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We present the design of a meta-programming system for hybrid AI, integrating spatial model checking and machine learning. The proposed system architecture blends together different programming languages and execution technologies using a simplified, declarative meta-language. The design features a global-model-checking-alike execution model, backed up by a microservices architecture. The system is meant to be a follow up to the spatial model checker VoxLogicA currently used for research on declarative medical image analysis, aimed at explainable by construction artificial intelligence.

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Towards Hybrid-AI in Imaging Using VoxLogicA

  • 会议论文

  • 发表日期：

    2025年

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  • Gina Belmonte,
  • Laura Bussi,
  • Vincenzo Ciancia,
  • Diego Latella,
  • Mieke Massink

摘要

We present the design of a meta-programming system for hybrid AI, integrating spatial model checking and machine learning. The proposed system architecture blends together different programming languages and execution technologies using a simplified, declarative meta-language. The design features a global-model-checking-alike execution model, backed up by a microservices architecture. The system is meant to be a follow up to the spatial model checker VoxLogicA currently used for research on declarative medical image analysis, aimed at explainable by construction artificial intelligence.