skip to main content
article
Free Access

Knowledge-based expert systems: a brief bibliography

Published:01 October 1981Publication History
Skip Abstract Section

Abstract

This research was sponsored by the Defense Advanced Research Projects Agency (DOD), ARPA Order No. 3597, monitored by the Air Force Avionics Laboratory Under Contract F33615-78-C-1551. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advanced Research Projects Agency or the US Government.

References

  1. {Bennett & Engelmore 79} Bennett, J. S. and Engelmore, R. S. SACON: A knowledge-based consultant for structural analysis. In Proc. Sixth International Joint Conference on Artificial Intelligence, pages 47--49. Tokyo, 1979. Advises users of a program, MARC, for analysis of physical structuresGoogle ScholarGoogle Scholar
  2. {Boden 77} Boden, M. Artificial Intelligence and Natural Man. Basic Books, New York, 1977. Chapters 1, 10, 12, 15 are pertinent to expert systemsGoogle ScholarGoogle Scholar
  3. {Borning 79} Borning, A. H. THINGLAB - A Constraint-Oriented Simulation Laboratory. PhD thesis, Stanford University, 1979. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. {Brown & Burton 75} Brown, J. S. and Burton, R. R. Multiple representations of knowledge for tutorial reasoning. In Bobrow, D. G. and Collins, A., editor, Representation and Understanding: Studies in Cognitive Science, pages 311--349. Academic, New York, 1975. SOPHIE electronics lab simulationGoogle ScholarGoogle ScholarCross RefCross Ref
  5. {Buchanan & Feigenbaum 78} Buchanan, B. G. and Feigenbaum, E. A. DENDRAL and Meta-DENDRAL: their applications dimensions. Artificial Intelligence 11:5--24, 1978. Chemistry (mass spectroscopy) and scientific inferenceGoogle ScholarGoogle ScholarDigital LibraryDigital Library
  6. {Clancey 79} Clancey, W. J. Tutoring rules for guiding a case method dialogue. International Journal of Man-Machine Studies 11:25--49, 1979. Turning expert systems into teaching / tutorial ones; also 6th IJCAI (1979), pp. 155--161Google ScholarGoogle ScholarCross RefCross Ref
  7. {Davis & Buchanan & Shortliffe 77} Davis, R., Buchanan, B. and Shortliffe, E. Production rules as a representation for a knowledge-based consultation program. Artificial Intelligence 8:15--45, 1977. Discusses MYCIN, an expert on infectious diseases and treatments; see 6th IJCAI (1979), pp. 923--925 (EMYCIN)Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. {Davis 80} Davis, R. Meta-rules: reasoning about control. Artificial Intelligence 15:179--222, 1980. There is a companion paper in the same issue, pp. 223--239Google ScholarGoogle ScholarCross RefCross Ref
  9. {de Kleer 79} de Kleer, J. Causal and Teleological Reasoning in Circuit Recognition. PhD thesis, Massachusetts Institute of Technology, 1979.Google ScholarGoogle Scholar
  10. {Director & Parker & Siewiorek & Thomas 81} Director, S. W., Parker, A. C., Siewiorek, D. P. and Thomas, D. E. A design methodology and computer aids for digital VLSI systems. IEEE Trans. on Circuits and Systems To appear, July, 1981.Google ScholarGoogle ScholarCross RefCross Ref
  11. {Duda & Gaschnig & Hart 79} Duda, R. O., Gaschnig, J. and Hart, P. E. Model design in the Prospector system for mineral exploration. In Michie, D., editor, Expert Systems in the Micro Electronic Age, pages 153--167. University of Edinburgh, Scotland, 1979. See also {Waterman & Hayes-Roth 78}, pp. 203--222Google ScholarGoogle Scholar
  12. {Eastman 81} Eastman, C. M. Recent developments in representation in the science of design. In Proc. 18th Design Automation Conference, IEEE Computer Society and ACM, June, 1981. (Forthcoming): Building design, geometric modelling, and integrity of design databases Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. {Erman & Lesser 78} Erman, L. D. and Lesser, V. R. System engineering techniques for artificial intelligence systems. In Hanson, A. and Riseman, E., editor, Computer Vision Systems. Academic, New York, 1978. General system-building ideasGoogle ScholarGoogle Scholar
  14. {Feigenbaum 77} Feigenbaum, E. A. The art of artificial intelligence: I. Themes and case studies of knowledge engineering. In Proc. Fifth International Joint Conference on Artificial Intelligence, pages 1014--1029. Massachusetts Institute of Technology, 1977. Overview of a number of Stanford systems and their methodsGoogle ScholarGoogle ScholarCross RefCross Ref
  15. {Fenves & Norabhoompipat 78} Fenves, S. J. and Norabhoompipat, T. Potentials for artificial intelligence applications in structural engineering design and detailing. In Latombe, J.-C., editor, Artificial Intelligence and Pattern Recognition in Computer Aided Design, pages 105--119. IFIP Working Conference, Grenoble, France, March, 1978. A view from outside AIGoogle ScholarGoogle Scholar
  16. {Freeman & Newell 71} Freeman, P. and Newell, A. A model for functional reasoning in design. In Proc. Second International Joint Conference on Artificial Intelligence, pages 621--640. London, 1971. Somewhat general, problem-solving approachGoogle ScholarGoogle ScholarDigital LibraryDigital Library
  17. {Genesereth 79} Genesereth, M. R. The role of plans in automated consultation. In Proc. Sixth International Joint Conference on Artificial Intelligence. pages 311--319. Tokyo, 1979. User consultant for MACSYMAGoogle ScholarGoogle Scholar
  18. {Grinberg 80} Grinberg, M. R. A knowledge based design system for digital electronics. In Proceedings of the First Annual National Conference on Artificial Intelligence, pages 283--285. AAAI, 1980. Semi-Automatic Digital Designer (SADD)Google ScholarGoogle Scholar
  19. {Hayes & Ball & Reddy 81} Hayes, Phil, Ball, E. and Reddy, R. Breaking the man-machine communication barrier. Computer 14(3):19--30, March, 1981.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. {Lenat 75} Lenat, D. B. BEINGS: Knowledge as interacting experts. In Proc. Fourth International Joint Conference on Artificial Intelligence, pages 126--133. Tblisi, 1975.Google ScholarGoogle Scholar
  21. {Lesser & Erman 77} Lesser, V. R. and Erman, L. D. A retrospective view of the HEARSAY-II architecture. In Proc. Fifth International Joint Conference on Artificial Intelligence, pages 790--800. Boston, 1977.Google ScholarGoogle Scholar
  22. {Lindsay & Buchanan & Feigenbaum & Lederberg 80} Lindsay, R. K., Buchanan, B. G., Feigenbaum, E. A. and Lederberg, J. Applications of Artificial Intelligence to Chemistry: The DENDRAL Project, McGraw-Hill, New York, 1980. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. {McCorduck 79} McCorduck, P. Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence. Freeman, San Francisco, 1979. Chapter 12 is pertinent to expert systems Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. {McDermott.J 80} McDermott. J. R1: an expert configurer. Technical Report CMU-CS-80-119. Carnegie-Mellon University, April, 1980. Configures VAX computer systems: OPS languageGoogle ScholarGoogle Scholar
  25. {Michie 79} Michie, D. (ed.). Expert Systems in the Micro Electronic Age. Edinburgh University Press, Scotland, 1979. A recent collection of papers.Google ScholarGoogle Scholar
  26. {Newell 81} Newell, A. How to view the computer. In Foundations of Computer-Aided Chemical Process Design. Engineering Foundation, New York, 1981. (Forthcoming)Google ScholarGoogle Scholar
  27. {Nii & Aiello 79} Nii, H. P. and Aiello, N. AGE (Attempt to Generalize): A knowledge-based program for building knowledge based programs. In Proc. Sixth International Joint Conference on Artificial Intelligence, pages 645--655. Tokyo, 1979.Google ScholarGoogle Scholar
  28. {Nii 80} Nii, H. P. Heuristic Programming Project 1980. Stanford University, Department of Computer Science, 1980. Overview of a number of expert systems projectsGoogle ScholarGoogle Scholar
  29. {Nilsson 80} Nilsson, N. J. Principles of Artificial Intelligence. Tioga, Palo Alto, CA, 1980. Chapters 1, 8, 9 and 10 are especially relevant to expert systems Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. {Pople 81} Pople, H. E. Jr. Heuristic methods for imposing structure on ill-structured problems: the structuring of medical diagnosis. In Artificial Intelligence in Medicine. American Association for the Advancement of Science, 1981. (Forthcoming); see also 5th IJCAI (1977), pp. 1030--1037Google ScholarGoogle Scholar
  31. {Powers 72} Powers, G. J. Non-numerical problem solving methods in computer-aided design. In IFIPS Conference on Computer-Aided Design. Eindhoven, The Netherlands, 1972. Discussion of AI techniques applied to design problemsGoogle ScholarGoogle Scholar
  32. {Rieger & Grinberg 77} Rieger, C. and Grinberg, M. The declarative representation and procedural simulation of causality in physical mechanisms. In Proc. Fifth International Joint Conference on Artificial Intelligence, pages 250--256. Massachusetts Institute of Technology, 1977. Complex interconnected systems simulatedGoogle ScholarGoogle Scholar
  33. {Sacerdoti 75} Sacerdoti, E. D. The nonlinear nature of plans. In Proc. Fourth International Joint Conference on Artificial Intelligence, pages 206--214. Tblisi, 1975. Flexible problem-solving and planningGoogle ScholarGoogle Scholar
  34. {Simon 69} Simon, H. A. The Sciences of the Artificial. MIT Press, Cambridge, MA, 1969. Rationalizing the process of design Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. {Stefik 81} Stefik, M. J. Planning with constraints (MOLGEN: part 1). Artificial Intelligence 16:111--140, 1981. Planning experiments in molecular genetics; also 1980 Stanford U. Ph.D. Thesis Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. {Sussman & Steele 80} Sussman, G. J. and Steele, G. L. Jr. CONSTRAINTS - A language for expressing almost hierarchical descriptions. Artificial Intelligence 14:1--39, 1980.Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. {Sussman 77} Sussman, G. J. Electrical design: a problem for artificial intelligence research. In Proc. Fifth International Joint Conference on Artificial Intelligence, pages 894--900. Massachusetts Institute of Technology, 1977. Includes some general pointers; see also Artificial Intelligence 9: pp. 135--196, 1977 (EL)Google ScholarGoogle Scholar
  38. {Teitelman & Masinter 81} Teitelman, W. and Masinter, L. The INTERLISP programming environment. Computer 14(4):25--33, April, 1981. A flexible, responsive environment; issues of personal computing and user interfacesGoogle ScholarGoogle ScholarDigital LibraryDigital Library
  39. {Waterman & Hayes-Roth 78} Waterman, D. A. and Hayes-Roth, F. (Eds.). Pattern-Directed Inference Systems. Academic, New York, 1978. Especially the first and last chapters; exhaustive references Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. {Waterman & Peterson 80} Waterman, D. A. and Peterson, M. Rule-based models of legal expertise. In Proceedings of the First Annual National Conference on Artificial Intelligence, pages 272--275. AAAI, 1980. Legal decision-making system (LDS): RITA and ROSIE languagesGoogle ScholarGoogle Scholar
  41. {Weiss & Kulikowski & Amarel & Safir 78} Weiss, S. M., Kulikowski, C. A., Amarel, S. and Safir, A. A model-based method for computer-aided medical decision-making. Artificial Intelligence 11:145-172, 1978. CASNET expert on glaucoma; see also 6th IJCAI (1979), pp. 942--947 (EXPERT)Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. {Winston 77} Winston, P. H. Artificial Intelligence. Addison-Wesley, Reading, MA, 1977. Chapters 1 and 5 are the most relevantGoogle ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in

Full Access

  • Published in

    cover image ACM SIGART Bulletin
    ACM SIGART Bulletin Just Accepted
    October 1981
    10 pages
    ISSN:0163-5719
    DOI:10.1145/1056737
    Issue’s Table of Contents

    Copyright © 1981 Author

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 1 October 1981

    Check for updates

    Qualifiers

    • article

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader