Explainable Problem in clingo-dl Programs
DOI:
https://doi.org/10.1609/socs.v12i1.18593Keywords:
Problem Solving Using SearchAbstract
Research in explainable planning is becoming increasingly important as human-AI collaborations become more pervasive. An explanation is needed when the planning system’s solution does not match the human’s expectation. In this paper, we introduce the explainability problem in clingo-dl programs (XASP-D) because clingo-dl can effectively work with numerical scheduling, a problem similar to the explainable planning.Downloads
Published
2021-07-21
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Section
Student Papers