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Automated Fire Control System (AFCS)

Description:

TECHNOLOGY AREA(S): Info Systems 

OBJECTIVE: Artificial Intelligence (software/algorithm) that will process data from sensors provide fire control and situational awareness to weapons and other systems. In addition a basic computer lab model/simulation and demonstration. 

DESCRIPTION: ARtificial Intelligence NETworked (ARINET) The Government is interested in technologies which implement Artificial Intelligence (AI) to create a self healing mesh network with sensor data passing capabilities. The AI should be able to make collective decisions about objects of interest from sensor data. Each AI node will collect information from their own connected sensors about an Object of Interest (OI). Then, each AI will share and correlate the data from its sensors and networked information feeds to calculate the appropriate action to take about the OI Observed/Detected (O/D). Before the individual AI takes any actions will share/receive data with other AI in the network (ARINET). Then, all AIs that also O/D the same OI, will recalculate the best action to take with the new data and concurred which is the best AI that has the best capabilities, location, and other factors to take action on the OI. The AI nodes should be able to elect a leader if a leader drops off from the Net 

PHASE I: The Government expects to receive a detailed engineering design study that explains how an Artificial Intelligence (AI) system will operate the Automated Fire Control System (AFCS). The AFCS is a Fire Control decision making System and it will operate counter measure systems. The study shall explain the following tasks but not limited to: 1) How the AI will be able to interface with multiple types of sensors (optical, radios, acoustics, radars, etc), countermeasures, weapons, communication network (e.g. radios), radio direction finder, mechanical devices (e.g. robotic-unmanned systems), vehicles, etc. 2) How the AI will collect data from sensors and other systems (e.g. detection and tracking object of interest). 3) How the AI will process and correlate the data collected from the sensor. 4) Triangulate an object of interest 5) How the AI will provide target resolutions and identifications. 6) How the AI will prioritize actions based on: range, lethality, sector with priority to be protected, protecting special assets, utilization of specific countermeasure systems. 7) programmable to prioritize protection of human, before protection of hardware when it is necessary 8) How the AI will select and distribute multiple engagements in order to respond to each threat detected and identified. 9) How the AI will interface and operate the countermeasure system and its platform 10) How the AI will reassess each mission and whether to repeat the mission. 11) How the AI will transmit data to a communication network 12) How the AI can operate on the move weapons systems 13) How an AI will interface with other AIs in order to share data and operate as a collective team. 14) How the AI will display the data collected in a tactical digital map and display location and identification of the objects detected, assess (sensors, countermeasure systems, etc). Provide tracking on tactical digital map. 15) How the AI software/algorithm architecture will calculate decision making (a detailed step by step design plan). 16) Provide a plan for the hardware where the AI will reside and interface with other systems. 17) How the AI will learn from the data collected. 18) Provide a concept simulation of the Fire Control AI. 19) The study must include an engineering plan to be become part of the ARDEC “Flexible Fire Control System” (F2CS) and leverage from it. 20) Provide an engineering plan, budget, schedule and test plan to develop basic lab AI system prototype for Phase 2 (** Please refer to Phase 2 for system fabrication deliverables for more information**). 

PHASE II: The Government expects to receive the following deliverables: 1) The software/algorithm completed and updated source code for the Artificial Intelligence (AI) to operate the Automated Fire Control System (AFCS). 2) Technical data package level 1 for the hardware 3) A basic lab AI system prototype (hardware and software) 4) A lab demonstration of the AI (hardware and software). The AI shall demonstrate the capabilities listed in Phase One. Part of the demonstration can be simulated with emulators. In addition, shall demonstrate the following events: a. The demonstration must include the ARDEC “Flexible Fire Control System” (F2CS) b. Collection of different types of threat detection at different locations, by different types of sensors c. Correlation of threat sensors data d. Prioritization of threats to engage threats (e.g. based on range, lethality, sector, available countermeasure systems, etc, per Phase One) e. Engagement with multiple threats f. Assessment of engagement g. Self-learning AI h. Network with other AFCS and demonstrate a collective of AI teaming to engage a threat or multiple threats 5) Provide an engineering plan, budget, schedule and test plan to develop an AI system prototype for Phase 3. 

PHASE III: Besides meeting military needs, the development of the IA can benefit the civilian world by providing a system that can receive information from other devices, in order to make decisions that can operate other systems. The AI can be utilized in homeland security, traffic control, operation of autonomous vehicles, robotic systems that operate in factories, operation in hazardous environments, etc. The Government expects to receive the following deliverables: 1) The software/algorithm completed and updated source code for the Artificial Intelligence (AI) to operate the Automated Fire Control System (AFCS). 2) Technical data package level 2 for the hardware 3) An AI system prototype (hardware and software) 4) For Military Use: A demonstration of the AI (hardware and software). The AI shall demonstrate the capabilities listed in Phase One. Part of the demonstration can be simulated with emulators. In addition, shall demonstrate the following events: a. The demonstration must include the ARDEC “Flexible Fire Control System” (F2CS) b. Collection of different types of threat detection at different locations, by different types of sensors c. Correlation of threat sensors data d. Prioritization of threats to engage threats (e.g. based on range, lethality, sector, available countermeasure systems, etc, per Phase One) e. Engagement with multiple threats f. Assessment of engagement g. Self-learning AI (Machine learning) h. Network with other AFCS and demonstrate a collective of AI teaming to engage a threat or multiple threats 5) For Commercial Use: A demonstration of how the AI (hardware and software) can collect data and learn in order to make decisions to operate commercial instruments and execute a task such as traffic control or any commercial operation. 6) Provide an engineering plan, budget, schedule and test plan to develop a production AI system prototype. 

REFERENCES: 

1: http://artint.info/html/ArtInt_18html

2:  Artificial Intelligence and the Future of Warfare https://www.chathamhouse.org/sites/files/chathamhouse/publications/research/2017-01-26-artificial-intelligence-future-warfare-cummings-final.pdf

3:  https://futureoflife.org/wp-content/uploads/2017/01/Heather-Roff.pdf?x57718

4:  The British Navy Bought Artificial Intelligence to Make Its Sailors Better Shots https://motherboard.vice.com/en_us/article/8qxexx/the-british-navy-bought-artificial-intelligence-to-make-its-sailors-better-shots

5:  https://www.omicsonline.org/open-access/genetic-fuzzy-based-artificial-intelligence-for-unmanned-combat-aerialvehicle-control-in-simulated-air-combat-missions-2167-0374-100014php?aid=72227

6:  https://newatlas.com/kalashnikov-ai-weapon-terminator-conundrum/50576/

KEYWORDS: Artificial Intelligence, Fire Control, Autonomous Vehicles, Connected Sensors 

CONTACT(S): 

Jose Vergara 

(973) 724-5305 

jose.g.vergara.civ@mail.mil 

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