AI RE Mission Planning CE: From Integration and Fusion to Adaptive SA at the Tactical Edge

NPS NRP Executive SummaryAI RE Mission Planning CE: From Integration and Fusion to Adaptive SA at the Tactical EdgeII Marine Expeditionary Forces (II MEF)Fleet Numerical Meteorology and Oceanography Center (FNMOC)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Improve the Effectiveness of the Decision-Maker Orientation Processes in Making Sense of the Events & Phenomena Presented by the Battlespace

NPS NRP Executive SummaryImprove the Effectiveness of the Decision-Maker Orientation Processes in Making Sense of the Events & Phenomena Presented by the BattlespaceFleet Numerical Meteorology and Oceanography Center (FNMOC)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Naval Integration into Joint Data Strategies and Architectures in JADC2

NPS NRP Executive SummaryAs Joint capabilities mature and shape into the Joint All Domain C2 Concept, Services, COCOMs and Coalition Partners will need to invest into efforts that would seamlessly integrate into Joint capabilities. The objective for the Navy is to study the options for Navy, including Naval Special Warfare Command under SOCOM, on how to integrate Navy's data strategy and architecture under the unifying JADC2 umbrella. The other objectives are to explore alternatives considered by the SOCOM and the Air Force, which are responsible for JADC2 Information Advantage and Digital Mission Command & Control. A major purpose of Joint, Services/COCOMs, agencies and Coalition Partners capabilities is to provide shared core of integrated canonical services for data, information, and knowledge with representations for vertical interoperability across all command levels and JADC2, lateral interoperability between Naval Service/COCOMs, and any combination of JADC2 constituents, agencies, and coalition partners. Our research plan is to explore available data strategy options by leveraging previous NRP work (NPS-20-N313-A). We will participate in emerging data strategy by Navy JADC2 project Overmatch. By working with MITRE our team will explore Air Force JADC2 data strategy implemented in ABMS DataOne component. Our goal is to find a seamless integration between Naval Data Strategy and data strategies behind JADC2 Information Advantage and Digital Mission Command & Control capabilities. Our plan includes studying Service-to-Service and Service-to-COCOM interoperability options required for Joint operations with a goal to minimize OODA's loop latency across sensing, situation discovery & monitoring, and knowledge understanding-for-planning, deciding, and acting. Our team realizes JADC2 requires virtual model allowing interoperability between subordinate C2 for services, agencies, and partner. Without such flexible 'joint' intersection organizational principal hierarchical structure it would be impossible to define necessary temporal and spatial fidelities for each level of organizational command required for implanting JADC2. Research deliverables will document the results of the exploration of Joint, COCOM, Agency and Partner Data Strategies approaches as JADC2 interoperability options to the emerging JADC2. We strive for standard JADC2 interface. Keywords: JADC2, ABMS, DataOne, Information Advantage, Digital Mission Command, IntegrationN2/N6 - Information WarfareThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Extending Cognitive Assistance with AI Courses of Action

NPS NRP Project PosterThe objectives of this study is to research and assess the initial stages of the evolution of Human-Machine Teaming (HMT) mission workflows which is focused on transitioning of automation tasks from humans to machines using a technique to digitize mission workflows. Also, study the advanced stage(s) of the evolution of HMT to include Courses-of-Action (COA) in Wargaming and how decision-making (DM) AI functions play what role natural language processing (NLP) plays. In addition, this study will explore the viability of NLP in HMT peer-to-peer COAs generation. Finally, this study will leverage complex Joint Naval Force EABO scenario (UNCLASS) designed by MCWL to explore NLP and distributed agents managing the decision making of operators using various modes of HMT interface of AI run-time execution agents thereby enriching digital workflows. The research questions that will be address will include: 1) What is the best approach for a cognitive assistant to learn mission workflows so that recommendations can be made to a human operator?, 2) How can cognitive assistants switch between modes of automatic, advisory, or monitoring?, 3) What are the key parameters for switching?, 4) How does the CA learn to switch to make appropriate recommendations?, 4) What is the cognitive intersection between domain specific environment awareness and situation awareness?, and 5) What happens when a target switches context? The methodology will use quantitative research methods. The methodology for this study will be based on SME input to gain an understanding of mission workflows and tasks, MCWL-developed Joint Force EABO scenario leveraged for a case study and collaboration with the Wargaming Center in Quantico, VA. Based on a scenario, the independent variables will be the inputs into the cognitive assistant. The dependent variable(s) are the output of the system such as if the system recommends the role of automatic, advisory, or monitoring. The plan for this study is to leverage a complex joint Naval Force EABO scenario in studying a role of enrichment digitization of the workflows including utilization of scenario-driven HMT modes and sub-modes; review digital workflows from Master Thesis: "Fire Support Coordination Cognitive Assistant", USMC Capt. Benjamin Herbold, NPS, Graduation Year: June 2020; gain understanding of wargaming COA Digital Mission Command Joint Forces hypergame; develop expertise on modes of Human-Machine Teaming control and their sub-modes of automatic, advisory, and monitoring; study evolution from a single "interactive" mode of HMT proposed for the Fire Support Coordination Digital Workflows to the planning phase in Fire Support Coordination; study NLP and associated theories as a framework to situate the research; and coordinate with other entities such as MIT LL, DARPA, BAE, USMC AI COI, MCWL, and ONR.HQMC Plans, Policies & Operations (PP&O)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Extending Cognitive Assistance with AI Courses of Action

NPS NRP Executive SummaryThe objectives of this study is to research and assess the initial stages of the evolution of Human-Machine Teaming (HMT) mission workflows which is focused on transitioning of automation tasks from humans to machines using a technique to digitize mission workflows. Also, study the advanced stage(s) of the evolution of HMT to include Courses-of-Action (COA) in Wargaming and how decision-making (DM) AI functions play what role natural language processing (NLP) plays. In addition, this study will explore the viability of NLP in HMT peer-to-peer COAs generation. Finally, this study will leverage complex Joint Naval Force EABO scenario (UNCLASS) designed by MCWL to explore NLP and distributed agents managing the decision making of operators using various modes of HMT interface of AI run-time execution agents thereby enriching digital workflows. The research questions that will be address will include: 1) What is the best approach for a cognitive assistant to learn mission workflows so that recommendations can be made to a human operator?, 2) How can cognitive assistants switch between modes of automatic, advisory, or monitoring?, 3) What are the key parameters for switching?, 4) How does the CA learn to switch to make appropriate recommendations?, 4) What is the cognitive intersection between domain specific environment awareness and situation awareness?, and 5) What happens when a target switches context? The methodology will use quantitative research methods. The methodology for this study will be based on SME input to gain an understanding of mission workflows and tasks, MCWL-developed Joint Force EABO scenario leveraged for a case study and collaboration with the Wargaming Center in Quantico, VA. Based on a scenario, the independent variables will be the inputs into the cognitive assistant. The dependent variable(s) are the output of the system such as if the system recommends the role of automatic, advisory, or monitoring. The plan for this study is to leverage a complex joint Naval Force EABO scenario in studying a role of enrichment digitization of the workflows including utilization of scenario-driven HMT modes and sub-modes; review digital workflows from Master Thesis: "Fire Support Coordination Cognitive Assistant", USMC Capt. Benjamin Herbold, NPS, Graduation Year: June 2020; gain understanding of wargaming COA Digital Mission Command Joint Forces hypergame; develop expertise on modes of Human-Machine Teaming control and their sub-modes of automatic, advisory, and monitoring; study evolution from a single "interactive" mode of HMT proposed for the Fire Support Coordination Digital Workflows to the planning phase in Fire Support Coordination; study NLP and associated theories as a framework to situate the research; and coordinate with other entities such as MIT LL, DARPA, BAE, USMC AI COI, MCWL, and ONR.HQMC Plans, Policies & Operations (PP&O)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Naval Integration into Joint Data Strategies and Architectures in JADC2

NPS NRP Project PosterAs Joint capabilities mature and shape into the Joint All Domain C2 Concept, Services, COCOMs and Coalition Partners will need to invest into efforts that would seamlessly integrate into Joint capabilities. The objective for the Navy is to study the options for Navy, including Naval Special Warfare Command under SOCOM, on how to integrate Navy's data strategy and architecture under the unifying JADC2 umbrella. The other objectives are to explore alternatives considered by the SOCOM and the Air Force, which are responsible for JADC2 Information Advantage and Digital Mission Command & Control. A major purpose of Joint, Services/COCOMs, agencies and Coalition Partners capabilities is to provide shared core of integrated canonical services for data, information, and knowledge with representations for vertical interoperability across all command levels and JADC2, lateral interoperability between Naval Service/COCOMs, and any combination of JADC2 constituents, agencies, and coalition partners. Our research plan is to explore available data strategy options by leveraging previous NRP work (NPS-20-N313-A). We will participate in emerging data strategy by Navy JADC2 project Overmatch. By working with MITRE our team will explore Air Force JADC2 data strategy implemented in ABMS DataOne component. Our goal is to find a seamless integration between Naval Data Strategy and data strategies behind JADC2 Information Advantage and Digital Mission Command & Control capabilities. Our plan includes studying Service-to-Service and Service-to-COCOM interoperability options required for Joint operations with a goal to minimize OODA's loop latency across sensing, situation discovery & monitoring, and knowledge understanding-for-planning, deciding, and acting. Our team realizes JADC2 requires virtual model allowing interoperability between subordinate C2 for services, agencies, and partner. Without such flexible 'joint' intersection organizational principal hierarchical structure it would be impossible to define necessary temporal and spatial fidelities for each level of organizational command required for implanting JADC2. Research deliverables will document the results of the exploration of Joint, COCOM, Agency and Partner Data Strategies approaches as JADC2 interoperability options to the emerging JADC2. We strive for standard JADC2 interface. Keywords: JADC2, ABMS, DataOne, Information Advantage, Digital Mission Command, IntegrationN2/N6 - Information WarfareThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Naval Integration into Joint Data Strategies and Architectures in JADC2

NPS NRP Technical ReportAs Joint capabilities mature and shape into the Joint All Domain C2 Concept, Services, COCOMs and Coalition Partners will need to invest into efforts that would seamlessly integrate into Joint capabilities. The objective for the Navy is to study the options for Navy, including Naval Special Warfare Command under SOCOM, on how to integrate Navy's data strategy and architecture under the unifying JADC2 umbrella. The other objectives are to explore alternatives considered by the SOCOM and the Air Force, which are responsible for JADC2 Information Advantage and Digital Mission Command & Control. A major purpose of Joint, Services/COCOMs, agencies and Coalition Partners capabilities is to provide shared core of integrated canonical services for data, information, and knowledge with representations for vertical interoperability across all command levels and JADC2, lateral interoperability between Naval Service/COCOMs, and any combination of JADC2 constituents, agencies, and coalition partners. Our research plan is to explore available data strategy options by leveraging previous NRP work (NPS-20-N313-A). We will participate in emerging data strategy by Navy JADC2 project Overmatch. By working with MITRE our team will explore Air Force JADC2 data strategy implemented in ABMS DataOne component. Our goal is to find a seamless integration between Naval Data Strategy and data strategies behind JADC2 Information Advantage and Digital Mission Command & Control capabilities. Our plan includes studying Service-to-Service and Service-to-COCOM interoperability options required for Joint operations with a goal to minimize OODA's loop latency across sensing, situation discovery & monitoring, and knowledge understanding-for-planning, deciding, and acting. Our team realizes JADC2 requires virtual model allowing interoperability between subordinate C2 for services, agencies, and partner. Without such flexible 'joint' intersection organizational principal hierarchical structure it would be impossible to define necessary temporal and spatial fidelities for each level of organizational command required for implanting JADC2. Research deliverables will document the results of the exploration of Joint, COCOM, Agency and Partner Data Strategies approaches as JADC2 interoperability options to the emerging JADC2. We strive for standard JADC2 interface. Keywords: JADC2, ABMS, DataOne, Information Advantage, Digital Mission Command, IntegrationN2/N6 - Information WarfareThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Extending Cognitive Assistance with AI Courses of Action

NPS NRP Technical ReportThe objectives of this study is to research and assess the initial stages of the evolution of Human-Machine Teaming (HMT) mission workflows which is focused on transitioning of automation tasks from humans to machines using a technique to digitize mission workflows. Also, study the advanced stage(s) of the evolution of HMT to include Courses-of-Action (COA) in Wargaming and how decision-making (DM) AI functions play what role natural language processing (NLP) plays. In addition, this study will explore the viability of NLP in HMT peer-to-peer COAs generation. Finally, this study will leverage complex Joint Naval Force EABO scenario (UNCLASS) designed by MCWL to explore NLP and distributed agents managing the decision making of operators using various modes of HMT interface of AI run-time execution agents thereby enriching digital workflows. The research questions that will be address will include: 1) What is the best approach for a cognitive assistant to learn mission workflows so that recommendations can be made to a human operator?, 2) How can cognitive assistants switch between modes of automatic, advisory, or monitoring?, 3) What are the key parameters for switching?, 4) How does the CA learn to switch to make appropriate recommendations?, 4) What is the cognitive intersection between domain specific environment awareness and situation awareness?, and 5) What happens when a target switches context? The methodology will use quantitative research methods. The methodology for this study will be based on SME input to gain an understanding of mission workflows and tasks, MCWL-developed Joint Force EABO scenario leveraged for a case study and collaboration with the Wargaming Center in Quantico, VA. Based on a scenario, the independent variables will be the inputs into the cognitive assistant. The dependent variable(s) are the output of the system such as if the system recommends the role of automatic, advisory, or monitoring. The plan for this study is to leverage a complex joint Naval Force EABO scenario in studying a role of enrichment digitization of the workflows including utilization of scenario-driven HMT modes and sub-modes; review digital workflows from Master Thesis: "Fire Support Coordination Cognitive Assistant", USMC Capt. Benjamin Herbold, NPS, Graduation Year: June 2020; gain understanding of wargaming COA Digital Mission Command Joint Forces hypergame; develop expertise on modes of Human-Machine Teaming control and their sub-modes of automatic, advisory, and monitoring; study evolution from a single "interactive" mode of HMT proposed for the Fire Support Coordination Digital Workflows to the planning phase in Fire Support Coordination; study NLP and associated theories as a framework to situate the research; and coordinate with other entities such as MIT LL, DARPA, BAE, USMC AI COI, MCWL, and ONR.HQMC Plans, Policies & Operations (PP&O)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Digital Mission Command in the Joint Force Operations

NPS NRP Project PosterThe Naval Special Warfare Command (NAVSPECWARCOM) needs to envision and design a C5I systems architecture so hyper-networked that SOF personnel will acquire emergent and disaggregate information, plan/decide/act faster; and use disruptive technologies to create decisive effects in all domains. Adopting Digital Mission Command (DMC) in Joint All Domain Command & Control (JADC2) environment assures asymmetric advantage for SA, decision timeliness and knowledge ubiquity. Our prime research objective advances this by designing a "SA knowledge" service, an adaptive service closing a feedback loop between the dynamic world view and an operator's decision space over this view. The aim is to address the customer's research objective which is dynamically managing discerning workflows at the tactical edge. The approach on this study will define major functional requirements for the disruptive storage. This will include exploring the suitability of multi-dimensional cubes storage for DMC of the Future. Our research team will envision how to represent battlespace situations via graph data models using events to make it adaptive to the world view. We'll also delve into multiple contexts available for a given situation. Finally, we'll explore an idea of a "world state" for a given situations, and how to use "action" events to present dynamic world model by moving from one "world state" to the other. The results of studying current and envisioned architectures to ensure alignment must be captured in IPR presentations and a final report. They will include proposed C5I architecture based on disruptive technologies with recommendations for envisioned capabilities that satisfy future requirements. Our research will ensure proposed C5I architecture will be scalable and extensible.Naval Special Warfare Command (NAVSPECWARCOM)N7 - Warfighting DevelopmentThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Digital Mission Command in the Joint Force Operations

NPS NRP Executive SummaryThe Naval Special Warfare Command (NAVSPECWARCOM) needs to envision and design a C5I systems architecture so hyper-networked that SOF personnel will acquire emergent and disaggregate information, plan/decide/act faster; and use disruptive technologies to create decisive effects in all domains. Adopting Digital Mission Command (DMC) in Joint All Domain Command & Control (JADC2) environment assures asymmetric advantage for SA, decision timeliness and knowledge ubiquity. Our prime research objective advances this by designing a "SA knowledge" service, an adaptive service closing a feedback loop between the dynamic world view and an operator's decision space over this view. The aim is to address the customer's research objective which is dynamically managing discerning workflows at the tactical edge. The approach on this study will define major functional requirements for the disruptive storage. This will include exploring the suitability of multi-dimensional cubes storage for DMC of the Future. Our research team will envision how to represent battlespace situations via graph data models using events to make it adaptive to the world view. We'll also delve into multiple contexts available for a given situation. Finally, we'll explore an idea of a "world state" for a given situations, and how to use "action" events to present dynamic world model by moving from one "world state" to the other. The results of studying current and envisioned architectures to ensure alignment must be captured in IPR presentations and a final report. They will include proposed C5I architecture based on disruptive technologies with recommendations for envisioned capabilities that satisfy future requirements. Our research will ensure proposed C5I architecture will be scalable and extensible.Naval Special Warfare Command (NAVSPECWARCOM)N7 - Warfighting DevelopmentThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.