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September 17, 2025Proceedings of the International Conference on Automated Planning and SchedulingOpen Access

Knowledge Engineering for Planning and Scheduling in the LLM Era

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Authors

MVMauro VallatiRBRoman BartákLCLukáš Chrpa

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Overview

Research shows large language models can assist knowledge acquisition in planning and scheduling, highlighting the enduring need for human expertise.

Key Points

  • LLMs can streamline knowledge engineering processes, enhancing knowledge acquisition in planning scenarios.
  • Explicit domain knowledge represented in PDDL is essential for generating effective planning solutions.
  • Human domain expertise remains crucial for validating correctness and operationality in planning applications.
  • The study explores the application of LLMs in safety-related contexts, emphasizing their potential and limitations.

Cite This Study

Vallati et al. (2025) studied this question.

synapsesocial.com/papers/68d4566c31b076d99fa5bae1https://doi.org/10.1609/icaps.v35i1.36142
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