Explainable Problem in clingo-dl Programs

Authors

  • Van Nguyen New Mexico State University
  • Tran Cao Son New Mexico State University
  • William Yeoh Washington University in St. Louis

Keywords:

Problem Solving Using Search

Abstract

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.

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Published

2021-07-21