Enables natural language interaction with Fujitsu's Social Digital Twin API, allowing users to execute economic and social simulations from LLMs.
Sponsored
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
01Analyze traffic simulations
02Generate simulation configurations from natural language
03Retrieve and display simulation lists
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05Start simulations
06Retrieve and analyze simulation results
Use Cases
01Verify effects of social and economic measures before real-world implementation
02Analyze traffic simulations and optimize traffic flow
03Generate simulation configurations from natural language descriptions