Swarm system including an operator control section enabling operator input of mission objectives and responses to advice requests from a heterogeneous multi-agent population including information fusion, control diffusion, and operator infusion agents that controls platforms, effectors, and sensors

A method of operating a complex adaptive command guided swarm system comprising:

• supplying a first command and control section comprising a user interface, a computer system, a network interface, and a plurality of command and control systems executable on the computer system;
• and
• supplying a plurality of networked swarm of semi-autonomously agent controlled system of systems platforms (SAASoSPs), each of the plurality of SAASoSPs comprising:
• a second command and control section;
• one or more sensors;
• a network communication section configured to communicate with at least the first command and control section and one or more other SAASoSPs of the plurality of SAASoSPs;
• and
• one or more equipment systems configured to create a physical effect on an object or an environment external to the SAASoSP;
• wherein the second command and control section is configured to implement:
• at least one information fusion agent configured to mine and process information that originates in the environment external to the SAASoSP, the information including features including patterns recognized within a set of pixel vectors, objects including patterns recognized within a set of feature vectors, situations including patterns recognized within a set of object state vectors, and impacts or threats including patterns recognized within a set of situation vectors;
• at least one control diffusion agent configured to generate control actions based, in part, on the information collected and processed by the at least one information fusion agent and disseminate the control actions within the SAASoSP;
• and
• at least one operator infusion agent configured to receive a range of operator inputs via the first command and control section including at least a range of high level mission objective data;
• wherein the second control and command system is configured to operate using active advice-seeking learning logic using a combination of active learning and advice-seeking learning, wherein each SAASoSP of the plurality of SAASoSPs is configured to solicit or query for advice from a human operator via the first control and command system during either training of the complex adaptive command guided swarm system or execution of a mission, including configuration to receive input of advice from the human operator concerning one or more complex domains of interest and/or concerning broad characterizations of entire regions of one or more data input spaces.