Computer-based modeling and interpretation in medicine and psychology; the Rutgers Research Resource

  • Saul Amarel
Part of the FASEB Monographs book series (FASEBM, volume 2)

Abstract

The Rutgers Research Resource on Computers in Biomedicine1 was established about 3 years ago with the objective of bringing advances in computer science—particularly in artificial intelligence and in interactive data base systems—into problems of biomedical inquiry. The main thrust of the Resource is to develop ways of using the computer as an integral part of the inquiry process. Our thesis is that the computer can be made to play an important role in this process if its potential for symbol manipulation is used to provide ‘intelligent assistance’ in the organization of scientific knowledge and in its utilization for problem solving.

Keywords

Causal Model Trabecular Meshwork Causal Statement Causal Network Mount Sinai School 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Amarel, S. Problems of representation in artificial intelligence. In: Purposive Systems, edited by H. Von Foerster et al. New York: Spartan, 1969Google Scholar
  2. 2.
    Amarel, S. On the representation of problems and goal directed procedures for computers. In: Formal Systems and Non-Numerical Problem Solving by Computer, edited by R. B. Banerji and M.D. Mesarovic. New York: American Elsevier, 1970.Google Scholar
  3. 3.
    Amarel, S. Representations and modeling in problems of program formation. In: Machine Intelligence 6, edited by Meltzer and Michie. Edinburgh: Univ of Edinburgh Press, 1971.Google Scholar
  4. 4.
    Amarel, S., and C. Kulikowski. Medical decision making and computer modeling. Proc. Subconf. Computers in Biomedicine, 5th Hawaii Intern. Conf. Systems Sci. January 1972.Google Scholar
  5. 5.
    Buchanan, B., and J. Lederberg. The heuristic Dendral program for explaining empirical data. Proc. Intern. Federation Information Processing Soc. 1972, p. TA-2-91-100.Google Scholar
  6. 6.
    Fabens, W. J. H. Pedaglot users manual. CBM-TR 12 New Brunswick N.J.: Rutgers Univ., Dept. of Computer Sci., 1972.Google Scholar
  7. 7.
    Feigenbaum, E. A., B. G. Buchanan and J. Lederberg. On generality and problem solving: A case study using the dendral program. In: Machine Intelligence 6, edited by Meltzer and Michie. Edinburgh: Edinburgh Univ. Press, 1970.Google Scholar
  8. 8.
    Heider, F. The Psychology of Interpersonal Relations. New York: Wiley, 1958.CrossRefGoogle Scholar
  9. 9.
    Kolker, A. E., and J. Hetherington, Jr. Becker-Shaffer’s Diagnosis and Therapy of the Glaucomas (3rd ed.) St. Louis: Mosby, 1970.Google Scholar
  10. 10.
    Kulikowski, C. A., and S. Chokhani. Proc-ess control model for the regulation of intraocular pressure and glaucoma. CBM-TR-17 New Brunswick, N.J.: Rutgers Univ., Dept. of Computer Sci., 1973.Google Scholar
  11. 11.
    Kulikowski, C. A., and S. Weiss. Computer based models of glaucoma. CBM-TR-3 New-Brunswick, N.J.: Rutgers Univ., Dept. of Computer Sci., 1971.Google Scholar
  12. 12.
    Kulikowski, C. A., and S. Weiss. Medical Consultant Program-GLAUCOMA (MCP-G1). CBM-TR 5 New Brunswick, N.J.: Rutgers Univ., Dept. of Computer Sci., 1972.Google Scholar
  13. 13.
    Kulikowski, C. A., and S. Weiss. Strategies for test selection in causal network models. CBM-TR 11 New Brunswick, N.J.: Rutgers Univ., Dept. of Computer Sci., 1972.Google Scholar
  14. 14.
    Kulikowski, C. A., S. Weiss and A. Safir. Glaucoma diagnosis and therapy by computer. Proc. Ann. Meeting Assoc. Res. Vision Ophthalmol. May 1973.Google Scholar
  15. 15.
    Schmidt, C. F. A computer simulation model of the social perception of interpersonal episodes. CBM-TM 11A New Brunswick, N.J.: Rutgers Univ., Dept. of Computer Sci., 1972.Google Scholar
  16. 16.
    Schmidt, C. F., and J. D’Addamio. A model of the common-sense theory of intention and personal causation. Proc. 3rd Inter. Joint Conf. Artificial Intelligence. Stanford, Calif., 1973.Google Scholar
  17. 17.
    Weiss, S. M. A system for model-based computer-aided diagnosis and therapy. CBM-TR-27. (Ph.D. Thesis) New Brunswick, N.J.: Rutgers Univ., Dept. of Computer Sci., 1974.Google Scholar

Copyright information

© Springer Science+Business Media New York 1974

Authors and Affiliations

  • Saul Amarel
    • 1
  1. 1.Rutgers UniversityNew BrunswickUSA

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