognitive algorithm should be compliant with the same behavioral principles exhibited by social insects: Principle #1: Awareness Each member must be aware of its surroundings and abilities. Principle #2: Autonomy Each member must operate as an autonomous master (not as a slave); this is essential to self-coordinate allocation of labor. Principle #3: Solidarity Each member must cooperate in solidarity; when a task is completed each member should autonomously look for a new task (leveraging its current position). Principle #4: Expandability The system must permit expansion where members are dynamically aggregated. Principle #5: Resiliency The system must be self-healing; when members are removed, the remaining members should