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Rickel, J., and Johnson, W.L., Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition, and Motor Control. Applied Artificial Intelligence 13:343-382, 1999.
Badler, N., Webber, B., Clarke, J., Chi, D., Hollick, M., Foster, N., Kokkevis, E., Ogunyemi, O., Metaxas, D., Kaye, J., and Bindiganavale, R. MediSim: Simulated Medical Corpsmen and Casualties for Medical Forces Planning and Training, National Forum on Military Telemedicine, IEEE, 1996, pp. 21-28.
Sticklen, J., and Chandrasekaran, B., Integrating Classification-based Compiled Level Reasoning with Function-based Deep Level Reasoning, Applied artificial Intelligence 3(2-3):275-304, 1989.
Chi, D., Kokkevis, E., Ogunyemi, O., Bindiganavale, R., Hollick, M., Clarke, J., Webber, B., and Badler, N. Simulated casualties and medics for emergency training, In K.S. Morgan, H.M. Hoffman, D. Stredney, and S.J. Weghorst (Eds.), Medicine Meets Virtual Reality. IOS, Amsterdam, 1997, pp. 486-494
Wolfgang Mueller-Wittig, Virtual Surgery, Tutorial 5, VSMM International Conference25-27September,2002, Korea, http://www.vsmm.org/2002/program/tutorial5.htm
Halvorsrud, R., Hagen, S., Fagernes, S., Mjelstad, S., and Romundstad, L. Trauma Team Training in a Distributed Virtual Emergency Room. Medicine Meets Virtual Reality 2003, Newport Beach, CA, USA.
Ponder, M., Herbelin, B., Molet, T., Schertenlieb, S., Ulicny, B., Papagiannakis, G., Magnenat-Thalmann, N., and Thalmann, D., Immersive VR Decision Training: Telling Interactive Stories Featuring Advanced Virtual Human Simulation Technologies, Ninth Eurographics Workshop on Virtual Environments (EGVE 2003).
Chi, D., Clarke, J., Webber, B., and Badler, N. Casualty Modeling for Real-Time Medical Training. Presence 5(4):359-366, 1996.
Bindiganavale, R., Schuler, W., Allbeck, J., Badler, N., Joshi, A., and Palmer, M., Dynamically Altering Agent Behaviors Using Natural Language Instructions, in Proceedings of Autonomous Agents 2000, (Barcelona, Spain, June 2000), pp. 293-300.
Swartout, W., Hill, R., Gratch, J., Johnson, W.L., Kyriakakis, C., LaBore, C., Lindheim, R., Marsella, S., Miraglia, D., Moore, B., Morie, J., Rickel, J., Thiebaux, M., Tuch, L., Whitney, R., and Douglas, J., 2001. Toward the Holodeck: Integrating Graphics, Sound, Character and Story, in Proceedings of the Autonomous Agents 2001 Conference, (Montreal, July 2001).
Lewis, M., and Jacobson, J., Communications of the ACM, 45, 1, January 2002. Special issue on Games Engines in Scientific Research.
Weld, D.S., and de Kleer, J. , Readings in Qualitative Reasoning about Physical Systems, Morgan Kaufmann, 1990
Baan, J. Arntzenius, A.C., and Yellin E.L. (Eds.) Cardiac Dynamics. Martinus Nijhoff, The Hague, 1980
Forbus, K.D. Qualitative Process Theory. Artificial Intelligence 24(1-3):85-168, 1984
Kuipers, B. Qualitative Simulation in Medical Physiology: A Progress Report. Technical Report, MIT/LCS/TM-280, 1985.
Kuipers, B. Commonsense Reasoning about Causality: Deriving Behaviour from Structure. Artificial Intelligence, 24(1-3):168-204, 1984.
Bratko, I. Mozetic, I., and Lavrac., N. KARDIO: a Study in Deep and Qualita-tive Knowledge for Expert Systems. MIT, Cambridge, MA, 1989.
Bylander T., Smith J.W., and Svirbley J.R., Qualitative Representation of Behaviour in the Medical Domain. Computers and Biomedical Research 21: 367-380, 1988.
Cavazza, M. Simulation Qualitative en Physiologie Cardiaque, in Proceedings of AFCET/RFIA’91 (Lyon, France, 1991), (in French).
Julen, N., Siregar, P., Sinteff, J.-P., and Le Beux, P., A Qualitative Model for Computer-Assisted Instruction in Cardiology, in Proceedings of AMIA 98, pp. 443-447.
Widman, L.E. Expert System Reasoning About Dynamic Systems by Semi-Quantitative Simulation. Computer Methods and Programs in Biomedicine 29:95-113.
Coiera, E.W. Monitoring Diseases with Empirical and Model Generated Histories. Artificial Intelligence in Medicine 2:135-147, 1990.
Guyton, A.C., and Hall, J.E., Textbook of Medical Physiology, WB Saunders, 2000.
Long W.J., Naimi, S., Criscitiello, M.G., Pauker, S.G., Kurzrok, S., and Szolovits, P. Reasoning about Therapy from a Physiological Model, in Pro-ceedings of MEDINFO’86 (Washington DC).
Cavazza, M., and Simo, A.A Virtual Patient Based on Qualitative Simulation. ACM Intelligent User Interfaces 2002, Miami, USA.
Honig, C.R. Modern Cardiovascular Physiology. Boston: Little Brown, 1988.
Simo, A., and Cavazza, M. Visualising Pathophysiological Simulation with a Virtual Patient. Seventh International Conference on Information Visualization (IV 2003), London, IEEE Computer Press, pp. 549-554.
Gratch, J., and Marsella, S., Tears and Fears: Modeling Emotions and Emo-tional Behaviors in Synthetic Agents, in Proceedings of the 5th International Conference on Autonomous Agents, (Montreal, Canada, June 2001).
Escaffre, D. Qualitative Reasoning on Physiological Systems: The Example of the Blood Pressure Regulation. In I. DeLotto and M. Stefanelli (Eds.), Artificial Intelligence in Medicine, Elsevier, New York.
De Kleer, J.“An Assumption-Based TMS,” Artificial Intelligence 28(2):127-162, 1986.
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Simo, A., Cavazza, M. (2007). Medical Education Interfaces Through Virtual Patients Based on Qualitative Simulation. In: Yoshida, H., Jain, A., Ichalkaranje, A., Jain, L.C., Ichalkaranje, N. (eds) Advanced Computational Intelligence Paradigms in Healthcare – 1. Studies in Computational Intelligence, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47527-9_10
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