Reasoning about interaction for hospital decision making

  • Authors:
  • Hyunggu Jung

  • Affiliations:
  • Cheriton School of Computer Science, University of Waterloo

  • Venue:
  • AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
  • Year:
  • 2010

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Abstract

For our research, we present a model for reasoning about interaction in dynamic, time critical scenarios (such as decision making for hospital emergency room scenarios) In particular, we are concerned with how to incorporate a model of the possible bother generated when asking a user, to weigh this in as a cost of interaction, compared to the benefit derived from asking the user with the highest expected quality of decision A detailed method for modeling user bother is presented in Cheng [1], which includes reasoning about interaction (partial transfers of control or PTOCs) as well as about full transfers of control of the decision making (FTOCs) to another entity Distinct from Cheng's original model, attempts at FTOCs are in framed as PTOCs with the question Q: “Can you take over the decision making?” This then enables either a “yes” response, which results in an FTOC or a “no” response or silence.