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Visualizations for an Explainable Planning Agent
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
In this demonstration, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human-in-the-loop decision-making. Imposing transparency and explainability requirements on such agents is crucial for establishing human trust and common ground with an end-to-end automated planning system. Visualizing the agent's internal decision making processes is a crucial step towards achieving this. This may include externalizing the "brain" of the agent:
doi:10.24963/ijcai.2018/849
dblp:conf/ijcai/ChakrabortiFTDS18
fatcat:2en3wd3hqrahpcu3sphfkihrei