Fujitsu Social Digital Twin
Created3a3
Enables natural language interaction with Fujitsu's Social Digital Twin API, allowing users to execute economic and social simulations from LLMs.
About
Integrates Fujitsu's Social Digital Twin and Digital Rehearsal API with the Model Context Protocol (MCP), empowering Large Language Models (LLMs) to access and utilize Fujitsu's Digital Rehearsal API through natural language. This allows users to run simulations, analyze results, and verify the potential impacts of measures before real-world implementation, bridging the gap between LLMs and advanced simulation capabilities.
Key Features
- Analyze traffic simulations
- Generate simulation configurations from natural language
- Retrieve and display simulation lists
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- Start simulations
- Retrieve and analyze simulation results
Use Cases
- Verify effects of social and economic measures before real-world implementation
- Analyze traffic simulations and optimize traffic flow
- Generate simulation configurations from natural language descriptions
