A Data-Centric Distributed Agentic Framework for DAF Simulation

GENESIS (Gen-AI Network for Enhanced Simulation Integration and Security) aims to integrate AI agents into simulation environments safely, securely, and reliably. Utilizing the OMG DDS standard, particularly RTI’s Connext DDS, GENESIS completes the stack for a multi-agent simulation integration.Key Objectives1. Safety: Ensure safe AI agent operation through comprehensive state monitoring and semantic-level interaction, including tools for semantic analysis, logging, and real-time monitoring.2. Security: Implement a multi-faceted security environment leveraging Connext DDS’s existing mechanisms with additional semantic controls, including fine-grained access control, encryption, and content monitoring.3. Reliability: Provide a standardized communication layer using DDS for inter-agent communication, facilitating real-time data exchange and supporting integration with MATLAB/Simulink and future integration with AFSIM. This includes communication libraries for widely used agent frameworks like Semantic Kernel and LangChain.Technical Approach- Discovery: Enable endpoints to discover each other without network configuration.- Security: Provide built-in access control, authentication, encryption, and semantic oversight.- Data Delivery: Ensure data is presented as known structures, eliminating integration issues with additional agents/services- Content Filtering and Keying: Allow endpoints to send data only when needed by others.- Comprehensive monitoring: Enable oversight, model training, and in context agent improvement through agent input/output state data.Phase II Technical Objectives and Key Results1. Develop Comprehensive State Monitoring and Interaction  - Implement tools for semantic analysis and logging.  - Demonstrate real-time monitoring in a test environment.2. Develop Multi-faceted Security Environment  - Implement fine-grained access control policies.  - Integrate semantic controls for monitoring communications.3. Develop Seamless Integration with MATLAB/Simulink  - Implement and test the MATLAB/Simulink plug-in.  - Develop an initial integration plan for AFSIM.4. Develop a Collaborative AI Environment  - Implement DDS-based communication for real-time data exchange.  - Develop tools for collaborative task planning and execution.5. Develop and Demonstrate Inter-agent Library  - Develop communication libraries for Python, C#, and JavaScript.  - Conduct multiple demonstrations to stakeholders and gather feedback.