Multi-Domain Information Layer for Autonomous Decision-Making
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Solution Overview
Problem
Integrated warfighting systems face challenges in multi-domain operations due to slow decision-making cycles and difficulties in communicating across different security and data domains, proprietary protocols, and organizational doctrines, limiting their ability to transition into autonomous or semi-autonomous workflows.
Innovation Solution
A multi-domain information layer is introduced, utilizing a data construct that collects and manages data across multiple domains, generates domain-agnostic information through classification tags, and employs a common structured information layer to facilitate autonomous operations by automating data collection and decision-making processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional data collection and sensor processing systems are used, then data management is achieved, but decision-making cycles become too slow for evolving threats
Solution Approach 1:
The patent introduces an information layer as an intermediary between the data layer and decision-making processes. This information layer processes and structures raw data into actionable information, enabling faster decision-making by pre-processing data before it reaches decision-makers, thus reducing the OODA loop time while maintaining threat response capability
Solution Approach 2:
The system performs preliminary actions by continuously processing and structuring data into information in advance, before decisions are required. The information layer maintains pre-processed, structured information ready for immediate use, eliminating the need to process raw data during critical decision moments, thereby reducing decision-making cycle time
2Reliability
If proprietary protocols and organizational doctrines are maintained across domains, then domain security is preserved, but communication across domains becomes challenging
Solution Approach 1:
The information layer acts as a mediator that receives data from multiple domains with different proprietary protocols, processes it into a common information structure, and distributes it across domains. This intermediary layer enables cross-domain communication while preserving the security and protocol integrity of individual domains, as each domain continues to use its own protocols but communicates through the standardized information layer
Solution Approach 2:
The information layer provides a universal interface that works across all domains regardless of their specific protocols or doctrines. It performs multiple functions including data reception, processing, structuring, and distribution, enabling a single system to handle diverse domain-specific requirements while maintaining a common communication framework
3Difficulty of detecting and measuring
If advanced data analytics and machine learning algorithms are deployed, then data processing capability is improved, but transition to autonomous workflows remains difficult without a common information layer
Solution Approach 1:
The information layer serves as an intermediary that bridges advanced data analytics capabilities with autonomous workflow requirements. It structures processed data into a common format that autonomous systems can consume, enabling the transition from manual to autonomous workflows by providing a standardized information interface that machine learning algorithms can output to and autonomous systems can input from
Data Source
AI summary
A method for automated operational services across multiple data domains includes receiving requirement information related to one or more targets of interest. Information related to the one or more targets of interest is collected from one or more data sources across multiple data domains based on the received requirement information. A determination is made if the collected information meets the received requirements related to the one or more targets of interest. A classification tag containing domain agnostic information related to the one or more targets of interest is generated, responsive to determining that the collected information meets the received requirements.