A Contrastive Explanation Tool for Plans in Hybrid Domains-Reference-Cited by-同舟云学术

A Contrastive Explanation Tool for Plans in Hybrid Domains

Published:2024-02-22 Issue: Volume: Page:1-5
ISSN:
Container-title:Proceedings of the 17th Innovations in Software Engineering Conference
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Author:

Dey Devdan¹^ORCID,Sarwar Mir Md Sajid²^ORCID,Ray Rajarshi¹^ORCID,Banerjee Ansuman³^ORCID

Affiliation:

1. School of Mathematical and Computational Sciences, Indian Association for the Cultivation of Science, India

2. School of Mathematical and Computational Sciences, Indian Association for the Cultivation of Science, Kolkata, India

3. Advanced Computing and Microelectronics Unit, Indian Statistical Institute, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3641399.3641424

Reference16 articles.

1. Michael Cashmore, Anna Collins, Benjamin Krarup, Senka Krivic, Daniele Magazzeni, and David Smith. 2019. Towards explainable AI planning as a service. In 2nd ICAPS Workshop on Explainable Planning.

2. M. Cashmore, M. Fox, D. Long, and D. Magazzeni. 2016. A Compilation of the Full PDDL+ Language into SMT. In International Conference on Automated Planning and Scheduling 26 (mar 30 2016), 79–87.

3. Planning for Hybrid Systems via Satisfiability Modulo Theories

4. The Emerging Landscape of Explainable Automated Planning & Decision Making

5. Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Pai-Shun Ting, Karthikeyan Shanmugam, and Payel Das. 2018. Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives. In Advances in Neural Information Processing Systems 31: Annual Conference on NeurIPS 2018, December 3-8, 2018, Montréal, Canada. 590–601. https://proceedings.neurips.cc/paper/2018/hash/c5ff2543b53f4cc0ad3819a36752467b-Abstract.html