mlsanityData to 14 Oct 2026

Explainable Planning

arXiv 1709.10256 ↗First posted 29 Sep 2017cs.AIcited by 40

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Abstract (arXiv)

As AI is increasingly being adopted into application solutions, the challenge of supporting interaction with humans is becoming more apparent. Partly this is to support integrated working styles, in which humans and intelligent systems cooperate in problem-solving, but also it is a necessary step in the process of building trust as humans migrate greater responsibility to such systems. The challenge is to find effective ways to communicate the foundations of AI-driven behaviour, when the algorithms that drive it are far from transparent to humans. In this paper we consider the opportunities that arise in AI planning, exploiting the model-based representations that form a familiar and common basis for communication with users, while acknowledging the gap between planning algorithms and human problem-solving.

Key facts. Cited by 40 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Sep 2017.

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Citing papers per year: 2021: 13; 2022: 9; 2023: 4; 2024: 8; 2025: 4; 2026: 2.

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  1. 2021Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunitiescited by 125
  2. 2021What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Researchcited by 119
  3. 2021Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directionscited by 73
  4. 2022Logic-Based Explainability in Machine Learningcited by 48
  5. 2021To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methodscited by 26
  6. 2021Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Surveycited by 24
  7. 2021Contrastive Explanations of Plans Through Model Restrictionscited by 16
  8. 2021Directive Explanations for Actionable Explainability in Machine Learning Applicationscited by 14
  9. 2024Challenges in Human-Agent Communicationcited by 12
  10. 2021A Research Agenda for AI Planning in the Field of Flexible Production Systemscited by 8
  11. 2023Logic programming for deliberative robotic task planningcited by 8
  12. 2023Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planningcited by 8
28 more
  1. 2024Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logiccited by 6
  2. 2022Explaining Preference-driven Schedules: the EXPRES Frameworkcited by 5
  3. 2023Efficiently Explaining CSPs with Unsatisfiable Subset Optimization (extended algorithms and examples)cited by 5
  4. 2024Counterfactual Influence in Markov Decision Processescited by 5
  5. 2021Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentialscited by 4
  6. 2021Rule-based Shielding for Partially Observable Monte-Carlo Planningcited by 2
  7. 2022Causal Explanations for Sequential Decision Making Under Uncertaintycited by 2
  8. 2022Conflict-Based Search for Explainable Multi-Agent Path Findingcited by 1
  9. 2022Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanationscited by 1
  10. 2022Fairness in Multi-Agent Planningcited by 1
  11. 2023Safe Explicable Planningcited by 1
  12. 2024On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarioscited by 1
  13. 2024Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanationcited by 1
  14. 2026Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMscited by 1
  15. 2021Argument Schemes and Dialogue for Explainable Planningcited by 0
  16. 2021Efficiently Explaining CSPs with Unsatisfiable Subset Optimizationcited by 0
  17. 2021Encoding Compositionality in Classical Planning Solutionscited by 0
  18. 2022Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RLcited by 0
  19. 2022Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc Teamworkcited by 0
  20. 2022A Socially Assistive Robot using Automated Planning in a Paediatric Clinical Settingcited by 0
  21. 2024Cloud Kitchen: Using Planning-based Composite AI to Optimize Food Delivery Processescited by 0
  22. 2024Approximating Human Models During Argumentation-based Dialoguescited by 0
  23. 2024BaTCAVe: Trustworthy Explanations for Robot Behaviorscited by 0
  24. 2025Counterfactual Explanations as Planscited by 0
  25. 2025Safe Explicable Policy Searchcited by 0
  26. 2025Preprint: Exploring Inevitable Waypoints for Unsolvability Explanation in Hybrid Planning Problemscited by 0
  27. 2025What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Roboticscited by 0
  28. 2026Probabilistic Plan Legibility with Off-the-shelf Plannerscited by 0