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

• US 20200134491A1
• Filed: 06/10/2019
• Published: 04/30/2020
• Est. Priority Date: 06/08/2018
• Status: Active Grant

• Current Assignee: the united states of america as represented by the secretary of the navy
• Original Assignee: the united states of america as represented by the secretary of the navy
• Inventors: Cruise, Robert Bruce
• Granted Patent: US 11,699,083 B2
• Time in Patent Office: Days
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/006 based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
• CPC Class Codes: G06N 5/043 Distributed expert systems; Blackboards
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

Systems and methods are provided in relation to a complex adaptive command guided swarm system that includes an operator section comprising a first command and control section and a plurality of networked swarm of semi-autonomously agent controlled system of systems platforms (SAASoSP). The first command and control section includes a user interface, computer system, network interface, a plurality of command and control systems executed or running on the computer system. The plurality of networked SAASoSPs include embodiments comprising a second control section, sensors, network/communication section, and equipment, wherein the second control section includes an artificial intelligence, integrated information fusion/control diffusion (AIIIFCD) enabled control sections comprising pattern recognition, a machine learning system with stored pattern identification and new pattern identification and storage system, the second control section further comprising a system adapted to receive a range of operator inputs including at least a range of high level mission objective data to actual control inputs to one or more elements of one or more of the SAASOSP.

Claims

1. A complex adaptive command guided swarm system comprising:

a first command and control section comprising user interface, computer system, network interface, a plurality of command and control systems executed or running on the computer system,

a plurality of networked swarm of semi-autonomously agent controlled system of systems platforms (SAASoSP) each comprising a second control section, sensors,

network/communication section, and equipment, wherein the second control section includes an artificial intelligence, integrated information fusion/control diffusion (AIIIFCD) enabled control sections comprising pattern recognition, a machine learning system with stored pattern identification and new pattern identification and storage system, the second control section further comprising a system adapted to receive a range of operator inputs including at least a range of high level mission objective data to actual control inputs to one or more elements of one or more of the SAASOSP.