Johnson et al., 2023 - Google Patents
Mapping artificial intelligence to the naval tactical kill chainJohnson et al., 2023
View PDF- Document ID
- 14915186008141460165
- Author
- Johnson B
- Green J
- Burns G
- Collier T
- Cornish R
- Curley K
- Freeman A
- Spears J
- Publication year
- Publication venue
- Naval Engineers Journal
External Links
Snippet
This work explores the use of artificial intelligence (AI) for enhancing the naval tactical kill chain. Naval operations place high demands on sailors to maintain situation awareness, conduct missions, and be prepared for conflict while operating a variety of warfare systems …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0631—Resource planning, allocation or scheduling for a business operation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/105—Human resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computer systems based on specific mathematical models
- G06N7/005—Probabilistic networks
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Cares | Distributed networked operations: The foundations of network centric warfare | |
Johansson | Evaluating the performance of TEWA systems | |
Johnson et al. | Artificial intelligence—an enabler of naval tactical decision superiority | |
Kwik et al. | Algorithmic fog of war: When lack of transparency violates the law of armed conflict | |
Araya et al. | The Impact of Artificial Intelligence on Military Defence and Security | |
Narayanan et al. | First-year report of ARL directors strategic initiative (FY20-23): artificial intelligence (AI) for command and control (C2) of multi-domain operations (MDO) | |
Moon et al. | Modeling and simulating command and control: for organizations under extreme situations | |
Johnson et al. | Mapping artificial intelligence to the naval tactical kill chain | |
Blasch et al. | Information fusion management: Collection to diffusion | |
Maas | Regulating for ‘normal AI accidents’–Operational lessons for the responsible governance of AI deployment | |
Kott et al. | Tools for real-time anticipation of enemy actions in tactical ground operations | |
Paradis et al. | Toward a generic model for situation and threat assessment | |
Johnson et al. | Game theory and prescriptive analytics for naval wargaming battle management aids | |
Steinberg | A model for threat assessment | |
van Norden et al. | Combining system and user belief on classification using the DSmT combination rule | |
Blum et al. | Probabilistic warnings in national security crises: Pearl Harbor revisited | |
Ramadhianto et al. | Implementation of Artificial Intelligence on Indonesia’s Defense Intelligence Activities | |
Cook et al. | Artificial intelligence in strategic planning and military operations | |
Plamondon | A frigate survival approach based on real-time multiagent planning | |
Boury-Brisset et al. | Benefits and Challenges of AI/ML in Support of Intelligence and Targeting in Hybrid Military Operations | |
Constantinescu et al. | Artificial intelligence and the future of defence planning and resources management | |
Sweetser et al. | Lessons from the MORS Workshop on Advancing Campaign Analytics | |
MATTIOLI et al. | Empowering Mission Preparation with AI | |
Favaro | Weapons of mass distortion | |
Burns et al. | SYSTEMS ENGINEERING CAPSTONE REPORT |