Explainable Planning

@article{Fox2017ExplainableP,
  title={Explainable Planning},
  author={Maria Fox and Derek Long and Daniele Magazzeni},
  journal={CoRR},
  year={2017},
  volume={abs/1709.10256}
}
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… CONTINUE READING
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University of Trento

  • Andrea Micheli. Planning, Scheduling in Temporally Uncertain Domains. PhD thesis
  • Italy,
  • 2016
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