Visualizations for an Explainable Planning Agent

13 Sep 2017Tathagata ChakrabortiKshitij P. FadnisKartik TalamadupulaMishal DholakiaBiplav SrivastavaJeffrey O. KephartRachel K. E. Bellamy

In this paper, 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 especially important in order to establish trust and common ground with the end-to-end automated planning system... (read more)

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