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This paper presents a cognitively enhanced medical scheduling framework that combines Answer Set Programming (ASP) with L-DINF, an epistemic logic-based agent model. While ASP and Blueprint Personas capture constraints and preferences, they lack adaptability. L-DINF agents overcome this by reasoning about beliefs, intentions, and actions, enabling adaptive and explainable decision-making (Research partially supported by the PNRR Project CUP E13C24000430006 “Enhanced Network of intelligent Agents for Building Livable Environments - ENABLE”, and by PRIN 2022 CUP E53D23007850001 Project TrustPACTX - Design of the Hybrid Society Humans-Autonomous Systems: Architecture, Trustworthiness, Trust, EthiCs, and EXplainability (the case of Patient Care), and by PRIN PNNR CUP E53D23016270001 ADVISOR - ADaptiVe legIble robotS for trustwORthy health coaching).

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Integrating Cognitive Reasoning Into Medical Scheduling: a Transition from ASP Personas to L-DINF Agents

  • 会议论文

  • 发表日期：

    2026年

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  • Stefania Costantini,
  • Valentina Pitoni

摘要

This paper presents a cognitively enhanced medical scheduling framework that combines Answer Set Programming (ASP) with L-DINF, an epistemic logic-based agent model. While ASP and Blueprint Personas capture constraints and preferences, they lack adaptability. L-DINF agents overcome this by reasoning about beliefs, intentions, and actions, enabling adaptive and explainable decision-making (Research partially supported by the PNRR Project CUP E13C24000430006 “Enhanced Network of intelligent Agents for Building Livable Environments - ENABLE”, and by PRIN 2022 CUP E53D23007850001 Project TrustPACTX - Design of the Hybrid Society Humans-Autonomous Systems: Architecture, Trustworthiness, Trust, EthiCs, and EXplainability (the case of Patient Care), and by PRIN PNNR CUP E53D23016270001 ADVISOR - ADaptiVe legIble robotS for trustwORthy health coaching).