Artificial Intelligence in Medicine
Volume 38, Issue 1 , Pages 25-46 , September 2006

An intelligent tutoring system that generates a natural language dialogue using dynamic multi-level planning

  • Chong Woo Woo

      Affiliations

    • School of Computer Science, Kookmin University, 861-1 Chongnung-Dong, Sungbuk-Ku, Seoul, Republic of Korea
    • ,
  • Martha W. Evens

      Affiliations

    • Computer Science Department, Illinois Institute of Technology, Room 236, 10 West 31st Street, Chicago, IL 60616, USA
    • Corresponding Author InformationCorresponding author. Tel.: +1 312 567 5153; fax: +1 312 567 5067.
    • ,
  • Reva Freedman

      Affiliations

    • Northern Illinois University, De Kalb, IL 60115, USA
    • ,
  • Michael Glass

      Affiliations

    • Valparaiso University, Valparaiso, IN 46383, USA
    • ,
  • Leem Seop Shim

      Affiliations

    • HS Tech, Inc., 26500 Agoura Road, Suite #108, Calabasas, CA 91302, USA
    • ,
  • Yuemei Zhang

      Affiliations

    • Wells Fargo - N9301-01J, 255 Second Avenue South, Minneapolis, MN 55479, USA
    • ,
  • Yujian Zhou

      Affiliations

    • WebEx Communications, Inc., 3979 Freedom Circle, Santa Clara, CA 95054, USA
    • ,
  • Joel Michael

      Affiliations

    • Department of Molecular Biophysics and Physiology, Rush Medical College, 1750 West Harrison, Chicago, IL 60612, USA

Received 16 February 2005 ,Revised 14 October 2005 ,Accepted 21 October 2005.

  • Image Result

    The causal concept map. (An arrow from box A to box B means that parameter A immediately determines parameter B. A plus sign indicates that this relationship is direct; a minus sign indicates that it

    The causal concept map. (An arrow from box A to box B means that parameter A immediately determines parameter B. A plus sign indicates that this relationship is direct; a minus sign indicates that it is inverse.) RV: venous resistance, PIT: intrathoracic pressure, CVP: central venous pressure, CBV: central blood volume, BV: blood volume, SV: Stroke Volume, CO: Cardiac Output, MAP: mean arterial pressure, BR: baroreceptor reflex, CNS: central nervous system, IS: inotropic state, HR: heart rate, TPR: total peripheral resistance.

  • Image Result
    A CIRCSIM–Tutor screen from version 2.8 (November 1999).

    A CIRCSIM–Tutor screen from version 2.8 (November 1999).

  • Image Result
    The architecture of CIRCSIM–Tutor.

    The architecture of CIRCSIM–Tutor.

  • Image Result
    The structure of the instructional planner.

    The structure of the instructional planner.

  • Image Result
    Structure of the lesson planner.

    Structure of the lesson planner.

  • Image Result
    Ontology of responses indicating a neural mechanism in CIRCSIM–Tutor.

    Ontology of responses indicating a neural mechanism in CIRCSIM–Tutor.

  • Image Result
    Lexical functional grammar functional structure for the sentence: “What are the determinants of Stroke Volume?”.

    Lexical functional grammar functional structure for the sentence: “What are the determinants of Stroke Volume?”.

  • Image Result
    Lexical functional grammar constituent structure for “What are the determinants of Stroke Volume?” (Adapted from Chang [13] p. 38).

    Lexical functional grammar constituent structure for “What are the determinants of Stroke Volume?” (Adapted from Chang [13] p. 38).

PII: S0933-3657(05)00109-0

doi: 10.1016/j.artmed.2005.10.004

Artificial Intelligence in Medicine
Volume 38, Issue 1 , Pages 25-46 , September 2006

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