Qualitative Simulation as Causal Explanation

IEEE Transactions on Systems, Man and Cybernetics

Volumn 17, Issue 3, 1987, Pages 432-444

  Kuipers, Benjamin ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY AND ANALYSIS - MEDICAL APPLICATIONS; SYSTEMS SCIENCE AND CYBERNETICS - HIERARCHICAL SYSTEMS;

MEDICAL DIAGNOSIS; QSIM ALGORITHM; QUALITATIVE SIMULATION; WATER BALANCE MECHANISM;

BIOMEDICAL ENGINEERING;

EID: 0023349381     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/TSMC.1987.4309059     Document Type: Article

References (33)

1. I.J. Asbell, “A constraint representation and explanation facility for renal physiology,” MIT Lab. Computer Science, Cambridge, MA, Tech. Rep. TR-318, 1984.
2. B. Chandrasekaran, F. Gomez, S. Mittal, and J. Smith, “An approach to medical diagnosis based on conceptual structures,” in Proc. 6th Int. Joint Conf. Artificial Intelligence (IJCAI-79). Stanford, CA: Stanford Univ. Press, 1979.
3. R. Davis, “Interactive transfer of expertise: Acquisition of new inference rules,” Artificial Intelligence, vol. 12, pp. 121–158, 1979.
4. R. Davis, “Diagnostic reasoning based on structure and behavior,” Artificial Intelligence, vol. 24, pp. 347–410, 1984.
5. J. de Kleer, “The origin and resolution of ambiguities in causal arguments,” in Proc. 6th Int. Joint Conf. Artificial Intelligence, Tokyo, Japan, 1979.
6. J. de Kleer, “How circuits work,” Artificial Intelligence, vol. 24, pp. 205–280, 1984.
7. J. de Kleer and J.S. Brown, “A qualitative physics based on confluences,” Artificial Intelligence, vol. 24, pp. 7–83, 1984.
8. J. de Kleer and J.S. Brown, “Theories of causal ordering,” Artificial Intelligence, vol. 29, pp. 33–61, 1986.
9. A.S. Elstein, L.S. Shulman, and S.A. Sprafka, Medical Problem Solving; An analysis of Clinical Reasoning. Cambridge, MA: Harvard Univ. Press, 1978.
10. K.D. Forbus, “Qualitative process theory,” Artificial Intelligence, vol. 24, pp. 85–168, 1984.
11. M.R. Genesereth, “The use of design descriptions in automated diagnosis,” Artificial Intelligence, vol. 24, pp. 411–436, 1984.
12. Y. Iwasaki and H.A. Simon, “Causality in device behavior,” Artificial Intelligence, vol. 29, pp. 3–32, 1986.
13. J.P. Kassirer and G.A. Gorry, “Clinical problem solving: A behavioral analysis.” Ann. Internal Med., vol. 89, pp. 245–255, 1978.
14. B.J. Kuipers, “Commonsense reasoning about causality: Deriving behavior from structure,” Artificial Intelligence, vol. 24, pp. 169–204, 1984.
15. B.J. Kuipers, “The limits of qualitative simulation,” in Proc. 9th Int. Joint Conf. Artificial Intelligence (IJCAI-85). Los Altos, CA: Kaufman, 1985.
16. B.J. Kuipers, “Qualitative simulation,” Artificial Intelligence, vol. 29, pp. 289–338, 1986.
17. B.J. Kuipers and J.P. Kassirer, “Causal reasoning in medicine: Analysis of a protocol,” Cognitive Sci., vol. 8, pp. 363–385, 1984.
18. B.J. Kuipers and J.P. Kassirer, “Qualitative simulation in medical physiology: A progress report,” MIT Lab. Computer Science, Cambridge, MA, Tech. Memo. TM-280, 1985.
19. John C. Kunz, “Analysis of physiological behavior using a causal model based on first principles,” in Proc. Nat. Conf. Artificial Intelligence (AAAI-83). Los Altos, CA: Kaufman, 1983.
20. R.A. Miller, H.E. Pople, Jr., and J.D. Myers, “INTERNIST-1, An experimental computer-based diagnostic consultant for general internal medicine,” New England J. Med., vol. 307, pp. 468–476, 1982.
21. A. Newell, “Artificial intelligence and the concept of mind,” in Computer Models of Thought and Language, R.C. Schank and K.M. Colby, Eds. San Francisco, CA: Freeman, 1973.
22. R.S. Patil, P. Szolovits, and W.B. Schwartz, “Causal understanding of patient illness in medical diagnosis,” in Proc. 7th Int. Joint Conf. Artificial Intelligence (IJCAI-81), 1981.
23. S.G. Pauker, G.A. Gorry, J.P. Kassirer, and W.B. Schwartz, “Towards the simulation of clinical cognition: Taking a present illness by computer,” Amer. J. Med., vol. 60, pp. 981–996, 1976.
24. H.E. Pople, Jr., “Heuristic methods for imposing structure on ill structured problems: The structuring of medical diagnostics,” in Artificial Intelligence in Medicine, P. Szolovits, Ed. Boulder, Co: AAAS/Westview Press, 1982.
25. R. Reiter, “A theory of diagnosis from first principles,” Artificial Intelligence, vol. 32, pp. 57–95, 1987.
26. E.H. Shortliffe, Computer-Based Medical Consultations: MYCIN. New York: Elsevier, 1976.
27. P. Szolovits and S.G. Pauker, “Categorical and probabilistic reasoning in medical diagnosis,” Artificial Intelligence, vol. 11, pp. 115–144, 1978.
28. H. Valtin, Renal Function: Mechanisms Preserving Fluid and Solute Balance in Health. Boston, MA: Little, Brown, 1973.
29. H. Valtin, Renal Dysfunction: Mechanisms Involved in Fluid and Solute Imbalance. Boston, MA: Little, Brown, 1979.
30. S.M. Weiss, C.A. Kulikowski, S. Amarel, and A. Safir, “A model-based method for computer-aided medical decisionmaking,” Artificial Intelligence, vol. 11, pp. 145–172, 1978.
31. D.S. Weld, “Combining discrete and continuous process models,” in Proc. 9th Int. Joint Conf. Artificial Intelligence (IJCAI-85). Los Altos, CA: Kaufman, 1985.
32. B. Williams, “Qualitative analysis of MOS circuits,” Artificial Intelligence, vol. 24, pp. 281–346, 1984.
33. D.G. Bobrow, Ed., Qualitative Reasoning about Physical Systems. Cambridge, MA: MIT Press, 1984.