1st ICAPS Workshop on Explainable Planning (XAIP-2018)
Delft, The Netherlands, 24 June 2018.
David Aha, Naval Research Laboratory
Relating XAI (Explainable AI) to XAIP (XAI Planning)
The DARPA Explainable AI (XAI) program is a high-profile effort, among many, whose objective is to encourage research on AI systems whose models and decisions are more accessible and transparent to users. Yet the common focus of DARPA XAI's 11 projects is machine learning; it could have been called XML rather than XAI. Still, it is raising awareness that AI researchers need to collaborate with social scientists, and others, on the design and evaluation of XAI systems. This also applies broadly to other XAI efforts, including those of interest to the ICAPS community. In this talk, I'll summarize the objectives and status of DARPA XAI, emphasizing some topics of interest to XAIP. I'll also discuss/relate some work on XAIP that has appeared at the IJCAI-17 XAI Workshop, or will appear at the upcoming IJCAI/ECAI-18 XAI Workshop, which has a broad XAI focus (i.e., not limited to ML).
9:00   Welcome and Introduction
9:10   Invited Talk: Relating XAI (Explainable AI) to XAIP (Explainable Planning), David Aha.
10:10   Human-Aware Planning Revisited: A Tale of Three Models, Tathagata Chakraborti, Sarath Sreedharan, and Subbarao Kambhampati.
10:30   Coffee Break
11:00   Explaining Rebel Behavior in Goal Reasoning Agents, Dustin Dannenhauer, Michael Floyd, Daniele Magazzeni, and David Aha.
11:20   Action Selection for Transparent Planning, Aleck Macnally, Nir Lipovetzky, Miquel Ramírez, and Adrian Pearce.
11:40   Moral Permissibility of Action Plans, Felix Lindner, Robert Mattmüller, and Bernhard Nebel.
12:00   Explaining Agents Plans with Valuings, Michael Winikoff, Virginia Dignum, and Frank Dignum
13:40   Explicability as Minimizing Distance from Expected Behavior, Anagha Kulkarni, Yu Zhang, Tathagata Chakraborti, and Subbarao Kambhampati.
14:00   Generating Explanations for Mathematical Optimisation: Solution Framework and Case Study, Christina Burt, Katerina Klimova, and Bernhard Primas.
14:20   What was I planning to do?, Mark Roberts, Isaac Monteath, Raymond Sheh, David Aha, Piyabutra Jampathom, Keith Akins, Eric Sydow, Vikas Shivashankar, and Claude Sammut.
14:40   Plan Explanation Through Search in an Abstract Model Space: Extended Results, Sarath Sreedharan, Midhun Pookkottil Madhusoodanan, Siddharth Srivastava, and Subbarao Kambhampati
15:00   Coffee Break
15:30   Challenges in Explainable Planning for Space Operations, Simone Fratini and Nicola Policella
15:50   Improving Explanation and Effectiveness of Interactions among Autonomous Vehicles and Pedestrians, Sara Manzoni, Simone Fontana, Andrea Gorrini, Domenico G. Sorrenti, and Stefania Bandini
16:10   Visualizations for an Explainable Planning Agent, Tathagata Chakraborti, Kshitij Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, and Rachel K. E. Bellamy
16:30   Towards Explanation-Supportive Knowledge Engineering for Planning, Mauro Vallati, Lee Mccluskey, and Lukas Chrpa
The proceedings can be found here.
- Susanne Biundo, Ulm University
- Pat Langley, University of Auckland
- Daniele Magazzeni, King’s College London
- David Smith
- Susanne Biundo (University of Ulm)
- John Bresina (NASA)
- Tathagata Chakraborti (Arizona State University)
- Dustin Dannenhauer (Naval Research Laboratory)
- Jeremy Frank (NASA)
- Pat Langley (University of Auckland)
- Daniele Magazzeni (King’s College London)
- Matthew Molineaux (Knexus Research Corporation)
- Mark Roberts (Naval Research Laboratory)
- David Smith
- Siddharth Srivastava (ASU)
- Kartik Talamadupula (IBM)