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Canadian Conference on Artificial Intelligence

Canadian AI 2010: Advances in Artificial Intelligence pp 319–323Cite as

A Model for Reasoning about Interaction with Users in Dynamic, Time Critical Environments for the Application of Hospital Decision Making

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 6085)

Abstract

In this paper, we present a model for reasoning about interaction with users in dynamic, time critical environments in a way that is sensitive to the cost of bother. We project the model into the scenario of decision making in hospital emergency room settings, providing a framework for modeling the doctors in that environment, to determine whom to ask to attend to a current patient. A simulation of our model demonstrates that it offers valuable improvements due to its reasoning about bother.

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  • DOI: 10.1007/978-3-642-13059-5_37
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References

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Author information

Authors and Affiliations

  1. Cheriton School of Computer Science, University of Waterloo,  

    Hyunggu Jung & Robin Cohen

Authors
  1. Hyunggu Jung
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  2. Robin Cohen
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Editor information

Editors and Affiliations

  1. NLP Technologies Inc., 1255 University Street, H3B 3W9, Montreal, Quebec, Canada

    Atefeh Farzindar

  2. Dalhousie University, Faculty of Computer Science, 6050 University Ave, Halifax, B3H 1W5, Nova Scotia, Canada

    Vlado Kešelj

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© 2010 Springer-Verlag Berlin Heidelberg

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Jung, H., Cohen, R. (2010). A Model for Reasoning about Interaction with Users in Dynamic, Time Critical Environments for the Application of Hospital Decision Making. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_37

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  • DOI: https://doi.org/10.1007/978-3-642-13059-5_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13058-8

  • Online ISBN: 978-3-642-13059-5

  • eBook Packages: Computer ScienceComputer Science (R0)